Due to its strategy of growth by acquisition, First Data was composed of several different payment networks (acquired companies), each with their own technical stack and sales processes.
First Data 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.
Data Quality Center (DQC) – First Data migrated all data to Hadoop, then used our DQC engine to determine the content of that data. They improved data quality by structuring data in a more useful way and cleansing it.
Master Data Center (MDC) – Once their data was structured, First Data used Ataccama’s MDC to find duplicates in their client base for their sales team.
Big Data Engine (BDE) – As First Data wanted to scale up with Hadoop, BDE was utilized to ensure the migration went smoothly.
Reference Data Manager (RDM) – Ataccama’s RDM was used to define and standardize reference data values, and to identify fraudulent numbers with phone number blacklisting.
Proof of Concept and early work in Big Data and Reference Data: Ataccama gave meaning to Hadoop by defining reference values such as payment and error codes, saving the company $1 million at the start of cooperation.
Standardization: Data was not consistently organized across various platforms, so Ataccama worked to standardize all company data.
Enrichment: Ataccama helped the company enrich their data with information that was not originally available, such as addresses, postal codes, or transaction types.
Distribution and business user empowerment: Ataccama allowed all First Data analysts to access their standardized and enriched data in Hadoop. We also enabled them to build small databases on demand, which proved especially beneficial to their marketing department.
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