Tableau > Case Studies > PepsiCo cuts analysis time by up to 90% with Tableau + Trifacta

PepsiCo cuts analysis time by up to 90% with Tableau + Trifacta

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Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Tableau
  • Trifacta
  • Hortonworks Hadoop
Tech Stack
  • Tableau Server
  • Tableau Desktop
  • Microsoft Access
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Food & Beverage
  • Retail
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Demand Planning & Forecasting
  • Predictive Replenishment
  • Supply Chain Visibility
Services
  • Data Science Services
  • System Integration
About The Customer
PepsiCo is a multinational food, snack, and beverage corporation headquartered in Harrison, New York, in the hamlet of Purchase. PepsiCo's product mix as of 2015 based on net revenue consists of 53 percent foods, and 47 percent beverages. On a worldwide basis, the company's current products lines include several hundred brands that in 2009 were estimated to have generated approximately $108 billion in cumulative annual retail sales. The company operates in more than 200 countries and territories around the world. PepsiCo’s Collaborative Planning, Forecasting, and Replenishment (CPFR) team provides data and analyses that enable effective retail sales management. The team also collaborates with large retailers to supply the right quantities of product for their warehouses and stores.
The Challenge
PepsiCo’s Collaborative Planning, Forecasting, and Replenishment (CPFR) team faced the challenge of reconciling disparate data from various sources, including warehouse inventory, store inventory, and point-of-sale inventory. Each customer had their own data standards, which didn’t correspond with each other or PepsiCo’s system. This made data wrangling a challenge and reports could take months to generate. The team primarily relied on Excel for analysis, creating large quantities of messy data. And the team had no efficient way to spot errors, leading to potentially costly outcomes. For example, a missing product from a report could result in inaccurate forecasts and lost revenue. The CPFR team needed a way to wrangle large quantities of disparate data. At the same time, the team needed a visual analysis tool that could help them make the most of PepsiCo data.
The Solution
To bring coherence to the data, PepsiCo turned to Tableau partner, Trifacta. For greater efficiency and scale, PepsiCo implemented Hortonworks Hadoop as a landing and staging environment for this variety of data. Now reports run directly on Hadoop, without involving multiple steps with Access and PepsiCo servers. This process allows analysts to directly manipulate data using Trifacta. Tableau provides PepsiCo with the finishing step: powerful analytics and visualizations, helping the business make sense of volumes of data. PepsiCo analysts share relevant Tableau workbooks with management over Tableau Server. The combined use of Tableau and Trifacta helps the CPFR team drive the business forward, increasing visibility into customer orders. Trifacta’s visual profiling capabilities and Tableau’s advanced visual analytics allow the team to easily identify gaps and get ahead of larger issues.
Operational Impact
  • Trifacta integrates natively with Tableau Data Extracts (TDE), allowing PepsiCo analysts to seamlessly transition between the two technologies.
  • PepsiCo brings Tableau data extracts into Tableau Desktop, allowing them to maintain performance on big data.
  • The combination of Trifacta’s data wrangling power and Tableau’s analytical depth allows PepsiCo to streamline its process.
  • This has dramatically reduced time spent on data preparation and increased the overall quality of the data.
  • Normalized data in Trifacta helps catch errors and flaws in the data. And with Tableau, PepsiCo can easily spot outliers and take action.
Quantitative Benefit
  • Reduced end-to-end run time of PepsiCo’s analysis by as much as 70%
  • Reduced report production time by as much as 90%

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