Sadly, magic is only for Harry Potter — not data lakes…
Data visualization is just the tip of the iceberg. The hard work is getting data worth reporting on…
Looking back at old research, how close have we come to the “awesome analytics” we hoped we’d have by now?
How can organizations avoid their data lakes turning into data swamps?
What chance does data have when faced with strong opinions?! Some tips…
How much could YOUR organization save if you had reliable, consistent information?
If you’re interested in SAP, BusinessObjects, and everything to do with Analytics, I encourage you to check out the Diversified Semantic Layer site. Here are notes on a couple of recent shows.
Even basic data quality problems can have big consequences, as the NSA learned to its cost.
Data quality is a hard problem to fix – as an illustration, here are some folks responsible for data quality that couldn’t spell data quality.
I don’t know about you, but my head is spinning with the phenomenal amount of change going on in the industry: here’s my roundup of the ten top trends in Business Intelligence and Analytics for 3013.