Interview: Robots, Digital Transformation and Intelligent Process Automation

Robots bring to our minds images of dangerous humanoids, but business process robots look different and behave in very positive ways.  In this important conversation with three robot and automation experts, they reveal the presence of robots all around us, and their expanding roles in companies today.  Enjoy!

Read the report - The Robot and I: How New Digital Technologies Are Making Smart People and Businesses Smarter. ************************************************************************
Kevin Benedict
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

***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.

Intelligent Mobile Commerce Apps, Digital Transformation, Robots and Speed

Brains behind Mobile Applications
In 2002, I was developing mobile applications for blue collar workers. These apps were not intelligent.  They were basically forms on handheld computers or PDAs.  Yes, they could be made to understand, based on data inputs, which form(s) should be presented next, but that was about as smart as they got.  In those days, mobile apps were mostly used to query a simple database and for field data collection and sync.

Today, mobile apps on smartphones and tablets are the UXs (user interfaces) for very complex and intelligent systems, many of which today depend on software robots for automation and speed.  On a side note, yesterday, while I was attending a M6 Mobility Xchange conference, Intel said us humans are becoming part of the computer!

Mobile users are impatient.  They will wait less than 4 seconds on average for a mobile app to load, before closing it and moving on. You would hate to have developed the world's best designed mobile application, but then have mobile consumers abandon it, because some transaction engine, integrated product catalog or mobile security system made the process too slow.

Let me provide a scenario - a person uses a retailer's mobile application that is associated with a loyalty program.  The millisecond they load the application, software robots on the backend identify the device, look at all the accumulated data about the user's transaction histories, demographics, preferences, styles, etc., analyzes it, and then create a personalized experience which is uploaded to the mobile application.  No human is involved, but the experience is fast, beautiful and personal.  The products and discounts are optimized to appeal to my preferences.  It is an automated process that uses software robots to analyze and act in milliseconds.  This process is far more sophisticated and complex than the processes I used in 2002.

In 2002, to speed up a process we looked at just a few areas: the selected mobile device, wireless networks, device memory and the size of the database queries.  Today, entire business processes are being impacted and companies are being forced to rethink operations.  Legacy IT systems are being asked to perform at speeds beyond their capabilities.  Mobile solutions today, are more about the backend servers, processes, robots and strategies, than the actual mobile app.

The pressure to digitally transform and automate IT environments is growing.  Mobile applications, at first just clever add-ons to line of business applications, are now driving the train of digital transformation and pointing the way to the future for the entire enterprise.  The cost of a mobile application, may ultimately involve rethinking your entire IT environment.

As consumers increasingly shop online and mobile, competition will force businesses to redesign not only their IT environments, but their entire approach to marketing, sales, customer service and R&D as well.

Finally a big favor to ask - Will you take my 3-minute survey on mobile behaviors?  It is part of an in-depth mobile consumer behaviors and the retail experience report I am working on.

Survey - http://survey.constantcontact.com/survey/a07eb005ar4i9lm8rvk/start
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Kevin Benedict
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

***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.

The Latest Trends in Mobile Commerce that You Can't Miss

In a recent survey, conducted by Cognizant's Center for the Future of Work and Cognizant's retail practice, we found that of 5,000 people who make online purchases at least a few times each year, 68.1% (3,918) make online purchases at least once a month.  Out of this group, here are the age breakdowns:
  • 71.6% of 18-24 year olds make online purchases at least once a month, and 77.3% of these report using mobile devices at least as much as desktop/laptops for online purchases.
  • 79.8% of 25-34 year olds make online purchases at least once a month, and 82.2% of these report using mobile devices at least as much as desktop/laptops for online purchases.
  • 74.1% of 35-44 year olds make online purchases at least once a month, and 79.9% of these report using mobile devices at least as much as desktop/laptops for online purchases.
  • 69.7% of 45-54 year olds make online purchases at least once a month, and 75.7% of these report using mobile devices at least as much as desktop/laptops for online purchases.
  • 61.6% of 55-64 year olds make online purchases at least once a month, and 68.2% of these report using mobile devices at least as much as desktop/laptops for online purchases.
  • 55.2% of 65+ year olds make online purchases at least once a month, and 61.8% of these report using mobile devices at least as much as desktop/laptops for online purchases.
These are interesting numbers, but not necessarily unexpected.  The biggest discoveries in the data are found in the behavioral differences of mobile consumers.  E-Commerce or website based online commerce has been around for over 15 years, and most retail companies have been interacting with their markets via websites long enough to have a solid understanding of online behaviors, but mobile commerce is still new and dynamic enough that uncertainties remain.

Here are a few interesting findings I discovered while researching for my latest report on Mobile Consumer Behaviors and the Retail Experience.
  • 24% of 5,000 survey participants, report they research and/or compare prices using a mobile device while shopping in-store most of the time to every time - 44% rarely to never do.
  • Survey participants that use mobile devices at least equal to desktops/laptops, shop online once or more a week at a rate 82% higher than desktop/laptop users.
  • Mobile shoppers conduct research late at night at a rate 46.1% higher than desktop/laptop online shoppers.  That makes sense, desktops are kind of heavy to take with you to bed.
After my first couple of passes through this new data, it is obvious there are significant behavioral differences between mobile shoppers, desktop/laptop shoppers and offline shoppers.  These behavioral differences, given the rapid growth of mobile commerce, must be understood and integrated into sales and marketing systems and strategies in order to maximize success.

If your company is involved in retail and mobile commerce and would like to meet and review all of my latest findings, please contact me here.

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Kevin Benedict
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

***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.

Mobile Apps - Personalizing While Respecting Personal Privacy

All the data I have been reading this week suggest mobile users want and value a personalized experience on their mobile apps or mobile website, but on the other hand they don't like giving up their personal data.  That means it is imperative to find the right balance so a mutually satisfying relationship can be fostered.  As we all know, the more data you have on an individual, the easier it is to configure a personalized experience.

In a fresh Cognizant survey this week involving 5,000 participants, 68% reported they are willing to provide information on their gender, 55% their age, and 65% their brand and product preferences, but the majority are not in favor of volunteering much else.  That is an interesting answer since 80% of the same survey participants belong to one or more loyalty and rewards programs, and the biggest reasons according to 74% are the points or rewards for each dollar spent.  The second biggest motivation was automatic discounts for loyalty program members.  That tells us there is a willingness to give up some level of data privacy if the rewards and discounts are valuable enough.

Mobile retailers need to find out how much personal data is worth to their customer base.  They need to give up enough in points, rewards and discounts to motivate the sharing of more in depth personal data.  Collecting data on social media is not the answer.  In my research, consumers don't like the idea of any kind of data collection for marketing purposes from their social media activities.  It makes them mad.  Mad is not a feeling a consumer products company wants to elicit from their customers.

It seems to me that a bold, transparent process would be best.  The online and mobile retailer should place a value on data.  For example:
  • Answer 10 specific questions about yourself and your preferences, and I will give you an automatic 10% off your purchases.
  • Answer 20 specific questions about yourself and your preferences, and I will give you an automatic 20% off your purchases.
  • Answer 30 specific questions about yourself and your preferences, and I will give you an automatic 30% off your purchases.
Whatever the real value, we all agree that there is a value to data.  Finding the real value, and transparently using that information to provide a personalized user experience, benefits all parties.

I think IoT (Internet of Things) sensors may also play a role in data collection and personalization. Rather than make people uncomfortable by tracking more personal data, sensors can track product data and that can be used to provide a personalized experience for the owner of the product.  Here is an example - a man buys a bass fishing boat and a service agreement.  Sensors (as defined in the service agreement) collects data on the boat engine.  Information such as:
  • Locations
  • Activities
  • Usage profiles
  • Hours of operations
  • Data and time
  • etc.
The boat engine information is added to the customer's profile to provide a "boater's profile" that can be used to personalize online and mobile experiences.

Follow me on Twitter @krbenedict.
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Kevin Benedict
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

***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.

Speed, Personalization, Analytics and Enterprise Information Systems

Ninety percent of 18-34 years old strongly value a personalized mobile and web experience, and eighty-two percent of of those over 45 years old value personalization.  What kind of personalization?  Forty-seven percent of shoppers prefer location or time-based personalization in mobile applications or websites.  In other words, don't show me things that are not available for me to purchase in Boise at this time, or that I don't like!  Given this survey data we all know what needs to be done and are taking the necessary steps to be able to offer personalization, right?  Wrong it seems.  Many companies are not using available data to understand their customers better so they can provide them with contextually relevant and personalized mobile application experiences.

My colleague, Benjamin Pring, at Cognizant's Center for the Future of Work recently published a research paper titled Putting the Experience in Digital Customer Experience.  In his research he found fewer than 20% of respondents use analytics generated by application programming interface (API) traffic to understand their customers’ online and offline purchase journeys.  Just 41% of respondents in the retail industry say they will be effective at analyzing customer metadata by 2017.  A mere 42% of respondents say they have adequate tools and skills to analyze digitally generated data.  Only one-third of respondents have made adjustments to their business model to pursue strategies driven by digital information about their customers.

An additional challenge, is that personalizing mobile user experiences takes speed, speed many do not have available in their current IT environments.  As organizations begin developing mobile strategies and implementing mobile apps, they quickly realize simply developing and deploying basic mobile apps, infrastructure and frameworks is not enough.  They must push further and implement a real-time enterprise to remain competitive.  This real-time requirement is at the root of many problems.  Eighty-four percent of survey participants reported they have IT systems too slow or incapable of supporting real-time mobility, which negatively impacts mobile app performance and the user’s experience.

We have some more work to do.


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Kevin Benedict
Writer, Speaker, Senior Analyst
Digital Transformation, EBA, Center for the Future of Work Cognizant
View my profile on LinkedIn
Learn about mobile strategies at MobileEnterpriseStrategies.com
Follow me on Twitter @krbenedict
Subscribe to Kevin'sYouTube Channel
Join the Linkedin Group Strategic Enterprise Mobility
Join the Google+ Community Mobile Enterprise Strategies

***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.

Interviews with Kevin Benedict