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Data quality techniques and best practices

• 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

• data quality

  Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context. 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

• data governance (DG)

  Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures and a plan to ... Continue Reading

• data

  In computing, data is information that has been translated into a form that is efficient for movement or processing. Continue Reading

• Definitions to Get Started

  • data quality
  • data governance (DG)
  • data
  • data scrubbing (data cleansing)

  • raw data (source data or atomic data)
  • synthetic backup
  • fixed data (permanent data, reference data, archival data, or fixed-content data)

  View All Definitions

• 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

• CDO jobs on the rise to help wring more business value out of data

  Chief data officers are becoming more prevalent in companies, and more necessary, consultant John Ladley said in a webinar -- so much so that he thinks 2015 could be 'the year of the CDO.'Continue Reading

• How metadata management relates to data governance and MDM

  Why is metadata management important? Because without it, you couldn't have a successful data governance or master data management program, explains governance expert Anne Marie Smith.Continue Reading

• Virtual assistant technology: More than just IBM Watson

  It might be all over the news, but IBM's megacomputer Watson isn't the be-all and end-all in virtual assistant technology.Continue Reading

• NoSQL technologies take on rising tide of big data

  For decades, IT managers, developers and business executives had limited options when shopping for database technologies: Relational databases were universally built on top of the SQL programming language. It was SQL or nothing.
  
  Now, ...Continue Reading

• Identifying data quality issues via data profiling, reasonability

  In a book excerpt, author Laura Sebastian-Coleman explores data profiling, data issue management and using reasonability checks in assessing quality.Continue Reading

• Dissecting data measurement: Key metrics for assessing data quality

  In a book excerpt, data quality architect Laura Sebastian-Coleman explains data assessment terminology and details a framework for measuring quality.Continue Reading

• A never-ending story: Improving data quality and integration for BI

  Data quality and integration need continual attention in business intelligence systems. But be sure you can avoid setbacks and keep moving forward.Continue Reading

• Take enterprise data quality for granted -- at your peril

  It might be tempting to assume that you don't have to worry about the quality of your data. But blind trust of that sort can get companies in trouble.Continue Reading

• Quiz: Improving your data governance and data stewardship program

  Do you know what it takes for an effective data governance structure to take root in an organization? Take this quiz and find out.Continue Reading