Due to its strategy of growth by acquisition, the financial services company was composed of several different payment networks (acquired companies), each with their own technical stack and sales processes. The processor aimed to reach a stage where all of its payment networks could access the same data and use standard practices, sales strategies, and technology.
Ataccama migrated data from former individual companies to a single location with Hadoop, and implemented a data quality solution so that data could be better analyzed, understood, and utilized.
Hadoop Implementation: In the first stage, Ataccama helped the company migrate their data from individual companies to a Hadoop cluster.
Data Profiling and Cleansing: Migrating data to a single location on Hadoop did not increase understanding of that data by itself. Ataccama made the company’s data more useful by implementing a comprehensive data quality solution, using profiling to allow the organization to better understand the contents of its data lake, and cleansing to improve and standardize their data.
The organization utilized the Ataccama ONE platform module for Big Data Processing & Data Integration. It covers the entire data integration, ingestion, transformation, preparation, and management process, including data extraction, import to a data lake and Hadoop, cleansing, and general processing.
A biotech company centralized product and customer data from hundreds of sources to build a robust and business-user friendly data governance solution.
A major pharmaceutical company aligned data in source systems with their existing master data hub, cleansed master data, and improved data quality across their organization.