Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? The documentation and assistance videos can be unclear and overly technical.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

JANUARY 2, 2024

Today, this means they should have the necessary resources and infrastructure to be able to deal with big data—large volumes of structured and unstructured data—efficiently. This also includes maintaining data quality while ensuring easy access to the needed data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JULY 13, 2023

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

NOVEMBER 1, 2023

As the financial services sector grapples with an ever-expanding volume of data and increasingly stringent compliance demands, the need for a holistic approach to data governance is undeniable. Regulatory Landscape and Compliance Requirements in Financial Services Data governance and compliance are related but distinct concepts.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

AUGUST 8, 2023

Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity. Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights. Additionally, a few users have reported encountering issues with the data-matching algorithm.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52