This very good Article by Anand S. Rao discusses the growing use of predictive analytics in the Insurance Industry. I believe Mr. Rao is right on the mark – although I continue to emphasize the expanding role of Text Analytics in the analytic value equation. In this article, he identifies some of the drivers of predictive analytics adoption.
Understanding the customer in the world before Web 2.0 was a relatively straightforward task – but the emergence of Web 2.0 has brought an explosion of social channels including blogs, wikis, forums, social networks and an array of social media. Today, customers have a loud and clear voice where they openly share ideas, perceptions, and problems about products and companies. They create trusted communities and powerful, influential constituencies. The voice of the customer (VOC) is therefore expressed in different forms through different channels. These channels are insight rich, with a wealth of untapped customer intelligence. Traditional technologies are unable to access or decipher the unstructured content upon which today’s customer conversations and insights are built.
In this Recent Article, Collective Intellect CEO Don Springer talks about social media and text analytics. Mr. Springer provides some industry research:
- 127 million people, or 57.5% of Internet users, visited a social networking site at least once a month in 2010. Not only is the number of users growing quickly, but also the audience demographics continue to widen.
- The growth of unstructured data is expected to grow at a compound annual growth rate of 62% through 2012.
After defeating the two biggest Jeopardy champions of all time, people are buzzing about IBM Watson. Reactions range from excitement over the possibility it represents, to fear over the potential impact on society. Count me among those who believe that this technology will have a positive impact on business, Government and humankind. With every new game changing innovation, there is always fear over the potential impact on humanity. However, a machine will never have wisdom. It will never have the ability to invent, have empathy, or match the knowledge and ability to reason of a smart, experienced human being. But this form of advanced analytics will help us perform better.
In a recent Blog Post titled Where is Business Analytics Going? I describe the compelling reasons for the growing use of advanced analytics – and the challenges that organizations face in realizing value from their efforts. The Retail Industry may be the poster child for business analytics, as they face some very compelling reasons to expand their analytic footprint. Ventana Research believes that the retail industry is going through a transformation, as volumes and sources of data continue to expand. They state that “Retailers are just starting to realize that understanding and influencing customer conversations on the Internet in social media channels is a necessity and that it requires a new type of analytics that can process text and phrases that reveal consumer sentiment and opinions of their brands”.
Business Analytics will continue to gain traction in every industry, and several key factors make this a foregone conclusion:
- The expanding universe of data and the opportunity and risk that it represents
- The growth of social channels
- The growth in mobile interaction and resulting need for analytics
- The critical need for customer intimacy
- The growing need for differentiation through innovation
- The rapid escalation of complexity that surrounds business today
- An increasing focus on value creation, growth and revenue generation
- The critical need for smarter decision making
- A continued increase in computing power that makes real time analytics viable
- The continued delivery of new and improved advanced analytic capabilities
- The movement to make advanced analytics software business user friendly
After some very bad and well-publicized business decisions drove a subprime mortgage meltdown and the near collapse of the auto industry, many would agree that methods for enhancing decision making are greatly needed. Findings in a recent MIT Sloan special report support this notion. Senior executives want their businesses run by data-driven decisions. They want to understand optimal solutions and take action quickly; but as the authors point out, this is no small task. They suggest that in order for insight to drive action, the insight must be closely linked to business strategy, easy for end users to understand, and embedded into organizational processes.