Analyzing your Analytics

January 26, 2016

In all my travels to hundreds of customer meetings, one theme pulses through them all like ocean waves: scalability.   Every corporation I visit is challenged by the increasing scale of data and their ability to wrench value from it.  New kinds of data arrive every month and analytics have entered the board room as a… Read More »

Hacking IoT: Fast-Tracking Transformational IoT Solutions

December 18, 2015

A lot has been written and said about the Internet of things – billions (and growing) of devices connected to us, and to each other. The noise is almost deafening and sometimes hard to decipher. All of the devices, sensors, networks, standards, security, business processes, people and use cases layer on top of one another,… Read More »

Data-Driven Insights Are All Around Us – Are You Listening?

October 19, 2015

Every single business on the planet is in the position to generate and collect absurd amounts of data. There are dozens of great stats about the explosion of digital information. The one that I like, from analyst firm IDC, published in its Digital Universe study, claims that digital data produced will exceed 44 zettabytes in… Read More »

Is Your Business Agile? These Three Ways Can Help You Find The Answer

September 2, 2015

I dedicated a recent blog post on the definition of the word “agility,” and for good reason. Finding ways for your business, and the analytics it runs on, to become and remain agile, even at global scale, is no small task; but the payoff is huge in terms of gaining competitive advantage in existing markets and leveraging… Read More »

Three Ways to Run Your Global Business With Startup Agility

August 12, 2015

My whole job is about helping big companies fully leverage big data analytics, and I’ve written specifically about a new Sentient Enterprise capability model to help businesses scale their analytic architectures and insights as they continue to grow. In doing so, even large firms can preserve the agile and opportunity-driven playbook you’ll find at the heart of… Read More »

Is Your Data Lying to You?

August 6, 2015

As companies strive to become more agile in today’s ever-changing business world, a common theme is getting data faster and, in turn, getting insights from data faster. That’s where the notion of schema-free queries often comes in, where all sorts of unstructured data goes into files in Hadoop (Hadoop Distributed File System w/ e.g. HIVE or Drill… Read More »

The Future Of Hadoop Is Cloudy, With A Chance Of Growing Ecosystem

July 15, 2015

Some may argue that there are only three certainties in life, death, taxes and Hadoop. In its report on Hadoop predictions for 2015, tech analyst firm Forrester, calls Hadoop a “rising star” in data analytics and claims “Hadooponomics,” the economics of storing and analyzing data in Hadoop, as the trigger that feeds a robust ecosystem of new tools… Read More »

The Secret to Big Data Analytics Success Comes Down to One Word

July 1, 2015

Those of you who follow me know I am always evangelizing on the “Sentient Enterprise” capability maturity model for analytics that I co-developed with the Kellogg School of Management’s Dr. Mohanbir Sawhney. I tell anyone who will listen how one word – agility – is key to getting an enterprise to the “sentient” point where… Read More »

Struggling to Get Faster Data-Driven Insights? Take this Lesson from the Telecom Industry

June 17, 2015

Sometimes we can overcome dilemmas in one sector by looking to entirely different industries for challenges met and lessons learned: The context may be different, but the insights and solutions can be strikingly similar. That’s certainly the case for big data analytics as we seek to loosen IT roadblocks, democratize data access and break down… Read More »

Will Data Anarchy Shut Down The Big Data Revolution?

June 4, 2015

I wrote in my previous post how companies should try to to cultivate a LinkedIn-style culture of collaboration around analytics so business users throughout the organization can stay engaged, energized and accountable when it comes to data. I included the caveat that this do-it-yourself urge among employees to innovate and experiment should be harnessed, but only if you can… Read More »