Implementing a Data Strategy and Roadmap
At the very last minute (just before unplugging for the holiday break) I decided to attend a workshop hosted by Georgia chapter of Data Management International (DAMA-GA)…and what a good decision that turned out to be!
I’d be lying if I told you I was looking forward to this event. I think the thoughts running through my head were along the lines of…
”yeah, great… another networking event… just before the holidays… and look at how they got creative and called it a ‘workshop’, that’s cute… at least they’ll have food/booze…”
…and now I’m kicking myself for showing up late and missing almost the first half of the workshop.
The focus of the workshop was on Implementing a Data Strategy and Roadmap and was led by Peter Aiken and Lewis Broome from Data Blueprint. These are 2 veterans of the industry who seemed to know a thing or two about the topic – and I’m not just saying that because of their impressive CVs (which are indeed impressive)… I’m actually saying that because of the way they backed up nearly every major talking point with a real case study involving a (usually large) client they’d worked with in the past.
My favorite part of the workshop was when Lewis discussed the importance of coming up with the right data-strategy. Implementing a data strategy is not cheap and can be an incredible waste of money if you don’t come up with the right strategy…and the “right” strategy depends on the type of business (identifying strengths, weaknesses, and opportunities). Lewis went on to share some case studies that underscored this point and reminded me of several projects I’d been a part of where in hindsight it’s completely clear that the strategy was wrong (or just plain missing).
Here’s a link to the slides. If you ever get a chance to see these guys, I highly recommend it.