Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Timo Elliott

JANUARY 5, 2022

Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels. Timo: I love coming to Belgium, I always notice several great innovation projects here. We see that they don’t always have the budget to invest heavily in innovation.

Digital Transformation 289

Digital Transformation Chief Data Officer Innovation Digital 289

Astera

JANUARY 12, 2024

Self-Serve Data Infrastructure as a Platform: A shared data infrastructure empowers users to independently discover, access, and process data, reducing reliance on data engineering teams. However, governance remains essential in a Data Mesh approach to ensure data quality and compliance with organizational standards.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Business Analysts

APRIL 5, 2023

AI is making a significant impact in the enterprise space, enabling organizations to automate processes, gain insights from data, and optimize operations. As AI continues to evolve, it will become even more critical for businesses to leverage technology to remain competitive and drive innovation.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Requirements Gathering 52

Astera

MAY 25, 2023

Big data drives innovation, but only if it remains secure. what are the 3 elements on big data security? To effectively secure big data, you must focus on three core elements: confidentiality, integrity, and availability. Change management: Establish a standardized process for making changes to data sets.

Big Data 40

Big Data Data Security Monitoring Data Quality 40