.@philsimon on the reliability of social numbers.
Author
@philsimon on the need to recognize DQ differences.
.@philsimon on the different folks you'll encounter in many large organizations.
.@philsimon on the relationship between metadata and unstructured data.
.@philsimon on an important question.
.@philsimon on the stickiness of data
So much for a single version of the truth.
.@philsimon on title inflation.
.@philsimon on the proliferation of "as a service" terms.
.@philsimon on the importance of timing.
.@philsimon on those who minimize the importance of data.
"Big data isn't useful for investment purposes." So said my friend Walt during one of our recent arguments discussions. By way of background, Walt is not an über-successful 70-year-old investor who earned his chops well before the advents of Twitter, Facebook and their ilk. Rather, he's a man of a similar age to
Is big data becoming too big to ignore? An increasing number of organizations seem to think so. As Matt Asay on ReadWriteWeb writes: According to a recent Gartner report, 64% of enterprises surveyed indicate that they're deploying or planning Big Data projects (emphasis mine). Yet even more acknowledge that they
.@philsimon on data, coffee and analytics.
Do null sets always spell bad news? @philsimon says no. Find out why.