THE PROBLEM

How can we utilize customer data from many sources to drive behavior?

Tracking customer behavior, purchases, support interactions, billing,and other attributes across multiple siloed systems is challenging. Further, the enormous data sets generated by aggregating this information are extremely powerful but difficult to utilize. Our users (retailers) need a way to gather customer data from several sources and offer personalized experiences based on that data.

USER GOALS

Sales Data Correlation

  • Correlate sales data to customer types and product categories.

Customer Activity Overview

  • Quickly see customer buying activities over time.
  • Identify elite, key customers.

Behavior Trends Analysis

  • Identify user behavior trends and purchasing patterns.
  • Provide real-time personalized product recommendations.

DATA DISCOVERY

1. Look at the data source.

2. Slice data to gain insights.

DATA VISUALIZATION