Smart Data Collective

APRIL 29, 2020

Data management approaches are varied and may be categorised in the following: Cloud data management. The storage and processing of data through a cloud-based system of applications. Master data management. The tool assigns the role of ‘data stewards’ in an organisation to manage master data.

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

Astera

NOVEMBER 1, 2023

This structure prevents data quality issues, enhances decision-making, and enables compliant operations. Transparency: Data governance mandates transparent communication about data usage i n the financial sector. Data Quality: Data governance prioritizes accurate, complete, and consistent data.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

JANUARY 19, 2024

Astera Astera is an enterprise-grade unified end-to-end data management platform that enables organizations to build automated data pipelines easily in a no-code environment. Astera also has its Data Academy for training and a collaborative community forum. Avail a 14-day free trial to experience the solution firsthand.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

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

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

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