My recent WordPress blog on convergence forces – in this case between predictive analytics, big data, social and location-based services – has generated a lot of interest in the Twitterverse and blogosphere. I am sharing some of the highlights here as well as a link to the complete blog post regarding this timely issue.
One of the big news stories in strategy, innovation and tech circles is the growth and convergence of four key trends from the past two years. These trends – social networking, mobile computing, cloud applications and big data – are not new. In fact our firm covered these extensively in 2012 and continue to advise clients on how to leverage these trends strategically, both individually and collectively. What is occurring now as we move into 2014 is the cumulative effect of these trends into force directions of their own. These so-called convergence forces – or what Gartner Group calls nexus of forces (NOF) – have a tendency to amplify and extend innovation in new and more powerful directions, much like strong winds, lunar position, and seismic disturbances can affect the behavior of ocean tides.
An area where we are seeing this play out is in the business to consumer pricing strategies of in-store retail. Location based services – either by way of opt-in applications or mobile browsing cookies – allow known customers to log-in to store applications and view special VIP promotions, to quickly locate where items may be found in the store, and to recommend products which based on sentiment analysis and buying pattern might be of interest to the customer. Location based predictive analytics can also help retailers determine the best location in a particular store to position items based on customer traffic (using big data to monitor your path via GPS as you actually browse the store or predict where you will go based on history and profile) as well as to dynamically create promotions based on your position and buying status.
Creating special offers and promotions based on an existing relationship is not new in the business to business world. Suppliers and customers alike receive special treatment and extended services and bundle pricing based on volume of sales, excellent quality, and other relationship management KPIs. In fact in the world of wealth management and retail banking, customers may find that with particularly large financial institutions the first question they are asked after pleasantries may be “what is your current relationship with us?” While this is hardly endearing to the uninformed, it does grant status to those who may, have for example, several accounts, a loan, a trust and other financial products all aggregated under the same customer portfolio with a particular financial institution.
Convergence forces already have the attention of retail strategists, ethics experts, media tech publications and even sparked political debate. Earlier this year, U.S. Senator Charles Schumer (D-NY) suggested that analytics companies engaging in such practices without customer knowledge would be “intrusive and unsettling.” prompting the Senator to issue a statement with eight of the key location analytics companies in this space to a new code of conduct which would discourage such practices. Other industry segments have also begun to weigh in on the legitimate and ethical use of predictive analytics including higher education, which can use the technology as a early warning system for right-tracking student performance through degree programs.
Convergence forces in this area have already begun and the debate is reaching the mainstream. What are your thoughts?