Precisely > Case Studies > A Single Analytics Solution

A Single Analytics Solution

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Technology Category
  • Application Infrastructure & Middleware - Database Management & Storage
Applicable Industries
  • Telecommunications
Applicable Functions
  • Business Operation
  • Software Design & Engineering Services
The Challenge
  • 20 different regions with 30 different accounting and finance practices created inconsistencies, inaccuracies and data risk
  • Strict SLAs around billing revenue required fast processing of more than a billion records monthly
  • Compliance standards like ASC 606 demanded large-scale blending of data sets for reporting and revenue reallocation
  • Manual legacy processes for a variety of payments (e.g. franchise, regulatory, revenue sharing, etc.) resulted in rampant data inaccuracies
  • Ongoing regulatory concerns like ensuring customer service packages were accurately tracked, reported and compliant
  • Fraud prevention and establishing processes to identify previous bad debt customers to recoup money owed and prevent future fraud
The Customer

Comcast Corporation

About The Customer

Comcast Corporation is the second largest broadcasting and cable television company in the world, and the largest U.S. home internet and cable television provider. In the U.S., this media giant provides residential and commercial services to more than 20 million customers across 40 states.

The Solution

After exploring both internal and external options, Comcast chose Data360 Analyze as an enterprise solution for data preparation and analysis for its scalability, flexibility, and ability to quickly handle, control, and accurately present revenue information.

Data360 Analyze was initially deployed within the accounting and finance areas to automate data flows and streamline revenue assurance in the customer billing revenue interface. Because of the solution’s ease of use and effectiveness, additional use cases were quickly identified within finance and beyond.

Operational Impact
  • [Data Management - Data Analysis]

    Mitigated risk and ensured compliance with regulatory standards and requirements with fast and agile data preparation and analysis

  • [Efficiency Improvement - Asset Security]
    • Automated dozens of critical business processes and data flow to increase efficiency, assure data quality and ensure data integrity.
    • Created a process to identify potential fraudulent behavior for bad debt recovery and fraud prevention



  • [Efficiency Improvement - Customer Service]

    • Improved customer experience, trust and confidence

Quantitative Benefit
  • Established a standardized enterprise billing revenue process that accurately handles more than a billion records in 6 hours

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