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The Internet of Things, Code Halos and Enterprise Strategies | Part 1
Is data is the new competitive arena for businesses?
By: Kevin Benedict
Jul. 28, 2014 09:00 AM
Tactics without strategy are dangerous. ~ Robert Leonhard
If you believe as the authors of the new book Code Halos do, that data is the new competitive arena for businesses, then you will want to develop a strategy in order to compete. What might that strategy look like? It may be as simple as, "We believe the better we understand the needs and preferences of our individual prospects and customers, the more convenient and personalized we can make their experiences which leads to happier and more loyal customers that promote our business and help us grow."
Streaming music stations provide us with a useful example of this kind of strategy. They enable me to personalize my music stations so I conveniently hear what I want, and as a result I listen to it more often. Amazon Prime knows my family intimately. They use this knowledge to enhance our shopping experience daily. Netflix knows our history and preferences and enhances our experience as a result.
Do you have a Code Halos strategy? Does your competition? Do the new digital start-ups in your industry?
Let's assume for today - you are convinced there is a need for a Code Halos strategy. Now let's consider tactics.
These are just a few discussion starters for your next internal strategy session. By the way, we (Cognizant's Center for the Future of Work) lead these workshops all the time. Contact me if your organization would benefit from this discussion.
As identified earlier, one of the first questions to ask yourself is, "What data is useful?" What data, if you had it, would provide insight that would enable you to provide a better and more personalized user experience? If knowing your prospect is a male or female enables you to provide a better user experience, then how can you collect that data in an open, transparent and appropriate manner? Sometimes insight can be derived, while other times it just needs to be asked. If customer X shops only for fashionable clothes popular with young ladies, then there is a pretty good chance the buyer fits that description.
Did you know that mobile phone usage patterns differ between males and females? With a high degree of accuracy usage patterns can identify the sex of the user. Also, having preferences for particular kinds of music and artists closely correlates with particular political leanings. These are examples of derived insight.
Different data collection tactics provide different kinds of insights. Insights can be derived from historic data, or real-time GPS tracking for example. One is historic, the other is NOW! LBS (Location based services) and geo-fenced apps can trigger real-time product and services notifications, alerts, advertisements, discounts, etc., relevant to your immediate location.
Historic and real-time analysis may involve different systems, or the data can be combined in real-time to provide even greater business insights. For example, historic data might provide insight into a "pattern-of-life" that reflects a white collar business commuter, getting off of work at 5 PM every day, picking up the kids from daycare, collecting their dry cleaning, grocery shopping, filling up the Tahoe with gas every 10 days, and getting take-out Chinese food five days a week. Add in real-time LBS data and you can start looking for ways to add convenience and enhance this person's life through personalized products and services at just the right time and place.
Once you have identified the data you need to collect in order to derive business meaning, the next thing to consider is how that data can be used to personalize your user's experience. What does the collected data trigger that enhances the user's experience?
Stay tuned for Part 2.
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