Showing posts with label clicksoftware. Show all posts
Showing posts with label clicksoftware. Show all posts

Mobile Expert Interview: Moshe BenBassat CEO of ClickSoftware

I surprised Moshe BenBassat at the Mobile World Congress 2014 with an ambush interview, but we have known each other for many years so he agreed to it.  In this interview we talk about artificial intelligence, ClickSoftware's latest acquisition and developments in the enterprise mobility market.  Enjoy!

Video Link: http://www.youtube.com/watch?v=HN43jSvK1ao&list=UUGizQCw2Zbs3eTLwp7icoqw&feature=share


ATTENTION!  Cognizant is hosting a lunch and learn in Santa Clara, CA on February 27th from 12-2 PM on the subject of Beyond Digital Asset Management: An IT Roadmap for Next Generation Digital Marketing.  Forrester Analyst Anjali Yakkundi will be sharing from her research there as well. If you would like to attend, here are more details - http://app.certain.com/profile/web/index.cfm?PKWebId=0x5873675f2e.

*************************************************************
Kevin Benedict
Senior Analyst, Digital Transformation Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

A New Perspective on Enterprise Mobility and 2014 Requirements, Part 1

Many of us have spent years (some of us decades) working on enterprise mobility designs, development and implementations.  These projects, for the most part, started as tactical implementations for specific LOBs (lines of business).  They involved usually one app, connected to a specific back end system and database.  Over the years these projects evolved to include multiple data sources and business processes.  Today, CIOs and IT departments are being tasked with mobilizing the entire enterprise IT environment.  This task, I propose, requires a new way of looking at enterprise mobility.

Earlier this month (December 2013) I spoke on a panel with Forrester Research's John McCarthy in London.  We were discussing the current and future state of enterprise mobility.  McCarthy stated that 2014 would be the year of "complex mobility" and would cause "Y2K-like" events in many enterprises.  He added that ERP like investments may be required in many enterprises in order to prepare them for a mobile first world.  Herein lies the challenge.

Complex and mission critical IT systems often include legacy systems.  In many cases these legacy systems were not developed to be real-time, or designed to support the speed or operational tempo of emerging business models and mobile environments.  These are where both the complexities and the Y2K-like events will be found.  Legacy systems will either need to be updated to support real-time and mobile environments or replaced. Given these challenges, business analysts will need to understand what parts of their IT systems and infrastructures are problematic.

In order to better understand their IT system capabilities, it seems there is a need for tools and dashboards designed to help the IT department understand which systems are mobilized, which are not.  I can envision a tool/app that provides:
  • a strategic view of enterprise mobility in a dashboard format that provides visibility into which systems are mobilized and which are not within the IT environment
  • a view that shows mobile app security levels, security configurations and data access rights
  • a view that demonstrates the speed in which data can be collected, analyzed and reported for all business processes (i.e. will this process takes 3 weeks, 3 days, 3 minutes or 3 seconds, etc.)
  • a view that shows the time required for all queries and reports to be produced and distributed
  • a view into which systems are capable of supporting a real-time environment and which are not
  • a view that shows all IT systems connected to sensors in the IoT (Internet of Things)
  • a view that shows the budget, plan and priority level for upgrading or replacing each problem IT system that is preventing real-time and mobile support
If market forces and the digital transformation of your industry are driving you to a more online and real-time operational tempo, then what IT systems are or will prevent that migration?  The systems that are preventing that migration must be flagged for an upgrade and/or replacement.

While you are engaged in this process, why not identify blind spots that are forcing you to manage with "conjecture" rather than based upon real and accurate data?  Often mobile apps and sensors connected to the IoT (Internet of Things) can help fill in the blind spots.  These blind spots can be caused because the data is not collected, or not used, or is analyzed so slowly that the usable shelf-life has passed by the time you get it.

Don't worry...we won't run out of things to do in 2014.

Read Part 2 of this article series here - http://mobileenterprisestrategies.blogspot.com/2014/01/a-new-perspective-on-enterprise.html.


*************************************************************
Kevin Benedict
Senior Analyst, Digital Transformation Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Digital Transformation, 3D Laser Scanning of Assets, Mobile Devices and Field Services

It this short video I share more on the merging of the physical world with the digital and how that is impacting industries, markets and businesses in many different areas.  Learn about 3D Laser Scanning to create digital representations of physical objects to improve field services and asset management.  Enjoy!

Video Link: http://www.youtube.com/watch?v=OFKfsE28Lms&feature=share&list=UUGizQCw2Zbs3eTLwp7icoqw




*************************************************************
Kevin Benedict
Senior Analyst, Digital Transformation Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Merging the Physical with the Digital for Optimized Productivity

I write and speak a great deal about digital transformation, however I don't think I have yet clearly defined it and its relevance to businesses.  Let me step back and start by saying my working definition of digital transformation is the application of digital technologies in a manner that enables new types of innovation, businesses models, behaviors, products and services.  Often digital transformations disrupt the status quo, traditional business paradigms and accepted best practices as a result of the merging of the physical world with the digital.  The process of merging, changes many things and we will consider a few of them here.
Figure 1

In a study conducted in October 2013 by Cognizant, 247 executives were surveyed and shared that 73% of core business processes will need to be modernized to meet cost, agility and new market pressures over the next 24 to 36 months.  I believe these "new market" pressures are a direct result of digital transformations happening all around us.

In figure 1, we see an example of the 3D laser scanning of a physical object (the bridge).  The 3D laser scans a physical object, and then creates a digital representation of it.  This digital representation is precise. Once the digital representation is in your computer, you can import it into asset management, maintenance, service and other kinds of software systems.  Here you can add notes, tags, location data, maintenance schedules, inspection reports and regulatory and compliance documents.  All of these data points allow the organizations responsible for maintenance and services to have a very clear understanding of the asset and the services required.  Maintenance and services performed can be tagged to exact locations and documented precisely.  For example, you can mark an iron beam, a bolt, a weld and document maintenance done to each.
Figure 2

The digital representation of the bridge can then be added to a map.  Now you have an exact location and an exact digital representation of the physical object on the map.  These precise digital representations enable the organization that owns the digital content to have a significant competitive advantage over companies that don't.  They can use this data to optimize planning and SLAs. The digital content has an economic value.  It provides a competitive advantage.  You have precise data that your competition does not.

Stored digital content about a person or object is often referred to as a "code halo."  The code (digital content) surrounding something can be used to develop all kinds of new and innovative services, products and businesses.  In figure 2, we have a digital representation of a plant.  Plants need to be maintained and location data, maintenance schedules, maintenance history, parts, materials, SLAs, warranties, service providers, manufacturers, production schedules, costs etc., can all be tracked for every part, machine, pipe, belt and component of the plant.  Sensors with wireless embedded chips connected to machines, equipment and other key components of the plant can monitor the operational status of the plant and can provide additional digital representations of the health of the plant.  Problem areas can quickly be identified, isolated and visualized.  Maintenance and repairs can then be conducted on an optimized plan and schedule that minimizes downtime.

A plant that is digitally transformed is likely to be far more productive and profitable than one that is not.  We have been considering digital transformation in the context of bridges and plants here, but these same types of transformations are impacting retail banks, insurance, healthcare, education etc., as well.

Over the next 5 years we will witness the rapid digital transformation of just about every industry and market around the globe.  The winners in the global marketplace will be those companies that best understand how these digital transformations can be used to lower costs, increase situational awareness, improve productivity, customer service and sales.

Software companies like ClickSoftware, the leader in Gartner's Magic Quadrant for Field Services three years in a row,  are investing heavily into digital transformations, utilizing real-time enterprise mobility, geospatial data and artificial intelligence to optimize workforce and service scheduling.

In the book industry, physical books were transformed into eBooks. Physical bookstores were transformed into online digital marketplaces.  Book warehouses were transformed into databases. Physical transportation and logistics services were transformed into digital downloads.  In music and entertainment, physical records, tapes, CDs, DVDs, etc., were transformed into digital downloads.  Physical music and movie rental locations have also been replaced by digital markets.  In retail banking, mobile apps are quickly replacing physical bank branches.  The transformations are endless.

It is each of our roles to monitor our own industries, markets and businesses and to embrace the digital transformations taking place and to position ourselves to be in the the winners column.  We must continually ask ourselves, "Are we acting strategically enough to matter, and at the pace of innovation required to succeed?"

*************************************************************
Kevin Benedict
Senior Analyst, Digital Transformation Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility


***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Thinking about Enterprise Mobility, Digital Transformation and Doctrine

Last week I was in Europe speaking and teaching enterprise mobility and digital transformation strategies.  I worked with several large multinational companies where I heard the same questions asked, "How do we convince our executives that we must change, and invest in change?  How do we establish a culture of innovation, capable of winning in a world of digital transformation?"  The change they were referring to had to do with the convergence of the physical world with the digital and its impact on markets.  These changes are introducing new ways of selling, marketing, manufacturing and moving products in a digital world that is rapidly being transformed as a result of innovations in social, mobile, analytics and cloud technologies.  We are seeing entire industries and marketplaces turned upside down as a result of these innovations.  How can companies deal with all these changes at the pace required to remain competitive?

I have been pondering those questions since.  How do you change the traditional culture of a large multinational organization with institutionalized ways of planning, operating and decision-making that were developed and codified in a different era?   An era that was operating at a far slower operational tempo.

The people attending my sessions last week understood their marketplaces were changing.  They also understood that their companies were not aligned with those changes, or the pace of those changes.  They expressed sincere and deep concern about these changes.  You could see they were challenged with how to move forward.

We have some examples of change and transformative experiences.  We have seen these levels of change happen in modern militaries over the past couple of decades where they recognized an urgent need to re-invent themselves.  They realized a need to change and implement new organizational structures, prioritize budgets differently, develop new strategies and technologies in order to remain relevant.  There was and is a big difference between the needs of the cold war era, where armies were lined up across from each other along the Iron Curtain, and the requirements of modern, geographically dispersed battlefields of today.

Militaries recognized a new level of importance around information collection, processing, analyzing, reporting, sharing and collaboration.  They labeled information logistics the 5th dimension of warfare.
They recognized the value and implemented "network centric operational" approaches that place a premium on information sharing, speed, innovation, swarming and agility.

When military organizations recognize that battlefield requirements have changed significantly and that new ways of thinking will be required to be successful, they begin a transformational process that starts with developing a high level doctrine that communicates a new way of thinking across the organization.  I believe this is also what is needed in commercial enterprises today.  Management must identify the "new-way-of-thinking" that is required to compete successfully in a transforming marketplace.

What do I mean by enterprise doctrine?  I define enterprise doctrine as a way of thinking, a common frame of reference across an organization. It provides an authoritative body of statements on how the business should operate and provides a common lexicon for use.  It is a formal expression of best practices which covers the nature of competition, research and development and go-to-market strategies for winning in the marketplace.  It does not provide a checklist of procedures or tactics, but is rather a guide, describing how the enterprise thinks about business and marketplace competition.

From the top down, management must define how the organization should think about things like innovation, mobility, digital transformation, big data and competition.  This enterprise doctrine should be obvious in every program, project, campaign, product and service within the company.

An enterprise doctrine may include clear statements like:
  • Mobility is where we find, market, sell, transact, collaborate with, and service our customers, employees, suppliers and partners.
  • The digital transformation of our marketplace is real and will drastically alter the competitive landscape and create new winners and losers.  We will embrace these changes by rapidly transforming our strategies and processes to meet these changes and to be a winner.
  • Competition will be intense and winners will be those better able to collect, transmit, process, analyze, report and collaborate around real-time data.  Our information logistics systems will be superior to our competition, and we will invest appropriately to achieve and maintain this superiority.
  • We recognize a need to rapidly respond to market and consumer behavior changes at a pace never before seen.  As a result, we will organize ourselves for agility, speed and real-time decision-making.  We will develop and optimize our infrastructures, organizations, manufacturing, supply chains and logistical systems for maximum agility and speed to market.
  • We will develop a culture that encourages collaboration, innovation, creativity and promotes good ideas rapidly through a well-defined innovation process that supports Cognizant's motto of, "Think big, start small, fail fast, scale quickly."



*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Reducing Conjecture with Enterprise Mobility and M2M

Mission critical enterprise mobility is all about removing blind spots from people and processes. ~Kevin Benedict

The competitive battlefield of 2014 will increasingly involve data.  It will be about collecting, transmitting, analyzing and reporting its meaning faster and more efficiently than competitors.  If you can digitally represent locations, events, activities, resources, job skills, assets, schedules, materials, job statuses, etc., in remote and mobile locations accurately, then you have the ability to introduce incredibly powerful algorithms and AI (artificial intelligence) capabilities that will greatly enhance your ability to optimize processes automatically within your software systems.  WOW!  That was a mouth full!  If you have hundreds of locations, projects and job sites and thousands of assets and remote workers, your future viability as a business is likely to depend on your ability to rapidly and efficiently introduce AI into this environment.

Let me introduce another term to our discussion - machine learning.  It is a branch of artificial intelligence relating to the development of systems that can learn from data and the results of past decisions and actions.  An example is a turn-by-turn navigation system that can re-route the driver based upon traffic conditions.  The system can re-route, analyze the efficiency of the new route, and then store the results for future re-routing considerations.  Another example would be a workforce scheduling system that can dynamically analyze thousands of service technicians schedules based upon SLAs, location, job status, skill levels, available equipment, materials and parts and can automatically adjust everyone's schedules throughout the day to optimize productivity and profits.

In order for AI and machine learning to work, there must be accurate data that digitally represents the situation and environment.  If this data is not available, you have a blind spot.  Blind spots lead management to make decisions based upon conjecture.  Conjecture is defined as a proposition that is unproven.  Conjecture is the enemy of AI and machine learning.  Conjecture means decisions are being made that are unsupported by data.  Often the cause of conjecture in a business is the lack of data due to a blind spot in a process.

If you don't know where an asset is located, you can't schedule its arrival at a job site.  If you don't know what skills or experience a service technician has, then it is hard to predict how long a job will take.  These two simple examples demonstrate a blind spot that is likely to lead to management conjecture.  How do you fix a blind spot?

Blind spots are the lack of visibility, so the answer is to provide visibility.  Technology answers can be in the form of mobile devices, mobile applications, GPS tracking, automated data collection, barcode scanners, wireless M2M sensors, video monitoring, etc.  All of these technology solutions can enhance visibility and situational awareness by providing accurate and timely data which eliminates conjecture from decision-making and supports the introduction of AI and machine learning.

Gartner has ranked ClickSoftware as the leader in the top right quadrant for field service management for the last three years.  This is in large part because of the automation, context aware capabilities and artificial intelligence they continue to enhance and expand in their systems.  You can read more about their AI features here - http://www.clicksoftware.com/982c4fab-524c-4d99-82f6-a033aa347ede/news-press-releases-detail.htm.

What is it going to take to eliminate blind spots and conjecture from your business?

*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Using Artificial Intelligence in Health Services Requires Real-Time Enterprise Mobility

I am intrigued by the increasing use of artificial intelligence in areas like field services management and home healthcare services.  I read a use case (http://www.clicksoftware.com/Collateral/Documents/English-US/KinCare-Case-Study.pdf) this morning about KinCare and ClickSoftware in Australia.  KinCare provides all kinds of home and healthcare services across a wide geography in Australia.  They are one of the largest providers of in-home care and assistance in Australia and they get paid by providing documented services compliant with government regulations.  There are designated fees for each service and there are little to no margins for errors. It is very easy to screw up and to lose a lot of money in this kind of operation.

Let me provide an example of KinCare's services:
  • Nursing care
  • Personal care
  • Domestic assistance
  • Social support
  • Respite care
  • Transportation
  • Case management
Some of their clients need all of these services.  These services are often provided by different people at different times.  Let's image tens of thousands of clients, care givers and service providers located all across Australia.  All of these participants and their appointments must be scheduled and coordinated.  Does that sound like a big enough challenge for you Mate?

The only way to run this kind of operation efficiently is to make sure the care givers and service providers are connected (via mobile devices) to an intelligent software system (using artificial intelligence and context aware systems) to understand how to most efficiently provide and schedule hundreds of thousands of services.  In addition, must also make sure each care and service provider is qualified, available and in close proximity.  Also it is important to note that these services are critical to a persons health and welfare.

The mobile devices are used as mobile data collection devices, sensors (GPS) and reporting systems in the service delivery process. Mobile devices feed real-time data to the real-time analytics and artificial intelligence systems that schedule all parties across the country.  Since all of these participants are mobile, it takes very careful and fast analytics to ensure all parties can meet in the right places, deliver and receive services efficiently, document services and invoice for those services.

Smartphones and tablets, broadband internet connectivity and ultra-fast artificial intelligence capabilities integrated with human resource, talent management, scheduling, case management, patient and service management, billing and dispatch systems are all required to make this work.  Wow!  Speed and artificial intelligence systems are revolutionizing these kinds of operations today.

When I am out teaching mobile and SMAC strategies to large companies the topics of speed, context aware and artificial intelligence comes up every time.  These are the game changers today.



*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Where the Physical Meets the Digital in Field Services and Asset Management

I am fascinated by the notion of the physical world converging with the digital world and the benefits that become possible as a result.  Not in the context of a humanoid weeding my garden, although that would be nice, but in the context of making better business management decisions based on more efficient data collection and reporting.  The term digital transformation is often used to describe this convergence.

Think of growing the best possible garden full of award winning fruits and vegetables.  The garden may consist of some physical things like dirt, seeds, containers, plants and tools, but the key to success is the information about the garden.  The information about the soil, types of plants or seeds, appropriate time to plant and harvest, weeding and watering schedules, the best fertilizers to use based upon the soil conditions etc.  This information can be collected and input into a software application as digital information.  Once digital, software applications can analyze this information and create schedules and plans on how to optimize the production of the garden.  Business operations are much the same.  The more data that can be collected and analyzed on location, physical assets and facilities, environmental conditions, tasks, status, etc, the better planning and optimization can be done by software applications utilizing artificial intelligence.
Integrating Geospatial with ERPs

Let's consider utilities and other geographically dispersed operations.  Effective data collection, management, analysis, and reporting of data is critical.  They own and management data-driven systems of pipes and wires, poles, valves, substations and switches all associated with data such as location, service history, asset details, maintenance records, applicable product warranties and history.

Utilities must know a massive amount of geospatial information about their assets and the environment around them.  Think about an underground gas line.  The utility needs to know the exact location of it, creeks, rivers, roads, property owners and property lines, access routes, location relative to other construction sites, environmental impact studies and issues, minor and major transportation lines crossed, just to mention a few data points.  In addition, a lot of information is dynamic like new construction sites, road building, digging, erosion, etc.  Not only must the utility collect and store static information like asset details, but dynamic data about activities and tasks around it.  Wow!  You can quickly see that efficient information  collection is critical.

Efficiently operating a utility grid is mostly about implementing an efficient logistics of information system connecting field data collection and management and planning solutions in the office.  If you are a sub-contractor for services, it is also the way you get paid.

Today many are considering the use of tablets for collecting and querying required field data.  The problem is tablets still have painful limitations. First, while tablets have the computing power of laptops, their memory remains limited, which impacts their capabilities when working with large geospatial databases unless you purchase specialized geospatial software purpose-built for tablets.  Secondly, connectivity in the field is often intermittent, while geospatial data access needs are constant.  This necessitates a robust offline mobile app and data storage capability often missing from tablets.  And finally, there are multiple tablet operating systems available, which often dictate the type of applications, databases and geospatial applications that can be used by your workforce.

If your organization is considering the use of tablets in the field look for applications that can support multiple tablet operating systems, offline data editing and data collection and integration with all of your required ERPs and geospatial enterprise applications and databases.

Now let's get back to the notion of the physical meeting the digital.  In a utility, the digital information (code halos) related to a physical asset and the tasks around it are the keys to planning, scheduling and maintaining it for optimized productivity.  That means efficient data collection is critical to digitizing your physical environment and gaining the benefits of artificial intelligence built into your planning, scheduling and asset management solutions.

Today efficient data collection can be facilitated through M2M (machine-to-machine) embedded wireless chips integrated with sensors that automatically report on conditions and statuses of equipment, assets and facilities, and by field workers using smartphones, rugged laptops or tablets.

How efficient is your data collection system?  Are there gaps that are preventing you from fully digitizing your physical operational area and leaving you with geographical and operational blind spots?

*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Enterprise Mobility, Network Centric Operations and Decision Making

Mobile apps for the enterprise can offer significant value on their own, but when integrated together into a network (network centric operations) with many other applications, the IoT (internet of things) and other data collection technologies, this network of applications can offer exponentially greater visibility and value to an organization.   The challenge is to understand how to use this plethora of data for the purpose of good operational decision-making.  Modern military strategies offer some useful insights for us.

USAF Colonel John Boyd is credited with the concept of the OODA loop.  The OODA loop (Observe, Orient, Decide and Act) is a concept originally applied to combat operation processes. Today it is also applied to commercial operations and learning processes where significant value has been realized.

According to Boyd, decision making occurs in a recurring cycle of observe=>orient=>decide=>act.  An entity (whether an individual or an organization) that can process this decision making cycle quickly, observing and reacting to unfolding events more rapidly than an opponent, can thereby "get inside" a competitor's decision cycle and gain the advantage.

In the business world, OODA loop is an emerging concept for making decisions and managing fast changing field services, projects and mobile operations.  Today the ability to observe events from afar benefits from mobile technologies and connected devices such as:
  • Wireless networks
  • IoT
  • Mobile data collection solutions (mobile inspection forms, barcode scanners, RFID, GPS, etc.)
  • Mobile field services applications
  • Mobile business intelligence applications
  • Enterprise asset management solutions
  • Plant maintenance systems
  • Mobile CRM
  • GPS location tracking technologies
  • etc.
Mobile data collection and the IoT supply the data that enables a field services or plant manager to observe from afar.  

The next step in the OODA loop is orientation.  The manager needs to be oriented as to what the data means, and how it impacts the mission.  

Decide - now that you have the necessary data and you understand what it means, you must make a good data-driven-decision.  

Act - take action without delay based upon all the data you have received, its business meaning and the decision you have made. 

The “loop” refers to the fact that this is a continuous process.  The loop or cycle never stops.  Each time you complete a cycle in the OODA loop you observe, orient, decide and act again based upon the results you see from the prior cycle.  If the results are positive, you can continue down that path and improve it.  If the results are negative, you quickly adjust and review the results again.  It is a fast moving process of trial, error and adjustment until you get the results you want.  Not dissimilar to the agile programming methodology.

The OODA loop is particularly useful in environments that are chaotic and unpredictable.  In these working environments, decision making is often very difficult and without appropriate training paralysis in decision-making results and nothing gets done.  The OODA loop is a decision making process that is well suited for helping people make decisions and acting in situations where there is no existing road map to follow.
   
The military has effectively utilized the OODA loop decision making processes in the chaos of battle found in air combat, tank warfare and daily in Special Forces operations.  There is a lot to be learned from these experiences in decision-making.

In a world where nearly 40 percent of the workforce is mobile, companies must learn and implement these concepts in order to successfully manage mobile operations and services from afar.  To be successful implementing and integrating the OODA loop and Network Centric Operational concepts into your field services operations requires the following:
  1. Data collection systems and processes.
  2. Real time knowledge of the location of your mobile workforce, assets and inventories.
  3. Real time knowledge of the capabilities and expertise of your mobile workforce.
  4. Real time status and progress updates of the tasks, work assignments and schedules of the mobile workforce.
  5. Real time knowledge of the location of all inventory, equipment, tools and other assets required to complete specific tasks.
  6. Work order management system that assigns, schedules and dispatches specific assignments to specific members of your mobile workforce.
  7. Business intelligence software applications for analyzing data collected in the field.
All of the items listed above help provide the real time visibility into your field operations that is required in a Networked Field Services organization practicing OODA loop management decision making.

One of the remaining challenges, however, with the systems listed above is that humans quickly become overwhelmed by large volumes of data.  Complexity can become an inhibitor to the practice of OODA.  It is not enough to have real time visibility into massive volumes of data, as one must be able to orient and understand what the data means and how it will impact the mission.  Business intelligence software, context aware and artificial intelligence capabilities all fit in here. 

*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Enterprise Mobility, IoT and the Network Centric Operation

Manufacturing plants, vehicles, high valued equipment and other assets can take advantage of the IoT (Internet of Things) and low cost embedded mobile devices to provide visibility into operations and events in remote locations.  M2M (machine to machine) data can report on anything that a sensor can read for example: operational status, location, environment (pressure, heat, cold, wet, dry, etc.), hours of operation, maintenance and repair needs. This data can then alert field managers and service teams when there is a problem or event that requires their attention.
 
The location of mobile workforces can also be tracked via smartphones or vehicle tracking systems which enables management to better understand how to optimize the use of experts and assets across a geographic area.

Today wireless remote sensors are capable of bi-directional data exchanges.  Sensors can both send data to the central server and receive data in the form of machine commands.  In many cases remote sensors can receive commands from central servers to adjust settings or perform other functions via wireless data exchanges.  This opens up a wide area of possibilities.  Today we see irrigation canal gates, greenhouses and other facilities and assets controlled remotely using this technology.

M2M is a way of connecting physical and digital things to each other wirelessly through a network. These connections, and the data exchanged, can provide real time visibility and access to information about the physical world and the environments around the M2M enabled objects in it.  This is an important component used to develop full situational awareness of a given area of operations.  Used in the context of an electrical grid, enterprise asset management system, plant maintenance, field service automation system, or any other mobile workforce management solution, this data can lead to innovations and gains in efficiency and productivity that were never before possible.

Juniper Research predicted that the number of M2M and embedded mobile devices will rise to approximately 412 million globally by 2014.  ABI Research used a more conservative set of numbers and says that there were approximately 71 million cumulative M2M connections in 2009 and predicts this will rise to about 225 million by 2014.  GSMA predicted that there will be over 50 billion embedded mobile devices by 2025.  All of these predictions represent big numbers and a lot of data. The challenge for managers today is how to turn this high volume of available data into actionable intelligence.

Some of the key markets for M2M systems are:

  • Utilities/Smart grids
  • Fleet management/Automotive systems 
  • Equipment monitoring/Plant maintenance
  • Connected homes/Home Energy Management Systems (HEMS)
  • Healthcare - Remote patient and health monitoring, medical equipment monitoring
  • Vending/POS
  • Remote asset management monitoring
  • Security systems
  • Consumer electronics (eReaders, Wireless Printers, Appliances, etc.) 

In a world filled with M2M data feeds, the question is what can you do with all of this data?  Where can this data provide value?  This is where business intelligence applications are needed - solutions that have the capacity to immediately analyze vast amounts of data and recommend how best to use it for optimal operational efficiencies.

I am seeing companies like ClickSoftware embed artificial intelligence into their scheduling and workforce optimization and field services solutions.  They use collected data to predict the needs of the field services workers.  M2M data enhances these kind of solutions with additional data provided by sensors on machines, in plants and across utility grids.  ClickSoftware has a new software component titled ClickButler designed to predict, based on a wide range of collected data, the information most relevant and needed by your mobile field services teams.  This is just the beginning of a new wave of innovation.

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Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Mobile Expert Video Series: Bill Moylan

I was in Miami this week at the Enterprise Mobility Exchange 2013.  While there I met up with mobile expert Bill Moylan, Global VP of Alliances for ClickSoftware, and interviewed him about new "context aware" mobile apps.  Enjoy!

Video Links: http://youtu.be/ztoL-CqTaXE



*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Mobile Expert Video Series: Bob Egan

This week I had the privilege of meeting and interviewing renown mobility expert and industry analyst Bob Egan.  In this interview we focus on failure.  How can a company guarantee their mobility project will fail!  Enjoy!

Video Link: http://www.youtube.com/watch?v=iq1mw77GOhI&feature=share&list=UUGizQCw2Zbs3eTLwp7icoqw


*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Mobile Data as a Competitive Advantage

The success of companies today is less dependent on their physical assets, and more dependent on their ability to competitively utilize data.  Just think of companies like Kodak, Borders, Blockbuster, etc., that had great physical assets but could not effectively make the transition into the data driven digital era.  In the new whitepaper Code Rules: A Playbook for Managing at the Crossroads, the authors Malcolm Frank, Ben Pring and Paul Roehrig provide examples of this theory and recommendations for supporting it.  

This theory resonates with me.  I speak weekly with service companies that want to support a real-time environment that will provide situational awareness of all field operations, but their IT infrastructures are not capable of supporting a real-time environment.  This is a problem as it prevents effective use of data which limits their competitiveness.

Let's image a scenario as follows - two service companies are competing for a large industrial HVAC (heating, ventilation, air, condition) contract.  Company A can commit to an eight hour SLA (service level agreement) to be onsite for repairs.  Company B can commit to a two hour SLA.  Which company has a competitive advantage?

Company B has full and real-time situational awareness of the location, job status and qualifications of all of their employees and resources and can quickly and dynamically change their assignments and schedules and get them to the point of need.  Company B has a better "logistics of information" system which results in a competitive advantage.

Think about what it takes to support a real-time environment.  It requires a different kind of IT architecture and infrastructure than many companies have today.  It would be a mistake to think this is an enterprise mobility problem.  It is a company problem.  Today, real-time data is everything.  It is not enough to only review end of quarter numbers.  If there are problems in your processes or operations, they should be recognized and fixed as they happen.


There is a saying I read the other day that I really like, "If your customers are adopting technology at a faster rate than you are supporting it, you are opening up an opportunity for your competitors."

Service companies need to recognize there are important sources of data (code halos) around at least five specific areas that should be properly managed and utilized:
  • Customers
  • Products/materials/supplies
  • Employees
  • Partners
  • Enterprises/Organizations
This data needs to be captured, processed, analyzed, reported and acted upon in real-time.  Although mobility is a key component of this, the IT infrastructure of most companies needs to be updated to support it, and management must have a business strategy in place that prioritizes the recognition and exploitation of "code halos" in all of their plans.
*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Mobile Apps for Short-term Projects

I had the privilege of speaking before a group of service sector leaders this week in Chicago, Ilinois on the 95th floor of the John Hancock building.  During this event I had the opportunity to speak with many field services professionals about their operations and strategies.  Many of the challenges these folks face are the typical ones around change management, process re-engineering, mobile device selection and connectivity.  However, I also heard about the need to quickly develop mobile apps for short-term projects, a recurring issue in many construction, inspection and engineering related projects.

There is a significant segment of the "hard hat" market that needs project based mobile apps.  These apps must be quick and easy to develop as they may only be used for three months on a particular project.  The ROI needs to be a matter of days, not years.  During those three months, however, project management and the profitability of the project could realize great benefits from having real-time data collection, reporting and collaboration via mobile devices.

I think a project-based mobile app may need to include a quick data collection and reporting template that is pre-integrated with a database and reporting tool. Otherwise, the integration and report generation work might take longer than the project.
*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Mobile Marketing, Business Analytics and Code Halos

In an article I published earlier this week, Digital Transformation, Code Halos, Analytics and Mobility, I provided an overview of the concept of Code Halo™.  The idea is that nearly all organizations, brands, products and people are surrounded by a halo of data.  Companies that recognize the value of code halos will develop new business models and IT systems to utilize these code halos to better engage with customers and prospects, deliver more relevant content and employ precision marketing and support campaigns based upon known interests and desires.

Today I want to explore the role of mobile marketing and how it relates to code halos.  First, let's review the four basic elements of a "logistics of information" system that can derive value from code halos:
  1. There must be effective data collection strategies - Often in the form of mobile apps, loyalty programs and online commerce sites that enable a customer to opt-in to various programs, campaigns and deals and share their personal preferences.  This is how you begin to collect and harvest useful data from your customers' code halos.
  2. The system must uniquely identify and recognize a user.  This identification is associated with a code halo.  This recognition enables the IT and e-commerce systems to customize and personalize content, which provides a more relevant and positive experience for the customer.
  3. The ability to recognize patterns, find meanings, and to spark new ideas and innovation by analyzing, comparing and combining multiple code halos is another important development.  Here is an example - Store number 2 recognizes that a sub-set of their customers all share similar code halos - which includes product preferences, lifestyles, demographics and buying habits.  Store number 2 also closely analyzes the code halos of their suppliers' products, brands and target customer profiles.  As a result, Store number 2 can introduce new marketing campaigns and products that very closely align with the preferences and tastes of their individual customers and sub-sets of customers.
  4. Each campaign or program roll-out is continually analyzed and optimized to improve precision and future results.
Point number one above is effective data collection strategies.  In an age of digital transformation, data collection can often be facilitated via mobile apps, social networking analysis and e-commerce/shopping sites.  Mobile apps have the added luxury of being location aware.  Location, preferences, searches, shared opinions, buying history, time of day, etc., can all be collected via mobile app interaction and added to your code halo.

Analyzing a code halo, however, does not drive value or provide a competitive advantage.  The analysis should result in personalized content being sent to the mobile app of the customer or prospect.  This precision marketing, based on analyzed code halo data, will as a result, drive an increase in sales and company value.  

The three biggest challenges now for companies are:
  1. Recognize code halos and implement business strategies to utilize them.
  2. Implement a logistics of information system to manage and utilize code halo processes.
  3. Spark innovation by comparing and combining various code halos and the resulting insights.
  4. Utilize the analysis of code halos in ways that add value to your company.

*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

What Does Research Say is the Competitive Advantage of Data?

The explosion of mobile devices, e-commerce and "The Internet of Things" is introducing massive amounts of new data into our ecosystem.  Some companies ignore this data for all but the most tactical explorations, but others are revolutionizing entire industries by recognizing the value of this data and taking advantage of it.

My colleague, Ben Pring, has been conducting a lot of research this year on the impact of business analytics, big data and other fast emerging business strategies on a company's ability to compete.  In this guest post Ben shares his latest findings.

What one key characteristic separates today’s high-flying outperformers – such as Apple, Google, Amazon, Netflix and Pandora – from fast-followers, wannabes, and laggards? It’s a precision focus on the information that surrounds people, organizations, products and processes – what we call Code Halos ™ – to build new business and commercial models. These leading companies have realized that the data – or Code Halo – that accompanies people, organizations and devices contains a richness of business insight that far outstrips the value of physical assets that have historically underpinned market leadership. Conversely, companies that have missed or misunderstood the Code Halo phenomena are now struggling to cope in markets that are moving at warp speed; some, in fact, have already succumbed.

We are in the early stages of an exciting and important new era in which Code Halos radically reshape the rules of business competition. Built on the SMAC Stack ™ (social + mobile + analytics + cloud technologies), Code Halos are being harnessed to help enterprises advance from old-world industrial models (premised on physical assets) to new structures informed by by digits.  Our study of Code Halos, in fact, reveals a new “crossroads” that businesses across industry must navigate to achieve sustained market prosperity and avoid what we call an “extinction event.”

From Personal to Business Code Halos

Each one of us is creating our Code Halo with every click or swipe of our phone, tablet, laptop, Glass, Nest, FuelBand, dashboard, or other smart device. Every transaction we make, every “like” we record, every preference we note, is building a digital fingerprint of who we are and what makes us tick. Our Code Halos, which have been building and deepening as more and more of our lives have become digitized, contain a multiplicity of attributes that reveal our likes, dislikes and behaviors, from recommendations of  great new books to  personalized radio stations that play our favorite  songs, many of which haven’t left their CD cases for a million years.

The Code Halos that exist around individuals are unlocking incredible new value for all of us and for the companies that we do business with.  But the Code Halo story doesn’t end in the consumer world. More and more smart companies are realizing that the concept of Code Halos isn’t confined to (relatively) simple B2C activities, such as book selling or online music. Instead, they’re recognizing that their very organizations have a Code Halo and that within their organizations they have hundreds, thousands, millions of Code Halos, made up of every digital interaction with every smart device they touch across “the Internet of Things”  (all of which of course have their own Code Halos).

This realization is sending profound shock waves through board rooms, as forward-thinking business and technology leaders begin to see the impact that the management – or mismanagement of Code Halos – has on corporate fates. In fact, many are now coming to grips with Code Halo intersections and how they can impact every meaningful aspect of their business operations, from design, to production, to selling, to talent management.

Winning in the New Code Rush

Whether it be the hipster in San Francisco using Square Wallet on his morning latte run or the engineering conglomerate getting its turbines to Tweet or the Singaporean government establishing its homeland as a “living analytics” test bed, the leverage of Code Halo thinking is making businesses big and small think about how the code they generate can collide with the code generated by other people, devices, and organizations. And, perhaps more importantly, how this data can be mined to create new products and services that are genuinely innovative.

To learn more about Code Halos, download our white paper at unevenlydistributed.com.

Ben Pring co-leads Cognizant’s Center for the Future of Work. He joined Cognizant after spending 15 years with Gartner as a senior industry analyst researching and advising on areas such as cloud computing and global sourcing. Prior to Gartner, Ben worked for a number of consulting companies including Coopers & Lybrand. His expertise in helping clients see around corners, think the unthinkable and calculate the compound annual growth rate of unintended consequences has brought him to Cognizant, where his charter is to research and analyze how organizations can leverage the incredibly powerful new opportunities that are being created as new technologies make computing power more pervasive, more affordable and more important than ever before. Ben graduated with a degree in philosophy from Manchester University in the UK. He can be reached at Ben.Pring@cognizant.com.
*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Mobile Expert Video Series: Florian Ganz

In this short video interview with mobility expert Florian Ganz, recorded in Lisbon, Portugal last week, I ask his opinions on how to select the most appropriate mobility platforms, cloud mobility and when to use HTML5.  Enjoy!

Video Link: http://youtu.be/6DKgCoHX_bA

*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Gartner's Latest Thoughts on Enterprise Mobility and SMAC

ClickConnect Europe 2013
I had the good fortune to attend a session this morning at ClickSoftware's ClickConnect Europe 2013 with Gartner's Research Director Dr. Richard M. Marshall.  Here are some of the notes I took from the session:

  • By 2017 Microsoft will sell as many mobile operating systems as Apple.  This is a bold prediction, but Gartner insists their projections are on track.
  • Enterprise collaboration tools will be the source of "huge" productivity gains.
  • By 2017 82% of handsets shipped will be smartphones
  • Mobile security, mobile device management and mobile app management are only going to get more complex.  Recognize how each additional app adds to the complexity and develop a strategy now that will keep the TOC manageable.  No wonder the MDM (mobile device management), MAM (mobile application management) and EMMP (enterprise mobile management platform) vendors are getting all the investor attention this year.
  • The Internet of Things (IoT) is a big deal.  Smartphones will be the end-points of choice for the connected device data.  Smartphones will enable you to view the meaning of connected device data and to act on it.
  • Gartner is using a new phrase at this conference - The Nexus of Disruptive Forces (social, mobile, information and cloud).  They added the term "disruptive" for added emphasis.  I agree.
  • The more people that work virtually or are remote and mobile, the more important it is to have social bonding between employees through collaboration tools.
  • Gartner is also talking about different technology layers in an IT environment moving at different "paces" of change.  The system of record may have a very slow pace of change, but the top "Innovation" layer may evolve and change at a very fast pace.  This "Innovation" layer is well suited for mobile solutions and cloud based apps.  Having different paces, however, requires each layer to be abstracted from the other to permit different paces of change.  This is a good way to think about technology stacks and how to design and develop your IT infrastructure.


*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Connecting the Dots Between Enterprise Mobility and IoT

Lisbon, Portugal
I had the privilege of having breakfast with Dr. Moshe BenBassat, Founder/CEO of ClickSoftware, on a deck overlooking the Mediterranean this morning.  Over an English breakfast, Dr. BenBassat shared that back in 1985 his team had developed software tools to diagnose equipment for the military.  It seems two thirds of all parts replaced were unnecessary.  The parts were being replaced in an effort to find and fix a problem without having first properly diagnosed it.  His team was tasked with designing an artificial intelligence system to process and analyze data in order to properly diagnose problems so only the required parts would be replaced.

In 1985 there were huge challenges to this task.  There were not wireless data networks commercially available.  There was not a lot of data available.  There were no IoT (Internet of Things) solutions deployed to gather data, there were not "big data" systems that could crunch numbers in seconds and there were no IBM Watson artificial intelligence systems available to diagnose problems and come up with answers in seconds.  Dr. BenBassat's team was successful, but the final solutions could only be used in areas where there was a lot of time available to come up with an answer.  The system couldn't work in a real-time environment.

A lot has changed since 1985.  Today, equipment/assets, using embedded wireless chips and sensors (M2M), can report on itself and wirelessly send data to a server.  This data can be processed in real-time, analyzed and the diagnosis can be shared wirelessly to the mobile device of a service technician.

Today, with big data analysis, service companies don't have to just rely on manufactures' data to understand when maintenance or repairs are required.  If you have thousands of wind turbines operating and reporting their sensor and system data to your server, it does not take a lot of time to start seeing patterns using big data analysis.  These patterns can help you diagnoses problems, and better plan your future maintenance and repairs in a manner that does not result in unplanned shut-downs.  This results in improved productivity and output.

Dr. BenBassat's system designs, math and algorithms for artificial intelligence were accurate and powerful in 1985, but the technology was not there.  It is a different story today.

Today, it is not the lack of technology that prevents these productivity gains, rather it is the lack of management connecting the dots to existing systems and technologies.  I teach SMAC (social, mobile, analytic, cloud) strategies just about every week somewhere in the world.  Most of my work is not teaching about new technologies, but rather helping CIOs connect the dots to what is already available today.

*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

SMAC Expert Series: SAP's Sameer Patel, Part 3

This is the third part of an enlightening interview with SAP's GM for Enterprise Social Software, Sameer Patel recorded at SAPPHIRENOW 2013.  In this segment we talk about the value of enterprise social platforms and how enterprise mobility fits into it.  Enjoy!

Video Link: http://youtu.be/kDYDmrXaCR8

Watch Part 1 here
Watch Part 2 here



*************************************************************
Kevin Benedict, Head Analyst for Social, Mobile, Analytics and Cloud (SMAC) Cognizant
View Linkedin Profile

Read the whitepaper on mobile, social, analytics and cloud strategies Don't Get SMACked
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Join the Linkedin Group Strategic Enterprise Mobility

Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and SMAC analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Interviews with Kevin Benedict