Four DI modernization mistakes
.@philsimon with some recommendations on modernization.
Tag: business intelligence
Considerations and tips for big data integration
.@philsimon asks some fundamental questions about taking the next step with #bigdata.
Building an analytics culture from the ground up
With all the industry emphasis and collateral available on high performance analytics, business intelligence and visual analytics, it can be difficult to know exactly where to begin, especially if you don’t have a team of statisticians standing by. Thankfully, analytics covers a huge range of opportunities to empower your business, and
Big data, data discovery and new tools
While not quite at the level of big data, data discovery is attracting a good bit of attention these days. I explore both topics in The Visual Organization and Too Big to Ignore. It's only fair for people to ask if their legacy reporting tools support big data and data discovery. In short, the
The Decision Wobegon Effect
Jim Harris (@ocdqblog) asks, Are your business decisions affected by the Decision Wobegon Effect?
Decision-making and the invisible information chain
Business leaders and managers at all levels within an organisation make hundreds of important decisions throughout the year and nearly all of them are driven by data.
This isn’t Jeopardy
Imagine a political debate between two candidates where one candidate answers every question quickly, beaming with confidence, and the other candidate answers every question slowly, and with less assertiveness in their response.
Keep the change: Why investing in change management matters
The always dynamic data environment makes it difficult for organizations to avoid change. In my last post, I talked about how change management can bolster data governance programs. It can also be used for other activities, including taking a portfolio-driven approach to business intelligence and adopting a new enterprise application
When senior executives know what “metadata” means…
“We’ll know that data has finally made it as the second most valuable asset in our company when all senior executives understand what 'metadata' means." This was an absolutely wonderful quote from a senior leader at a large insurance company with accountability for an enterprise data management initiative. (Even better,