Saving lives with better data: Wisconsin’s ePDMP gets a national audience

It’s easy to get way too esoteric when we’re talking about how important it is for an organization to understand its data. Yes, trustworthy data is critical for our customers to meet needs like serving customers, managing risk, predicting costs, and analyzing markets. But nothing is quite as powerful as being able to say: MIOsoft software is saving lives through better data. We’re very proud that we can say that…

8 things you should know about Customer 360

For a topic as hot as Customer 360 is, it’s strange that the web is so devoid of helpful information. Sure, plenty of vendors have documents that claim they can deliver it. But apparently few are willing to provide information that helps you wrap your head around exactly what Customer 360 is and how to make it happen. We’ve been focused on the research, development, and delivery of the technologies…

Big data & IoT at work in the community

There’s a tendency, in conversations about big data and IoT, to only talk about examples from the extreme upper echelons: the biggest corporations with the largest amounts of data from the most sensors. In the excitement, it’s easy to lose sight of the fact that most organizations aren’t multinational megacorps with petabytes of data. Most organizations operate at a much smaller scale: their reach is national or regional. And many…

Microsoft Ignite

Jordan Barrette and I have been in Chicago this week for the inaugural Microsoft Ignite conference. If I had to pick one word to summarize the experience at Ignite, it would be GIANT. What does giant look like? Monday’s opening keynote was a morning-long mega-show. Being Microsoft means you can have Common kick off your event with a spoken word performance meant to inspire all 23,000 people you’ve collected in one…

The Resurrection of Customer Context

Several years ago, MIOsoft experienced one of my favorite customer information management disasters. A major computer hardware vendor mistakenly had an address for an office MIOsoft hadn’t used in over a decade as our ship-to address for an order of servers. Although it was corrected in time, this address subsequently popped up in interactions with the vendor for the next several years. At some point, everyone working with that vendor…

Accident Explorer: Machine learning with traffic accident data

One evening I went out to the curling club for a few hours and, according to the electronic sign over the highway, three people died on Wisconsin roads while I was there. There are more than 4 million miles of roads in the United States, and 210 million licensed drivers. That’s a lot of opportunities for things to go wrong. And they do: from 2010 through 2013, there were more…

Data First (Part 2): The Spec Is In The Data 

If you’re getting ready to start a new integration, application, or analysis project, you’re probably doing all kinds of requirements gathering. Unfortunately, unless you’re considering data first, the copy books are probably wrong, the state diagrams are probably incomplete, and the business processes are probably too simplistic. These problems are extremely prevalent in data-centric projects. Traditionally, you use a data last method—you build up the specification a priori, and only…

The Nexus of Big Data: Context

  Big data has a big problem. You know that data lake you recently started filling? Its data ecosystem is already well on its way to a catastrophic tipping point. Has a platform vendor convinced you to dive in with visions of a serene data-lake-side cabin in the woods? They probably forgot to mention how many horror stories have the same setting. Don’t hold a grudge. Vendors were just responding…

Data First: Never Trust A Dashboard

A friend of mine recently asked me for advice on interviewing a data scientist. We had a fairly lengthy discussion on the topic, but I didn’t feel like I really provided any insight. What I should have said is: “Ask them what they think of dashboards.” Summary tools like dashboards are great. They make it easy for us to consume and extract meaning from large amounts of data. They are…

Hello, (Big Data) World.

If you were to ask me in conversation what MIOsoft does, I’m sure I would include the term “big data” by accident. I’ve avoided the term “big data” in my own lexicon recently because of its overuse in marketing and media, but there’s actually an impressive degree of accuracy in describing MIOsoft as a big data company. In 1998, MIOsoft’s goal was to create the technology necessary to efficiently combine…