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Decision Management

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Big Data Is Nothing Without Its Little Brother

March 18, 2014 by Bernard Marr
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The Big Data Guru column.

This posts outlines why big data is nothing without little data, or the KPIs that companies use to measure success. It looks at 3 big data use cases and outlines that value of any big data initiative can only be assessed in the context of well defined performance metrics.[read more]

Gartner BI and Collective Insight

March 10, 2014 by Timo Elliott

Collective insight.

The most interesting trend of the year is the flow-through of predictive into standard BI workflows. I want to find out more about how customers are getting the value of predictive as part of a broad program, rather than just being used by “geeks in a corner,” or within specific applications.[read more]

Transforming Fragmented Decision Making

February 13, 2014 by Julie Hunt

Square peg in a round hole.

Many midsized organizations are uncertain about how to proceed with business intelligence and analytics – or if they should even jump in. But if these organizations fail to include various data analytics as inputs to strategic and tactical decisions throughout the enterprise, they may be blocking their abilities to compete, grow and keep pace with dynamic market and economic changes.[read more]

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A Billion Dollar Purchase: Why Google Bought Nest

January 29, 2014 by Philip Cohen

Why Google bought nest.

When Google recently purchased Nest, a company specializing in home automation tech like thermostats and smoke detectors, people read the news with puzzled faces and scratched their heads. Add the fact that the deal went down for $3.2 billion and you're likely to assume that Google has much more money than it knows what to do with.[read more]

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How 250 Milliseconds in Added Latency Can Ruin Online Sales This Holiday Season

December 25, 2013 by Michele Nemschoff

Don't lose sales!

Many businesses weather the holiday shopping blitz by utilizing digital tools to increase marketing effectiveness. What many businesses don’t realize, however, is that they could be funnelling their customers to a digital presence that can be slow and unpredictable in response times.[read more]

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3 Tips for Selling Your Boss on Big Data

December 19, 2013 by Gil Allouche

Big Data pros (thetaxhaven/Flicker)

The key to promoting big data to the higher-ups is to appeal to what they care about most, which means focusing on how analytics will benefit the company’s bottom line. With that tactic in mind here are three tips for selling your boss on big data as a service.[read more]

Turning Decision Making Into a Game

December 19, 2013 by MIKE20 Governance Association

decision making / shutterstock

Organizations are more complex today than ever before, largely because of the ability that technology brings to support scale, centralisation and enterprise-wide integration. One of the unpleasant side effects of this complexity is that it can take too long to get decisions made.[read more]

SOA for Process and Data Integration

December 16, 2013 by Barry Devlin

business intelligence / shutterstock

I have been discussing Service Oriented Architecture (SOA) at seminars and conferences for many years now. But every time I'd mention SOA, the sound of discontent would rumble around the room. Too complex. Tried it and failed. And, more recently, isn't that all old hat now with cloud and mobile?[read more]

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Be Wary of the Science of Hiring

December 10, 2013 by Paul Barsch
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Risky Business column.

While reliance on experience/intuition to hire “the right person” is rife with biases, there’s also danger in over-reliance on HR analytics to find and cultivate the ultimate workforce. While HR analytics seems to have room to run, there’s still the outstanding question of whether “the numbers” matter at all in hiring the right person.[read more]

The BI Collaboration Challenge [VIDEO]

November 20, 2013 by Lachlan James

BI.TV is your vendor agnostic fortnightly recap of global BI and analytics news.

Episode nine of BI.TV explores a series of opinions, best practice advice and research around five key analytics areas, including Collaborative BI, Dashboard design, Mobile BI delivery, Big Data uptake and engagement, and executive level reporting.[read more]

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How Big Data Will Change People Management Forever

November 19, 2013 by Bernard Marr

The Big Data Guru column.

Big data will have an impact in so many business areas. In this post I look at how big data is used in people management (or HR) settings to change the measurement, analysis and management of people forever. I believe big data can make a real impact in the area of people management, but only if companies invest in building the big data and analytics skills and expertise now.[read more]

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Big Data Warning: There Will Be Many Job Casualties!

October 22, 2013 by Bernard Marr
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Most will agree that big data is going to change the world, but what will be the impact of big data on the job market? How safe is your job? This post looks at what jobs are at risk when you combine big data analytics with robotics and artificial intelligence. You might be surprised about the revelations.[read more]

It's Past Time for the Next Generation of Business Planning

October 15, 2013 by Robert Kugel

Business planning as practiced today is a relic, a process hemmed in by obsolete conceptions of what it should be. I use the term “business planning” to encompass all of the forward-looking activities in which companies routinely engage, including, for example, sales, production and head-count planning as well as budgeting.[read more]

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3 Secrets of a Successful Business Intelligence Strategy

October 7, 2013 by Matillion BI

Ready to be shocked? Many of business intelligence strategies are flawed - focusing on the wrong things, in the wrong order, and going about delivering an ROI in the wrong way. The bottom line: the best business intelligence strategy strives to keep business intelligence focused, benefit-led, and affordable.[read more]

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Danger: 3 Reasons to Be Scared of Big Data

September 24, 2013 by Bernard Marr
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This post tackles the dark side of big data and outlines 3 scenarios in which big data analytics can be used for good or evil. The big concern I have is what happens when, for whatever reason, the government or powerful companies turn evil? I feel that this is such an important debate to be had and one that many data and analytics experts and vendors seem to shy away from.[read more]