Posts tagged data
The Fastest Growing Analytics And Data Science Roles Today

Not long ago, the role of Data Scientist was what most companies wanted to discuss with me in terms of roles they needed to understand and add to their organizations. Then, the role of Data Engineer became a big topic of discussion. In the past year, there has been a massive increase of attention being paid to yet another role that is still new enough that its title hasn’t been standardized.

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Welcome to the Age of Explainability

Modern life has been good for those who understand and can develop analytics. From sex to soccer, data and algorithms are having an increasing impact on how important decisions are made. But it hasn’t been as pleasant for those who don’t understand algorithms but are still subject to the decisions they help to make.

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Why Predictions are Not Enough

In recent times, I have read a number of articles lamenting the frequent lack of value resulting from large scale analytics and data science initiatives. While I have seen substantial value driven from many efforts, I have also seen examples where the results were very poor. My belief is that oftentimes the problems can be boiled down to one basic mistake. Namely, thinking that generating predictions, forecasts, or simulations is enough. It is not.

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As the Internet of Things (IOT) continues to gain momentum, there is a critical component to success that is missing today. While I’ve written about the power of the Analytics of Things (AOT), without addressing some tactical issues regarding the registering, tracking, and retiring of the things we want to analyze, we won’t be able to get where we need to be. We need to be in a position that allows easy and pervasive access and analysis of IOT data.

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Bill Franksiot, IoT data, AoT, dataComment
Change Your Business One Metric at a Time

Change is hard for most organizations and individuals. Change that goes against historical cultural norms is even harder. In today’s fast moving business world, organizations have to change at a more rapid pace than ever before. While it may be difficult, change is possible. In many cases, taking a measured, steady approach to change can be more successful than pushing for massive, immediate change.

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The Hot New Tech Startup Is Uncle Sam

I’ve been hearing interesting rumors about a hot new tech services startup—on the East Coast for a change. In fact, it’s in Washington, D.C., and it’s financed by really deep pockets—the U.S. government budget. Your national government may have had some problems with IT in the past—a range of disasters come to mind—but now the US seems to have some of the best IT people in the country.

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Is Your CEO Out Of Touch Or Being Misled?

The Economist revealed the results of a major study aimed at identifying how businesses that are successful at being data-driven differ from those that are not. Some of the findings are quite expected, and there are a few surprises. For the most part, data-driven organizations seem to be doing a lot of the very things you’d expect: providing wide access to data, supporting the use of data for decision making, support from the top, etc.

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Making Sense Of The Third-Party Data Economy

When I think of the data economy, I usually focus on either online firms like Google and LinkedIn, or large, established companies like GE and Monsanto that have invested in data and analytics-based products and services for their customers. These companies use their own data to develop their own products and services. But there are certain advantages from having third parties do this sort of work for you. They can provide independence, scale, and processes that are solely focused on helping to monetize your data.

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What Business Leaders Can Learn From Intelligence

After reading the interesting story about Edward Snowden in Wired, and I can’t quite figure out what I think of the man. He seems neither the patriot that James Bamford (not surprisingly, given his background) portrays him to be, nor the traitor that some argue. The story certainly nourishes the increasing concern that the US spies on its own citizens and national allies. And there is little doubt after reading it that a disgruntled employee (or contractor) can walk out an intelligence agency’s door with a “pocket full of thumb drives.”

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Who Owns Your Data Exhaust

More than twenty years ago, consultants Stan Davis and Bill Davidson, in the book 2020 Vision, argued that a company’s “information exhaust” could be used to “informationalize” a business and turbocharge its performance. Their primary examples of this phenomenon were information companies—Quotron, TV Guide, TRW, and the like. They did argue, however, that any company in any industry had the potential to be informationalized by its data exhaust.

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The Analytics Of Things

The press and blogosphere are full of references to “The Internet of Things” (TIoT) or even “The Internet of Everything.” It’s great to connect inanimate objects to the Internet, of course. But that’s only a first step in terms of doing something useful with all those connected devices. “The Analytics of Things” are just as important, if not more so.

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Making Big Data Actionable: How Data Visualization And Other Tools Change The Game

Bill Franks, an IIA faculty member and Chief Analytics Officer for Teradata, was featured in a webinar discussing approaches to making big data more actionable and profitable by utilizing data visualization tools and strategies. The talk highlighted the important opportunities and level of insight that big data and analytics can provide organizations and shared how visualization tools can better support decision making and lead to discovery of new insights.

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Hacked By The Internet Of Things

One of the fastest rising trends today is the Internet of Things (IOT). For those who don’t know, the Internet of Things refers to the vast network of connected devices that communicate with each other to relay information. That information is usually captured by sensors. As sensors and transmitters become cheaper, more and more everyday items are becoming part of the IOT.

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For Better And Worse, Big Data Grows Up

A company to which I’m an advisor just released its second annual survey of big data use in large companies. Most of the companies (75%) participating in the survey were large financial firms, but 20% were in healthcare and life sciences, and 5% in other industries. The results of the study indicate that big data is growing up. This is mostly a positive phenomenon, but there are some warning signs too.

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