Problem solve

Data quality management software

• Proactive practices for data quality improvement

  Instead of waiting for data quality to become an issue, consider a proactive approach. Here are some ways to improve data quality in your organization before it becomes a problem. Continue Reading

• 5 steps to an improved data quality assurance plan

  Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems. Continue Reading

• Why data silos matter: Settling ownership of data issues

  Data management is often still seen as an IT task, but that can lead to data silos. Find out why the business should be in charge of its data as part of a governance process. Continue Reading

• Using data profiling techniques -- and estimating the effort required

  Data profiling is a key part of data quality efforts. Here's a simple formula for calculating the amount of time needed to profile a data set. Continue Reading

• Data governance tools: Part, but not all, of the governance puzzle

  While tools designed for data governance are helpful, organizations must also implement best practices and standard processes to be effective. Continue Reading

• How often should you update your data quality strategy?

  Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising your data quality strategy can help.Continue Reading

• Implementing data quality software but ignoring governance policies

  Is it OK to implement data quality software but ignore your data governance policies? Learn more about the relationship between data quality software and governance processes.Continue Reading

• Open source data quality software to help with name matching

  Learn what to consider before adopting open source data quality software to help with identity resolution and name matching.Continue Reading

• Are the data quality issues worse in real-time data integration apps?

  Find out if real-time data integration applications has more data quality issues than other approaches. Also, see if real-time or near-real-time integration are really useful.Continue Reading

• Is open source data management software better than traditional tools?

  Get a snapshot of the open source data management software vs. on-premise tools debate with advice from a systems expert, including creating policies for open source applications.Continue Reading

• Should we buy data quality management tools or focus on policies?

  Looking improve your data quality? Data quality management tools might not be the best answer. Find out why.Continue Reading

• How to improve data quality on a tight budget -- a guide

  Many organizations may be tempted to forgo data quality management to save money, but it's important to assess the ROI of high-quality data, according to consultant David Loshin.Continue Reading

• Data quality management tips and best practices

  Get data quality management tips and best practices with expert advice and book excerpts. Learn about academic sources for data quality, key steps and common mistakes of data quality implementations, how much you should spend for data cleansing and ...Continue Reading

• Data quality management tools: Where to get unbiased information

  Find out where to go to get unbiased assessment and analysis of data quality management tools.Continue Reading

• Data quality management pitfalls: Three common mistakes to avoid

  Data quality expert David Loshin addresses three common data quality management mistakes to avoid. Read what areas to keep an eye on while implementing your data quality management initiative.Continue Reading