Discover how a major UK-based pharmaceutical company aligned data in various source systems with their existing master data hub, cleansing their master data and improving data quality across their organization and branches around the globe.
The pharmaceutical company aimed to determine how closely data in their source systems (including clinical studies, chemical compound and substance information, customer data, and more) corresponded with the information in their existing master data management hub. They accomplished this and more by establishing a comprehensive data quality platform with Ataccama to handle their data across the globe.
Although not an original requirement of the project, in the process of implementing a data quality solution, Ataccama uncovered data quality issues not only in terms of differences between attributes in source systems and their MDM hub, but also within data stored in the company’s MDM hub, including duplicated information, invalid values, and more.
Ataccama implemented a comprehensive data quality solution to enable company data curators to locate and repair any data issues in their source systems and MDM hub. The solution also allowed business users to view data quality improvements over time and raise awareness of the importance of data quality on all levels. The solution included features such as:
As a whole, the company was able to utilize Ataccama data quality tools to cleanse their master data and improve data quality across source systems. Currently, we are working with their data team to explore further use cases for data quality and big data, and have implemented more than 15 projects in total.
The pharmaceutical company leverages Ataccama’s complete suite for data quality and governance:
Data Quality Center (DQC) – a powerful, business rule driven engine for complex data management that enables you to transform, standardize, cleanse, validate, correct, and enrich your data, and prevent incorrect data from entering your systems.
Running on top of the DQC engine, there are two user-friendly applications for data stewards and business users:
Data Quality Issue Tracker (DQIT) – allows data stewards to resolve various data quality issues that cannot be managed [or fixed/settled] automatically and require their approval or other manual intervention.
Data Quality Dashboard (DQD) – an application providing a quick, accurate snapshot of the current state of your data, and an excellent tool for tracking data quality trends. For the Telco, DQD was used to analyze source data from multiple streams.
The pharmaceutical company most appreciated the flexibility of Ataccama’s DQ tools, as well as the fact that they are domain-agnostic, allowing the company to apply the tools to clinical studies, chemical compound information, customer data, and more.
Find out what’s in your data, from incorrect or missing values to duplicates and more, with our sleek, collaborative cloud application for data profiling—Ataccama ONE Profiler.
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