Predictive Analytics Quota Setting

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Banking & Capital Markets, Business Services, Consumer Goods & Retail, Consumer Products, Energy, Energy & Resources, Financial Services & Insurance, Government & Education, Healthcare & Pharmaceuticals, Hospitality, Insurance, Life Sciences & Healthcare, Manufacturing, Media & Communications, Public Sector & Education, Real Estate & Construction, Retail, Technology, Technology & Software, Telecom, Travel & Entertainment, Travel & Hospitality


America, Asia Pacific, Global

Deloitte’s Predictive Analytics Quota Setting Methodology focuses on three key pillars to improve accuracy, equitability, attainability, and timely release of quotas.

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The science and art of quota setting

Traditional quota setting methods and processes struggle to achieve accurate, equitable, and attainable quotas in a timely fashion.

Solution features

  • Deloitte’s Predictive Quota Engine: View time series, pipeline, and white space models
  • Anaplan’s Quota Modeling Solution: Facilitates standardized process, faster E2E process, improved data, and quota accuracy
  • Sales Intelligence: Iterative readjustments using managerial insight, predictive analytics, and improved data quality
Predictive Analytics Quota Setting - Pipeline Analysis
Predictive Analytics Quota Setting-Market Potential Analysis
Predictive Analytics Quota Setting - Historical Analysis