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Best Practices for High Tech Channel Analytics

Channel organizations have been slow to adopt the use of business intelligence and analytics tools to drive decision making about channel investments. The high-tech industry lags behind other industries with significant channels such as packaged goods or consumer products with regard to best practices in analytics. In fact, many technology companies still use Excel spreadsheets as their primary reporting tool. In these industries, customer behaviors are tracked and analyzed throughout the buying cycle and little is left to chance.

Effective execution of channel programs requires robust capabilities in channel analytics to measure partner and program performance. Typically, companies define their reporting and analytics requirements based upon their business model, market strategy and essential criteria determined by their executive team. There is not a “one size fits all” for this type of analysis but there are certain best practices companies should adhere to. Best practice requires that your channel analytics platform be capable of:
  • Providing real-time, actionable and contextual data analysis
  • Easily creating statements, dashboards, intelligence and modeling
  • Delivering compelling visualizations and tools to help manage channel data

Delivering compelling visualizations and tools to help manage channel data

Channel analytics provide insights into partner and program performance and inform management regarding channel strategies that optimize channel investments. Channel analytics include the following elements:
Partner Performance

Partner Performance

Partner value scoring identifies high value partners & their future potential

Incentive Performance

Incentive Performance

Identify individual incentives and partners with high incentive ROI

Market Performance

Market Performance

Track market goals & trends to optimize partner & incentive performance

Technology channel organizations need to take stock of the current state of analytics capabilities and define their goals and objectives in terms of future requirements. What are the core analytics capabilities required to inform management and enable channel leaders and managers to make data-driven channel management decisions? This eBook explores the essential objectives needed for developing a sound channel analytics practice.
For a more in depth look at how channel analytics work in conjunction with your channel data management strategy, download the eBook "Improve Channel Sales Performance Through Data-Driven Decision Making."