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Business Intelligence


Making Machine Learning Work for Business

March 24, 2014 by Rick Delgado

Machine learning works for business.

Machine learning is a type of artificial intelligence that takes vast amounts of data and makes sense of it. Many businesses have started turning to machine learning as a way to sort through their collected data, streamlining their work and improving the customer experience.[read more]


Big Data Is Nothing Without Its Little Brother

March 18, 2014 by Bernard Marr

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]


Collaboration in the Cloud: The Continuity Advantage

March 13, 2014 by Jessica Oaks

Collaboration in the cloud.

Real-time communication doesn’t always seem quite fast enough, not in an economy where the most successful businesses have to not only meet current demand but anticipate future customer needs. Accessibility to the right collaboration tools and applications, no matter where the users are physically located is a critical part of the equation to harness company intelligence to predict future demand.[read more]

Architecting Big Data Solutions

March 12, 2014 by John Sanders

Big data solutions.

In this article I would like to outline, at a high level, the overall thought process for "architecting" big data solutions. The process of developing an architecture is a very personal thing. I don't propose to say that this is the only way - this is simply a framework from which you could launch your own effort.[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]


6 Simple Steps to a Big Data Strategy

March 5, 2014 by Bernard Marr

The Big Data Guru column.

We now live in a world in which the volumes of data are exploding by the second. While some companies are leveraging these data assets very well to generate mouth-watering competitive advantages, most are completely overwhelmed by the amounts of data they are generating and are simply scratching the surface of the other, external data they could use.[read more]


Technology Training Needs a Hands-On Approach

March 4, 2014 by Paul Barsch

Risky Business column.

Instead of simply a “core dump” of manuals and online training courses, technical employees should also get “hands on” simulations, boot camps and courses led by advanced robo-instructors to fully hit the ground running[read more]

What Does a VC Look for in a Big Data Startup? [VIDEO]

February 27, 2014 by Todd Nevins

Big data and venture capital.

Venture Capital firms and Angel investors pumped in over $3.6 billion into Big Data startups in 2013 and investments this year are expected to top this figure. Jake Flomenberg started writing code and managing products with Lockheed Martin and Cloudera before moving into a role with Splunk.[read more]

7 Important Types of Big Data

February 26, 2014 by Michele Nemschoff

Types of big data.

Big data is a term thrown around in a lot of articles, and for those who understand what big data means that is fine, but for those struggling to understand exactly what big data is, it can get frustrating. There are several definitions of big data as it is frequently used as an all-encompassing term for everything from actual data sets to big data technology and big data analytics.[read more]

Advanced Analytics Offers New Opportunities for Growth

February 20, 2014 by Roman Vladimirov

Analytics and growth.

When it comes to business intelligence, advanced analytics provides companies big and small with the ability to get a more in-depth insight into their data. This can create profitable advantages especially when the big data is mined for information pertaining to customer bases, marketing strategies and other profit-generating information.[read more]


Facebook's Big Data: Equal Parts Exciting and Terrifying?

February 18, 2014 by Bernard Marr

Big Data Guru column.

This post looks at the gigantic big data repositories Facebook is creating and discusses the exciting as well as terrifying opportunities to exploit that big data. The question is, does big data analytics put too much power in the hands of a commercial company like Facebook?[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]

How Big Data Could Facilitate Selective Perception Marketing

February 13, 2014 by Mithun Sridharan

Selective perception marketing.

Today, customers are bombarded with marketing messages across diverse channels and these messages do not resonate with them. By understanding the customers’ perceptions, a company could customize its value proposition so that they are well received by its target audience.[read more]

Self-Service BI Is About More Than Interactivity

February 7, 2014 by Lyndsay Wise

Self-service BI.

Organizations constantly struggle with their data. Integrating, managing, and verifying data sources are continuous exercises required for businesses looking at ways to increase their competitive advantage and understand what is occurring within their organization’s daily operations.[read more]


NoSQL Vs. RDBMS for Interactive Analytics: Leveraging the Right and Left Brain of Data

February 6, 2014 by Soren Riise


Comparing NoSQL and relational databases is lot like comparing the left and right sides of the brain. Too much focus on structural differences and attributes can overshadow the fact that we’re stuck with both sides of the brain and we need both to make the best use of sensory data.[read more]