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Graydon Delivers Networked Analytics
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
- Predictive Quality Analytics
- Predictive Replenishment
Services
- Data Science Services
- System Integration
The Challenge
Graydon, an international business information provider, was facing challenges in making use of its vast data every day. Each team within the company had their own reporting requirements and sources of data to consider. The Marketing team wanted to get more insight into how campaigns delivered revenue and financial results, but this required data from the Finance team. The existing visualization tool in place did not support the types of data that would be required for this extended project. It would also be difficult to integrate and make data available for everyone across the business to use.
About The Customer
Graydon is an international business information provider that specializes in financial information, credit reporting, marketing information, and credit risk management. The company was formed as a merger between the two leading credit information services providers in Belgium and the Netherlands, and has since expanded internationally. Graydon has been a trusted provider of credit, marketing, risk and debt collection insights for more than 125 years. The company's international credit report and business information network encompasses more than 100 million entities in over 190 countries worldwide, providing one of the most comprehensive networks in the industry.
The Solution
Graydon decided to implement a new analytics and business intelligence platform. The new implementation would have to deliver benefits across multiple levels for the business management team, for each department and for the individuals that worked within those departments. After going through a selection process, Graydon chose Birst as the right platform to connect the company’s data sources and run its analytics requirements. Birst's technology fit Graydon's need to link data together in smarter ways, while its Cloud BI service could also be used for self-service. The implementation process started with the strategy map, which was translated to a dashboard design that would demonstrate where each team involved would derive value from the implementations. Each team was then asked to deliver additional Key Performance Indicators that were missing until the design was complete and all the requirements could be met.
Operational Impact
Quantitative Benefit
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