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Learn to apply best practices and optimize your operations.

• GDPR, AI intensify privacy and data protection compliance demands

  This guide covers the challenges data management teams face on data protection and privacy, particularly with the rise of GDPR and similar laws and the growing use of AI tools. Continue Reading

• Information Builders exec talks data management ethics

  In this Q&A, James Cotton, director of the Data Management Centre of Excellence at Information Builders, offers advice on how organizations can carry out ethical data management. Continue Reading

• Data modeling techniques to overcome common business challenges

  In this interview, author and data modeling instructor Steve Hoberman discusses techniques for dealing with challenges that may arise in the data modeling process. Continue Reading

• How 4 organizations are breaking down data silos

  Siloed data continues to inhibit enterprise efficiency. Here, IT professionals discuss problems their organizations are facing around data silos -- and how they're solving them. Continue Reading

• Building leaner, meaner BI data sources

  As business intelligence analysis and reporting platforms become increasingly important in the enterprise, so does the data that feeds them. Are your BI data sources up to par? Continue Reading

• Data virtualization tools promote anywhere, anytime data access

  This online handbook examines data virtualization software and how organizations are deploying and using the technology as part of their data integration processes.Continue Reading

• Data virtualization benefits seen in unified views, IT agility

  Through in-place integration, data virtualization platforms can provide wider access to data and simplify security and governance. But they come with some limitations.Continue Reading

• Data virtualization layer feeds logical data warehouse, Agile BI

  Indiana University is using data virtualization to combine data from various source systems for analysis, as part of an initiative to improve strategic decision-making.Continue Reading

• Data modeling best practices power analytics, business apps

  Data modeling is a key part of data management and analytics. This handbook highlights best practices for creating data models and new functionality in modeling tools.Continue Reading

• How data staging helped Walgreens transform its supply chain

  Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in.Continue Reading

• How to navigate the challenges of the data modeling process

  Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality.Continue Reading

• 8 tips to improve the data curation process

  A data curation and modeling strategy can ensure accuracy and enhance governance. Experts offer eight best practices for curating data. First, start at the source.Continue Reading

• 5 best practices for managing real-time data integration

  Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices.Continue Reading

• Why organizations need a solid data governance strategy

  Data management has evolved from centralized data accessible by only the IT department to a flood of data stored in data warehouses. Enter data governance.Continue Reading

• Data management trends for 2019: Governance, DataOps, cloud

  Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say.Continue Reading