Problem solve

Problem solve

Get help with specific problems with your technologies, process and projects.

• Temporal data reality: In BI, time is of the essence

  To fully understand their analytics data, organizations need to incorporate temporal data capabilities into data warehouses and business intelligence systems, consultant Barry Devlin says. Continue Reading

• Balance required between big data volume, analytics needs

  Many businesses implementing big data analytics applications focus on the size of their data sets, when what they should really focus on is whether they have the right data. Continue Reading

• Social media sentiment analysis helps investors place bond bets

  Sentiment analysis based on social media data can be tricky to pull off, but Capital Market Exchange is using it to provide insights on the corporate bond market to investment managers. Continue Reading

• Managing big data: The two biggest mistakes companies make

  Many organizations are setting their big data analytics efforts up for failure by plunging ahead without proper planning upfront, says book author Keith B. Carter. Continue Reading

• Managing privacy in the age of big data

  Businesses that overlook privacy in the age of big data do so at their own peril. Commentators say greater respect for privacy is needed. Continue Reading

• Sounders coach shows way ahead for analytics in sports

  The Seattle Sounders fitness coach is taking sports analytics into uncharted territory and scoring some big wins along the way.Continue Reading

• TDWI attendees explain how to do analytics in healthcare

  Analytics in healthcare is not impossible. TDWI Executive Summit attendees in Boston explained how it can be done. Also, location analytics is getting more attention.Continue Reading

• How to speed up analytics in healthcare

  Attendees at the TDWI conference in Boston explain how they are speeding up analytics in healthcare.Continue Reading

• Provider uses health analytics to improve patient care

  One community health center was not content with the quality of care it was delivering, so it decided to do something about it with help from health analytics.Continue Reading

• Design a business intelligence system properly -- for business users

  Rick Sherman explains how to avoid common mistakes when planning and designing BI systems, saying that the varying needs of different business users must be front and center.Continue Reading

• Adoption of analytics in healthcare faces hurdles

  Analytics in healthcare is a hot topic, but providers need to get their infrastructure on more solid footing before moving forward with adoption.Continue Reading

• Data battle rides on big data systems, executive awareness

  Consultant Rick van der Lans says data is now a competitive differentiator -- and companies looking for an edge need top management that understands big data technologies.Continue Reading

• Talking Data podcast: Predictive modeling techniques

  Predictive modeling is more than a math problem. This Talking Data podcast looks at it from the business and technology perspectives.Continue Reading

• BI architecture needs extensions to meet new analytics demands

  Claudia Imhoff and Colin White outline a business intelligence environment designed to accommodate existing data warehouses and new technologies.Continue Reading

• R language well-suited to analytical data sampling and manipulations

  Analytics expert Mark Whitehorn explains the strengths of R and how to determine if the open source programming language fits your analytics purposes.Continue Reading