Read this blog post to learn what augmented data lineage is and how business and analytical roles within enterprises can use it to find data and perform root cause analyses faster while avoiding corporate red tape.
The data quality function of a data governance practice focuses on data quality’s dimensions of completeness, validity, uniqueness, consistency, integrity, and timeliness. It represents these to the Data Governance Office in a way that allows for the data to be evaluated for exposure to data quality issues, from both the technical and business perspectives.
If cars can drive themselves, why can't data management? Artificial intelligence can now facilitate the classification and processing of metadata, leading to remarkable gains in efficiency, quality and speed. Find out more in this webinar.
Learn why crowdsourcing should come as step two in data catalog population and how automating metadata capture makes crowdsourcing more efficient.
Trusting your data means understanding its lineage. We’ve recently announced a partnership with MANTA to enrich our ‘self-driving’ data management platform with data lineage and bring its capabilities to both business and technical users.
Read this article to learn how we migrated a client’s metadata management solution to the Ataccama ONE Data Catalog and created an automated process for keeping metadata up to date.
Ataccama implemented centralized consent management and authorization for the bank’s customer data, laying the foundation for GDPR compliance.
Watch this webinar to learn how to maintain reference data centrally and improve data governance with a single version of truth, and why Excel is not the right tool for this.
Data lakes contain several deficiencies and bring about data discovery, security, and governance problems. Learn how implementing a data catalog can solve these problems.
Data Quality Management doesn't have to be rocket science. Replay our 30-minute webinar to see how you can deploy a DQ monitoring solution from your browser in a matter of days.
Discover how Toronto Public Library implemented Ataccama ONE Data Quality Management to modernize data management practices across their library systems.
Learn how Avast engaged Ataccama to deliver a complete customer master data solution to improve their customer experience and ensure compliance with the highest of data privacy standards (such as GDPR).
Discover how our Ataccama ONE platform automates manual and time-consuming tasks and optimizes performance throughout the platform.
Watch this webinar to learn why managing metadata is important, how to get started, how to operationalize metadata for business applications, and why AI is becoming critical for metadata management.
Узнайте, насколько у крупной банковской группы эффективно реализована интеграция с клиентскими данными и внедрено централизованное решение по согласованию данных от Ataccama.
Специализированная страховая компания занималась проблемами качества данных в целях получения гарантий того, что при анализе деятельности компании и составлении нормативной отчетности используются только высококачественные данные.