Earlier this year, I was reading an interesting report about a case where Target, the retailer was able to predict a high school girl's pregnancy before her father did. Meeting with a Target manager while clutching some printed ads that had been delivered to his home, the customer was outraged by their product placement aimed at his young daughter. Like any service oriented company would, the store manager apologized and then followed up with a phone call to him later on, to apologize again. By this time, the man had had a talk with his daughter and the teen girl had acknowledged her pregnancy and the father apologized to the store manager for his outburst.
Logo of Target, US-based retail chain (Photo credit: Wikipedia)
Welcome to the new reality! Increasingly, more and more companies are looking at data inputs from a variety of sources and making intelligent decisions from who to target, how to target, how to price and how to service customers and more.
Target it appears clues in on sales information on items such as vitamin supplements, large quantities of lotion, and hand sanitizers, typical to many pregnant women, to make predictions about other items the consumer may need. A couple decades ago, this kind of work was mostly the domain of a few credit-rating and mailing-list management companies (ah! the hey days of database marketing). Then the new age technology companies such as Google, Facebook and Yahoo built similar capabilities to improve and influence user behavior on the internet and it was largely limited to the online world. They tracked user behavior and what you were searching for across the internet and made the right ad placements at the right moment for users to click on.
Not anymore! The abundance of data in the world of today combined with advancement in technology has made next generation analytics within the grasp of everyone and every enterprise in this world. In other words, this is the democratization of high-end analytics. Not to be leftout of the party, venture capital has embraced big data in a huge way! The buzz around Big Data has raised a lot interest for venture funds. In 2011, Thomson Reuters estimates that US venture companies invested a total of $2.47 billion into new big data, database and data processing technologies. That’s up from $1.53 billion in 201 and $1.1 billion in 2009. Total venture capital investments in 2011 were $28.43 billion and $23.26 billion in 2010. While, most investments have so far been focussed on analytics, I would like to see more action on "data sets" itself. That is where the long term competitive advantage for startups will be.
All this stuff about data and how companies are leveraging it is inherently changing the way businesses and customer, suppliers and others interact. It is changing the way we think about society! Over the last year, my interest in this area has grown exponentially and in some ways feels like 1998-1999 all over again!













