erwin

SEPTEMBER 10, 2020

Whether you need to drill down for a granular view of a particular data set or create a high-level summary to describe a particular system and the data it relies on, end-to-end data lineage must be documented and tracked, with an emphasis on the dynamics of data processing and movement as opposed to data structures.

Digital transformation 131

Digital transformation Metadata Government Compliance 131

Collibra

MARCH 18, 2021

Exponential growth in volume, speed, and variety of business data. require data auditing and reporting. Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems.

Metadata 59

Metadata Analytics Data migration Government 59

The Last Watchdog

NOVEMBER 4, 2021

For companies with legacy systems, the solution for complying with data protection regulations has been to either migrate their old data to a more modern filing system or to maintain separate systems for new data vs. old data. This is because the newer data protection regulations do not apply to old data.

Personal data 237

Personal data Unstructured data Privacy Data Privacy 237

Collibra

FEBRUARY 11, 2022

Multiple systems leading to a larger, more complex and more expensive hidden data factory. require data auditing and reporting. Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems.

IT 52

IT Analytics Sales Metadata 52

Collibra

MAY 7, 2021

Automatic data drift detection ensures accurate patient records, relevant treatment details, and consistent information across systems to deliver trusted data. No quality drop in data migration. Complying with data privacy protection regulations requires managing patient requests to view and update their personal data.

Analytics 59

Analytics Insurance Compliance Data migration 59

Collibra

FEBRUARY 10, 2022

Additionally, they can use data to inform product strategies. Drive employee satisfaction by gathering and using data to understand employee sentiment and addressing areas of improvement. Monetize their data by selling the data, metadata, and customer data that they have as a product.

Digital transformation 52

Digital transformation Metadata Data migration Analytics 52