Data Governance Data Modelling Data Quality Government 
Astera
APRIL 24, 2024
What is a Data Governance Framework? 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.
Dataversity
FEBRUARY 4, 2022
But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […].
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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.
Timo Elliott
JANUARY 6, 2022
If storage costs are escalating in a particular area, you may have found a good source of dark data. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. Storing data isn’t enough.
Astera
MARCH 28, 2024
So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.
The Data Administration Newsletter
DECEMBER 20, 2022
Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.
Astera
MAY 13, 2024
These are some uses of hierarchical aggregation in a few industries: Finance: Evaluating financial data by transaction, account type, and branch. Government: Using regional and administrative level demographic data to guide decision-making. Data Quality Assurance Data quality is central to every data management process.
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