Marketers looking to expand their customer base and achieve retention continually contend with cognitive era challenges of rising data influxes from disparate sources. To cut to the chase, what they really need is a tool that predictively and prescriptively offers the means for recommending next-
Inaccurate perceptions of predictive analytics are common in the business world. In reality, predictive analytics is straightforward to understand, can leverage existing skillsets in business and IT organizations, and can deliver value in most industries and lines of business. Getting started with
Gleaning analytic insight from customers who interact with you across multiple channels is always challenging—however, behavioral analysis can help you anticipate where your customers need to be and enable you to be wherever they are.
Thod Nguyen, chief technology officer (CTO) at eHarmony and this week’s IBM Big Data & Analytics Hero, shares that “the faster we can actually have more insight to the data, the more we can actually feed that insight into our compatibility matching system to further improving our match quality