We often assume that data obtained from outside sources meets the same quality standards as data from our own operational systems. Unfortunately, this may not be true.
- By Mike Schiff
- August 30, 2016
Do "Band-Aid" approaches always seem to become the permanent solution? You need to avoid shortcuts to ensure a strong foundation in your data architecture.
- By Wes Flores
- August 10, 2016
Advances in analytics and data management have practical effects on the world around us. These improvements are driving innovation in fast-changing industries such as healthcare and agriculture.
- By David Stodder
- July 21, 2016
With the continuing push for more speed and for cloud offerings, integration platform-as-a-service is gaining traction in new ways.
- By Linda L. Briggs
- July 1, 2016
Learn how to leverage your company's data to drive new revenues, reimagine business processes, improve the customer experience, and comply with new and growing regulatory requirements.
- By Stan Christiaens
- June 27, 2016
Learn how to use analytics to improve your marketing, select the best big data science tools, and improve data quality for more accurate analytics.
- By Quint Turner
- June 24, 2016
Learn how to approach common data quality problems, what pros and cons you face selecting open source analytics solutions, and definitions of 20 common cloud computing terms.
- By Quint Turner
- June 20, 2016
Learn about trends in cognitive computing that help enterprises manage big data, why you may be struggling with data quality and what to do about it, and 5 best practices in big data security.
- By Quint Turner
- June 17, 2016