The Telco company sought to enable executive management to make informed business decisions based on trust and confidence in information reported to them. They aimed to sort customer contracts into a complex, multi-level customer segmentation hierarchy in order to achieve a better understanding of where company revenue originated and identify areas for improvement.
Barriers to successful customer contract segmentation included:
The result was an incomplete, inaccurate, inconsistent, and slow reporting function that left executive management unable to make informed business decisions as they had little trust or confidence in the information reported to them.
We enabled our customer to successfully categorize and segment their data, extracting useful information from it about contracts and associated revenues. Previously, the company was unable to draw connections between revenue earned and customer contract categories (such as public services, wholesale enterprises, retail franchises, sport companies, or healthcare). Our solution enriched customer records to allow the company a better understanding of their revenue sources and to easily export this information to generate accurate reports for executive management.
We also made it simple for company business users to access their reference data with Ataccama ONE’s user-friendly GUI and make updates, corrections, and changes as needed.
The organization utilized the Ataccama ONE platform module for Master Data Management. Ataccama ONE MDM is an advanced, scalable, highly available module for managing and consolidating data, and providing master and reference data management tasks. Model and metadata-driven data processing enhances and complements Ataccama ONE data quality features and capabilities.
A biotech company centralized product and customer data from hundreds of sources to build a robust and business-user friendly data governance solution.
Ein großes Pharmaunternehmen aus England verbesserte mit Ataccamas Softwarelösungen die Datenqualität innerhalb des Unternehmens erheblich. Dazu wurden Daten aus Quellsystemen mit der Stammdatenpflege-Plattform (Master Data Hub) abgeglichen und die Stammdaten dann bereinigt. Lesen Sie weiter