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Data quality techniques and best practices

• How data lineage tools boost data governance policies

  Organizations can bolster data governance efforts by tracking the lineage of data in their systems. Get advice on how to do so and key features in data lineage tools. Continue Reading

• 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

• 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

• Definitions to Get Started

  • master data management (MDM)
  • data quality
  • What Is Data Management and Why Is It Important?
  • data governance (DG)

  • data
  • data scrubbing (data cleansing)
  • raw data (source data or atomic data)
  • synthetic backup

  View All Definitions

• 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

• 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