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)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Quality Government 52

Ntara

JUNE 26, 2023

Sometimes product data management can seem vast or vague, even to IT experts who know technology and data well. At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. It also includes where each attribute lives in the data hierarchy.

Data Management 52

Data Management Documentation Data Governance Government 52

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 102

Data Governance Government Data Quality Change Management 102

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Analysts Corner

NOVEMBER 24, 2022

The future state of business processes requires new ways of working that result in a great deal of change, and it is important to understand what change means to different groups of stakeholders, so as to design and implement an effective change management plan to help teams to get used to the new ways of working.

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Astera

AUGUST 29, 2024

Setting Goals and Objectives: Defining the desired outcomes of the integration project, including data quality improvements, system efficiency gains, and business benefits. Step 2: Data Mapping and Profiling This step involves understanding the relationships between data elements from different systems.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52