Making Data Meaningful: Five Core Competencies of Enhanced Data Analytics for Channel Management

In today’s world of Big Data, the utilization of data for business intelligence is growing in importance among enterprises. Leading industry analysts report that most companies recognize the importance of their data and have pushed the use of enhanced analytics and business intelligence as a top priority in the coming year.

Channel programs, in particular, generate an abundance of data, giving companies the power to access deeper levels and wider breadths of customer and market information than ever before. There is but one caveat:

Companies must know how to analyze their data effectively, with the right tools in place to extract the most value and insight.

Revitas has established five core competencies of enhanced data analytics that will improve business intelligence for the management of channel programs:

1. Data analysis for trends identification
2. Data modeling for financial forecasting and accruals
3. Data exploration for business discovery
4. Data visualization for controls and dashboards
5. Data reporting for format and consistency

This white paper explores these core competencies and demonstrates via use cases the importance of enhanced analytics with regards to impacting channel management strategies, activities, operations, and performance.

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