Ataccama implemented centralized consent management and authorization for the bank’s customer data, making it clear to all group members and departments which data could be legally used for which purposes and laying the foundation for the group’s compliance with GDPR legislation. The solution design allowed for extension to future data privacy and protection regulations such as CCPA.
The biotech company aimed to implement a data governance solution with high quality data at its core. Since the early 2000’s, the organization had been using one primary customer relationship management (CRM) system, together with a number of additional systems to store product data, customer information, and more. They sought to overcome this data storage complexity and achieve data excellence.
While the amount of data handled by company systems was not an acute issue, certain early data design and definition choices in the company made their data structures more complex than necessary. Moreover, input data existed as a variety of types, including bank information, emails, addresses, purchase orders, invoices, company codes, and more. The company estimated that prior to cooperation with Ataccama, 66% of data issues were related to lack of governance, the absence of formalized definitions, and communication difficulties.
Ataccama cooperated with the biotech company on the implementation of two data quality projects.
The first project entailed checking the quality of customer and vendor data stored in their systems, as well as data mapping, joining, and the application of data quality rules.
After seeing the successful results of our initial cooperation, the company decided to pursue another data quality project with Ataccama. Given the nature of their biotechnology business, which includes factories for industrial-grade ethanol and a significant number of factory machines producing vast amounts of data, the company sought to take data from 100+ factories and compile it into a single database. Centralizing this data and ensuring that it was of high quality allowed analysts to learn which of their factories were running most efficiently, which were using optimal metrics, and more.
Ataccama successfully implemented a data quality solution which enabled the monitoring and safeguarding of data quality through a series of rules and definitions. Additionally, we generated a key set of documents, models and tools to support ongoing work to improve data quality and to optimize the associated data curation processes—all handed over to the company’s Data Excellence team.
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.
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
Ein US-amerikanischer Gesundheitsdienstleister implementierte Software-Tools von Ataccama. Damit konnte Datenqualität im gesamten Unternehmen gewährleistet werden.
Das Versicherungsunternehmen ging zusammen mit Ataccama das Thema ”Datenqualität” an. Zur Erstellung von Unternehmensanalysen und zur Berichterstattung nach regulatorischen Richtlinien sollten und werden nun nur Daten in hoher Datenqualität verwendet.