Big Data: We're Not There Yet - Part II

In an attempt to show one of our customers a better way to connect a legacy Postgres system to a large data set, a team of AE experts turned the discussion into an internal competition. Contenders Phoenix and Cassandra already lost the challenge, as you can read in Part I.  In Part II we'll explore whether Drill or Impala can rise to the occasion.

Ingesting data with Spark using a custom Hadoop FileInputFormat

Together with a large organization, we’re building a platform that presents company data to its data scientists so they can use it to develop innovative applications.

Which Customers Will Be Leaving Me? (And How To Do Something About It).

This is the last post in a series of three about the added value of Analytics in Marketing. The first post, by my colleague Bram Vanschoenwinkel, gave an overview of a number of Analytics techniques tailored to a better understanding of your customers and their specific needs. Jessica Ruelens discussed Customer Segmentation & Profiling and a specific case for a company that sells professional training seminars in a second post. I will conclude this series with a discussion about Churn Prediction and a specific case of a bank.

Who is my customer and why should I care?

Have you ever wondered how your customers are behaving on a grand scale? Do you know which customers are most valuable to you and which customers represent an undiscovered opportunity? You might have a general idea about the behaviour of your customers - having observed their behaviour in the past - but are you sure your observations are supported by the facts or the data?

Customer Insight at the Heart of Your Company

In my last blog post I talked about the strategic and competitive advantages that can be delivered by Business Analytics but that a lot of companies are still struggling to apply Analytics and actually gain these advantages. This post is the first in a series of three where the added value of Analytics in Marketing will be discussed.