Why they will still play a valuable role in organizational data-management and -integration efforts.
What's more, CXOs who believe that they can substitute data scientists for real data integration are as foolish as the duffer who consistently uses the wrong club.
.@philsimon on whether organizations need MDM to gather valuable insights about their customers.
.@philsimon on what's next for MDM applications.
.@philsimon says that it's never too early to think about the IoT and data management.
.@philsimon on what to do when the data breaks bad.
.@philsimon on whether big data and analytics offer true guarantees.
.@philsimon on the specific risks to data quality posed by cloud computing.
.@philsimon on the convergence between tools such as Hadoop and strategy.
.@philsimon provides insights on whether a data strategy can result in competitive advantage.
.@philsimon begins a four-part series on the need for a proper data strategy.
.@philsimon on whether data governance is still relevant.
.@philsimon on the soft skills that Big Data requires.
.@philsimon on bridging the IT-business divide once and for all.
.@philsimon on the new role of IT.
.@philsimon on the new challenges of an old problem.
While not on the same level of Rush, I do fancy myself a fan of The Who. I'm particularly fond of the band's 1973 epic, Quadrophenia. From the track "5:15": Inside outside, leave me alone Inside outside, nowhere is home Inside outside, where have I been? The inside-outside distinction is rather apropos
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up