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Data quality techniques and best practices
master data management (MDM)
Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems. Continue Reading
data quality
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date. Continue Reading
What is Data Management and Why is it Important?
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. Continue Reading
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data governance (DG)
Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. Businesses benefit from data governance because it ensures data is consistent and trustworthy. Continue Reading
data
In computing, data is information that has been translated into a form that is efficient for movement or processing. Continue Reading
Advice on enterprise data cleansing from an SAP VP
SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight.Continue Reading
USAA adds data engineering skills to speed data science work
When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers.Continue Reading
What steps are key to building a data catalog?
An enterprise data catalog can help an organization effectively manage metadata and explore data sources. Expert Anne Marie Smith offers seven tips for creating a data catalog.Continue Reading
11 features to look for in data quality management tools
As the need for quality data has increased, so have the capabilities of data quality tools. Learn how collaboration, data lineage and other features enable data quality.Continue Reading
How data lineage tools boost data governance policies
Enterprises can bolster data governance efforts by tracking how and when changes are made to data. Expert David Loshin offers advice on what to look for with data lineage products.Continue Reading
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What is an enterprise data strategy?
Defining a data strategy can help focus an organization's data management initiatives -- but it isn't the same as data governance. Expert Anne Marie Smith explains why.Continue Reading
5 to-dos for your GDPR compliance checklist
It's never too late to fine-tune your GDPR strategy. Expert Anne Marie Smith suggests a current state analysis of your PII protections, drafting a data privacy policy and more.Continue Reading
Good data quality for machine learning is an analytics must
As companies add machine learning applications, they need to really understand -- and be able to improve -- their data. That's where data quality initiatives come in.Continue Reading
Good data quality for analytics becomes an IT imperative
High-quality data is a must for analytics applications. That's driving more demand for data quality tools, but quality initiatives are still maturing in many companies.Continue Reading
How a data steward can enable data governance, without 'police' tag
A data governance program doesn't have to be a police action. Instead, advises expert Anne Marie Smith, data stewards should help bring about cultural change in a collaborative way.Continue Reading