We all lose things. Some of us are just better at finding them than others. I had to remind myself of that fact the other night in Las Vegas. I went to dinner with a friend at Brio, an Italian restaurant in the Town Square shopping center on The Strip. As
In my previous post, I examined ethics in a data-driven world with an example of how Facebook experiments on its users. Acknowledging the conundrum facing users of free services like Facebook, Phil Simon commented that “users and customers aren’t the same thing. Maybe users are there to be, you know... used.” What about when a
Let’s get this out of the way: EVERY PROJECT HAS ISSUES at one time or another. Sometimes a technical issue may need to be communicated to the project manager, escalated to gain resolution or just communicated within the project team. I seem to always hit issues during testing, and these issues never fail
Whether you’re embarking on a data quality mission for the first time or your presence is well known, it never hurts to have allies throughout your organization. By finding and gaining these supporters, you can gain influence and achieve your data quality goals. It may be difficult due to the
As part of The Affordable Care Act, many Americans have had to change insurance providers or plans. I’m old enough to realize that wide-sweeping changes like this legislation will surely face many legal, technological and financial obstacles; I've even talked about some of these issues before. Suffice to say, I didn’t expect a
I have previously blogged about how the dark side of our mood skews the sentiment analysis of customer feedback negatively since we usually only provide feedback when we have a negative experience with a product or service. Reading only negative reviews from its customers could make a company sad, but could reading only
I've written many times on this site about the exceptional data-management techniques of Amazon. The company does a remarkable job at managing both its operational and analytical systems. Because of the way that it handles vast troves of information, Amazon can do things that many companies cannot even approach. Yet
Issue management defines the process of documenting and escalating any issue that the project may encounter during development, testing and implementation into production. The process document could include the following: 1. How does the project find the issue? Usually, an issue is reported by one of the business users or conversion
You have kicked off a data quality initiative and had some great results. Your next goal is to build on this success and grow the influence of your team around the organisation. To achieve this, you need to get creative and put on your marketing hat. Here are some ideas
Few cities use data as much as Las Vegas. Walk into any casino and you'll see nothing sort of a paean to data. For instance, blackjack dealers use zero discretion when flipping cards. Pit bosses scour for potential cheats looking to move the needle just a few degrees. And that
