The startling truth of the Overton Window
A quick introduction to the Overton Window, a key concept that has helped me make some sense of what seems to make no sense at all sometimes where politics and sentiment analysis are concerned. 
analytics
Big Data Analytics – Unlock Breakthrough Results: (Step 3)
A deeper dive into defining the critical capabilities used across the four operating models discussed in an earlier post (Big Data Analytics – Unlock Breakthrough Results: Step 2). Describes each of the baseline capability groupings and a high-level taxonomy to be used in the decision model.
Big Data Analytics – Unlock Breakthrough Results: Step Two (2)
This post is part of a larger series to provide a detailed set of steps you can take to unlock breakthrough results in Big Data Analytics. This step addresses identifying the type and nature of the operating models used within the analytic community along with the most important capability each demands.
Big Data Analytics – Unlock Breakthrough Results (Step 1)
You’ve made the big data investment. Now it’s time to realize value. This series of posts is going to provide a detailed set of steps you can take to unlock this value in a number of ways. As simple use case I’m going to address the perplexing management challenge of platform and tool optimization across the analytic community as an example to illustrate each step.
Big Data Analytics – Nine Easy Steps to Unlock Breakthrough Results
Nine easy steps to unlock breakthrough results in Big Data Analytics which can be performed concurrently by both business and technical professionals working together to arrive at the suggested platform and tooling optimization decisions.
Forrester’s 2016 Predictions: Turn Data Into Insight And Action
Three of four architects strive to make their firms data driven. But well-meaning technology managers only deal with part of the problem: How to use technology to glean deeper, faster insight from more data — and more cheaply. But consider that only 2…
Forrester’s 2016 Predictions: Turn Data Into Insight And Action
Three of four architects strive to make their firms data driven. But well-meaning technology managers only deal with part of the problem: How to use technology to glean deeper, faster insight from more data — and more cheaply. But consider that only 2…
Semantic Technology Is Not Only For Data Geeks
You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.
It begins with a seemingly innocent set of questions:
“Is there a better way to master my data?”
“Is there a better way to understand the data I have?”
“Is there a better way to bring data and content together?”
“Is there a better way to personalize data and insight to be relevant?”
Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.
Semantic Technology Is Not Only For Data Geeks
You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.
It begins with a seemingly innocent set of questions:
“Is there a better way to master my data?”
“Is there a better way to understand the data I have?”
“Is there a better way to bring data and content together?”
“Is there a better way to personalize data and insight to be relevant?”
Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.
Information Security Breaches Visualized
Regardless of news stories and articles, companies and governments continue to suffer from major information breaches. I teach a course on Information Security Risk Management and Legal Issues to Masters students at the New York Institute of Technology…
A Project Portfolio Management Approach
I introduced an approach to project portfolio managment (PPM) to my IT team at the American University of Sharjah. After 9 months here, I have a real sense that we were doing too many projects for the resources that we had available. The result of trying to do too much was that our planning […]
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Voterball: The Data Disruption of Electoral Politics
If there’s a great story coming out of the recent presidential election, it’s how analytical, evidence-based methods are disrupting the conventional wisdom of political pundits and campaigns to deliver significantly more reliable forecasts and actionable insights. The most … Continue reading →