Customer Intelligence (CI) professionals invest in data-mining, predictive analytics and modeling tools and technologies to make sense of the deluge of data. In the past, they've had to adapt horizontally-focused analytics and modeling solutions to a customer intelligence and marketing context. Today, however, they can consider a gamut of customer analytics and marketing-focused analytics providers that have not only analytics production expertise but also domain and role-focused expertise.
We just published our first evaluation focusing on the customer analytics category here: The Forrester Wave™: Customer Analytics Solutions Q4 2012 . After screening more than 20 providers for analytics products specifically catering to customer analytics applications, we identified and scored products from six of the most significant providers: Angoss Software, FICO, IBM, KXEN, Pitney Bowes, and SAS. Our evaluation approach consisted of a 70-criteria evaluation; reference calls and online surveys of 60 companies; executive briefings; and product demonstrations. The core criteria included key dimensions such as core functionality (data management, modeling, usability); analytics production; analytics consumption; analytics activation and customer analytics applications. The evaluation also included the strength of the current product and corporate strategies in the customer analytics market as well as the future vision for this category.
We found that four competencies define the current customer analytics market:
Every year the Center For Digital Strategies at Tuck chooses a technology topic to "provide MBA candidates and the Tuck and Darthmouth communities with insights into how changes in technology affect individuals, impact enterprises and reshape industries." This academic year the topic is "Big Data: The Information Explosion That Will Reshape Our World". I had the honor and privilege to kick off the series about big data at the Tuck School of Business at Dartmouth. I am thrilled that our future business leaders are considering how big data can help companies, communities, and government make smarter decisions and provide better customer experiences. The combination of big data and predictive analytics is already changing the world. Below is the edited video of my talk on big data predictive analytics at Tuck in Hanover, NH.