Skip to content

Practical Insights

Operationalizing Customer Analytics in Financial Services

In financial services, customer analytics are a big deal and getting bigger. Customers are commonly the focal domain for new analytics development. One of the analytics leaders interviewed for this research serves the entire enterprise — while reporting to the chief marketing officer, who represents…

Data and Analytics Trends Impacting Marketing, PART 1: Channels and Personalization

Analytics advances are accelerating at an unprecedented pace, and perhaps nowhere more quickly than in marketing. Advances in computing hardware, software applications and delivery channels enable marketers to deliver timely and relevant messages to customers in ways that were unimaginable five or 10 years ago.…

Improving Analytics Measurement

One of the continual challenges for analytics leaders is measuring the work of their analytics groups and communicating the results to business leaders. Sound measurement and transparency form the foundation for strong working relationships, adequate funding of analytics, and trust in the analytics organization. The…

Everything You Wanted To Know About Containers But Were Afraid To Ask

By Jesse Anderson Excerpt: Containers are repositories that hold everything required to run a microservice, software process, application, or data analytics program. Each container includes everything required to run the program: executables, binary code, libraries, and configuration files. This could include Python code or Java…

Building an Analytics Team for Your Organization

Analytics can no longer be considered an optional capability for businesses that strive to be competitive in today’s environment. In working with organizations across a number of industries, one of the critical components of any successful program or initiative is driven by finding the right…

What Skills Does Your Team Have? How Do You Assess These Skills?

All too often resource allocation against prioritized business problems is either “next person up” or “Jane should work on this because she delivered well on her last one.” And when selecting technology, buyers may fall into the trap of looking entirely at technology features rather…