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AnswerRocket > Case Studies > Actionable Insights for Category Growth

Actionable Insights for Category Growth

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Customer Company Size
Large Corporate
Region
  • America
Country
  • United States
Product
  • AnswerRocket
Tech Stack
  • Data Visualization
  • Advanced Analytics
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Revenue Growth
Technology Category
  • Application Infrastructure & Middleware - Data Visualization
Applicable Industries
  • Food & Beverage
Applicable Functions
  • Sales & Marketing
  • Business Operation
Use Cases
  • Demand Planning & Forecasting
  • Inventory Management
Services
  • Data Science Services
About The Customer
National Beverage is one of the largest soft drink companies in the US. It is an innovative, healthier refreshment company with a distinctive portfolio of sparkling waters, juices, and carbonated soft drinks. The company was looking for a solution to generate actionable insights from Nielsen and SPINS data to understand their business performance better and solve complex problems like SKU rationalization and growth contribution analysis.
The Challenge
National Beverage, one of the largest soft drink companies in the US, was facing a challenge in generating actionable insights from Nielsen and SPINS data. The business intelligence team wanted to have a better view into the data that could be easily understood by non-technical people to get a better grasp on business performance. They also needed advanced analytics capabilities to solve complex problems like SKU rationalization and growth contribution analysis.
The Solution
National Beverage adopted AnswerRocket to enable the BI team to consolidate data and generate easy-to-understand visualizations and insights for business people. With AnswerRocket, anyone can drill down into what’s driving category and product performance more efficiently and effectively than ever before. This solution empowered the sales team with fast, data-driven insights, allowing them to influence retailers on shelf space, product distribution, and other factors that help drive growth.
Operational Impact
  • The BI team was able to consolidate data and generate easy-to-understand visualizations and insights.
  • The sales team was empowered with fast, data-driven insights, allowing them to influence retailers on shelf space, product distribution, and other factors.
  • Teams were able to focus on impactful sales tactics instead of 'analysis paralysis.'

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