.@philsimon chimes in with trust- and privacy-related recommendations
.@philsimon says that, once again, there’s quite a bit to learn from Amazon.
.@philsimon looks at the challenges and opportunities that big data pose for data governance.
.@philsimon says don’t treat data self-service as a binary.
.@philsmion says that even the “best governed” organization today isn’t safe from inquiring minds.
.@philsimon asks, Rather than trying to tackle a new form of governance, wouldn’t your organization do better to shore up its existing data-governance practices?
.@philsimon on the need to adopt agile methodologies for data prep and analytics.
.@philsimon chimes in on new data-gathering methods and what they mean for analytics.
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.