Precisely

JULY 12, 2024

Data integrity is based on four main pillars: Data integration : Regardless of its original source, on legacy systems, relational databases, or cloud data warehouses, data must be seamlessly integrated in order to gain visibility into all your data in a timely fashion.

Data Quality 105

Data Quality Data Governance Database Analytics 105

Precisely

MARCH 14, 2023

Whatever your unique objectives may be, the Data Integrity Suite’s Data Quality module will play a critical role in your ongoing data integrity journey – ready to help you tackle new use cases with data that’s accurate, consistent, and fit for purpose where you need it most.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

Precisely

APRIL 11, 2023

It’s critical that business analysts have the data they need and that IT has the appropriate metadata associated with those datasets for seamless replication into the cloud. That’s why a data catalog is critical to any organization – particularly if you run analysis and reports in cloud data platforms.

Data Observability 52

Data Observability Cloud Data Data Quality Data Governance 52

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. Self-describing.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52