Nielsen's Business Intelligence Revamp with Alteryx and AWS
Technology Category
- Networks & Connectivity - RFID
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
- Telecommunications
Applicable Functions
- Quality Assurance
Use Cases
- Time Sensitive Networking
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Nielsen is a pioneer in market research and a global leader in audience measurement, data, and analytics. The company is built on data insights and uses patented encoding technology across radio and television to enhance audience measurement. Nielsen's encoding verification solutions (EVS) department helps preserve, maintain, and document the accuracy of that encoding technology. One team in EVS focuses specifically on radio transmission across the United States. This team relies on next-day BI reports that track the encoding process and ensures that radio stations are broadcasting and encoding correctly across all available markets.
The Challenge
Nielsen, a global leader in audience measurement, data, and analytics, faced a significant challenge in 2017. Their Business Intelligence (BI) process was disorganized, with many small, independent groups rather than clearly defined silos. The situation was further complicated by an aging BI solution that had been running silently in the background for nearly a decade. The subscription for this tool had ended years ago, and it was only a matter of time before it would shut off without warning. This system was unsustainable, and a solution was needed. The urgency of the situation was heightened when Nielsen's encoding verification solutions (EVS) department, which relies on next-day BI reports to track the encoding process and ensure correct broadcasting and encoding across all available markets, discovered that their reporting process was built on the very BI tool that was about to be turned off. They had less than 90 days to find a solution.
The Solution
Nielsen had already chosen AWS as its cloud infrastructure for its scalability and powerful computing engine. Wayne McClure, solution architect at Nielsen, saw an opportunity to find a self-service analytics tool that would integrate well with AWS while empowering business users across the organization to handle analytics. They chose Alteryx, a tool that would empower not only seasoned analysts but also business users to create a more inclusive use of their data. The team could house data in AWS, analyze the data in Designer, and schedule and automate workflows with Server, which Nielsen deployed on AWS. Users could also easily pop the data into Tableau for visualization. Utilizing Alteryx on the AWS platform, Wayne’s team was able to go into a rapid-fire testing process to get an end output. The team removed several redundant systems and cleaned up SQL queries. Using Alteryx, the team ended up with daily completed reports in a 4-minute process instead of 4 hours.
Operational Impact
Quantitative Benefit
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