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Big Data Projects – When You're Not Getting the ROI You Expect

August 8, 2016 by Paul Barsch

Some failing big data projects get millions more pumped into them with the hope that they’ll break even. At some point good money needs to stop chasing bad projects, but it takes leadership to make the right decision.[read more]

A Two-Stage Approach to Financial Return for Data Lakes

July 11, 2016 by Paul Barsch

Depending on whether you “build” your data lake in the cloud or on premise, it could take anywhere from six months to a year to be fully deployed. But those companies that are faithful to creating and using a big data platform should see not only break-even but real return too.[read more]

Big Data ROI? Not Likely in Year 1

June 2, 2016 by Paul Barsch

For year one of your big data project, it’s important to adjust expectations and look for other forms of “return” while you wait for substantial financial results to trickle in.[read more]

The Secret Power of Assuming the Best Intentions

June 1, 2016 by Maggie Fox

A long time ago, a colleague of mine at the startup I founded said one sentence that changed my work life. When you’re considering peoples’ intentions and, “You have to choose between malice and ignorance – always choose ignorance. Most people don’t have time to be malicious.”What he meant was that people are generally too busy to mess...[read more]

Big Data and Day Trading: The Good, the Bad, the Ugly.

May 30, 2016 by George Mount

Read more and subscribe at These days, I can’t check my LinkedIn without seeing something about data science. Everybody’s on CodeAcademy and Coursera, dreaming of that sexiest of job titles: “Data scientist.”I’m all for making data an asset, but I see some troubling comparisons between big data and the day trading...[read more]


NPV Considerations for Open Source Big Data Technologies

May 2, 2016 by Paul Barsch

Net Present Value (NPV) offers a compelling look at whether the present value of cash inflows expected from your proposed open source big data project exceed what’s potentially going out in terms of cash.[read more]

What is the biggest challenge for Big Data? (5 years on)

April 28, 2016 by TonyBain

Five years doesn't half fly when you’re having fun!  In this post from 2011 I highlighted some of the challenges facing the “big data revolution” centring on a lack of people with the right skills to deliver value on the proposition.  Fast forward to 2016 and this not only remains true, but is likely the key issue holding back...[read more]


Building A Smart Workplace For Post-Millennials

February 9, 2016 by Anand Srinivasan

In just a handful of years from now, post-millennials (kids born between 2000 and 2025) will start entering the workplace. This is both an opportunity and a challenge for businesses[read more]


Big Data in the Sports Industry

December 23, 2015 by Trisha Miller

Professional athletes everywhere are being asked to wear tech that will track their every move and download patterns of their stats. Will this help to improve the game or could the usage of big data destroy sports as we know it?[read more]


Could Cloud Based Systems Save the World?

December 14, 2015 by Josh Rose

Big data needs big resources. Big resources have big costs - and not just financially. As technologies improve and the Earth spins faster we find ourselves using and needing more resources for the ever growing amounts of data that have now become ingrained into the everyday functioning of our lives.[read more]

Google’s Acquisition Spree

October 30, 2015 by Nilesh Jethwa

There is a history of partnerships and acquisitions which has made Google a truly successful technology company. Using the list of all Google acquired companies and kpi dashboard tool we illustrate Google's acquisition journey.[read more]


Wasted Breath: Data Alone Won’t Convince

October 19, 2015 by Paul Barsch

As more organizations adopt fact-based decision making, the mantra of “show me the data” is increasingly prevalent. That’s too bad though, because in trying to persuade an audience regarding your point of view (POV), you will need more than data to convince.[read more]


Less Dogma Equals Better Decision Making

August 17, 2015 by Paul Barsch

Some of the biggest breakthroughs come as a result of challenging assumptions; especially those that are commonly accepted. But first you'll need to put processes, systems and people in place to continually overcome preconceived notions.[read more]


A Day Late and Big Data Architecture Short

June 29, 2015 by Paul Barsch

In the mad-dash to “do something” in big data without a strategy, IT managers and business users alike seem to continuously jump on the latest technology (today it’s Spark) and thus become inevitable case studies for Gartner’s well documented hype cycle.[read more]

Top 5 Data Science Masters Programs

June 4, 2015 by Sudhanshu Ahuja

Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 "people with deep analytic skills" as well as 1.5 million "managers and analysts with the know-how to use the analysis of big data to make effective decisions."[read more]