Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
Jim Harris addresses some of the most common questions and challenges big data poses for data quality.
Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
Jim Harris addresses some of the most common questions and challenges big data poses for data quality.
.@philsimon on bridging the IT-business divide once and for all.
If I were to believe the feedback I get, statisticians are among the most difficult people to work with. What’s more, they’re the only group that should be allowed to work in data analytics. It sounds harsh, but this may explain why big data projects continually fail. Businesses need statisticians who are both