Manage

Manage

Learn to apply best practices and optimize your operations.

• 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

• 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

• How data duplication in healthcare is diagnosed

  Electronic health record systems have helped reduce duplicate patient data in hospitals -- but they haven't cured the problem. Find out how organizations are addressing the issue.Continue Reading

• How to build a master data index: Static vs. dynamic indexing

  Expert David Loshin explores the differences between static and dynamic indexing in master data management systems, and which queries each approach can support.Continue Reading

• How deterministic and probabilistic matching work

  Expert David Loshin explores the benefits and challenges of the two classes of record matching in master data management systems: deterministic matching vs. probabilistic matching.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

• Big data platform broadens place in analytics architecture

  Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing.Continue Reading

• The gradual evolution of master data management software

  Master data management kicked off with a bang in 2004, then hit a few roadblocks before data governance was embraced by the industry. Expert Andy Hayler looks back at the MDM journey.Continue Reading

• Mining equipment maker uses BI on Hadoop to dig for data

  BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.Continue Reading