Big Data Architectures for Customer Analytics

September 21st, 2015

Prerequisite: None

Carey Moretti

President, The Data Warehousing Institute (TDWI) San Diego Chapter

Principal Consultant, Big Data Intelligence Practice

TRACE

One of the most common questions I’m asked is:When does it make sense to build a big data platform to support customer analytics? That is a big question. The short answer is that it is driven by the level of complexity of both the data itself and the analytics required to move from information to customer insight to action.

In this session, you will learn:

  • How to define and view customer analytics and how that influences the approach to big data • How big data extends your capabilities to learn more about your customer
  • How big data fits in your existing technology landscape—we will examine big data architectures of a few companies and how they have leveraged analytics to achieve big success
  • How to get started on your big data journey for customer analytics