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Business Intelligence


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]


Amazon: Using Big Data Analytics to Read Your Mind

February 6, 2014 by Bernard Marr

The Big Data Guru column.

This post looks at Amazon's ability to use big data to predict what we will buy in the future. It discusses Amazon's latest patent filing around anticipatory shipping and the implications of increasingly accurate big data analytics.[read more]

BI Greatly Informs Decision-Making

February 5, 2014 by Roman Vladimirov

BI informs decisions.

Companies that have not taken the leap toward deriving the best possible value from their BI – or think that their current BI platforms aren't up to the task – should strongly consider adopting these methods, or looking for new software that can truly fulfill their needs.[read more]


Sales Pipeline Management Dos and Don'ts

February 4, 2014 by Thomas Oriol

Sales pipeline management.

There are lots of sales methodologies in the market. As the makers of award-winning sales pipeline analysis and forecasting application SalesClic, we are familiar with most of them. Here are, distilled in a list of dos and don’ts, their main prescriptions.[read more]


How MapR’s M7 Platform Improves NoSQL and Hadoop

January 31, 2014 by Michele Nemschoff

MapR’s M7 platform.

M7 removes the trade-offs organizations typically face when looking to deploy a NoSQL solution. Here’s a look at how the M7 platform is making NoSQL and Hadoop easier, faster and more dependable. Since enterprises already have several disparate data systems, having the ability to unify NoSQL and Hadoop under a single scalable cluster eliminates data silos and provides administrative simplicity.[read more]

Getting Real Value from BI Investments

January 31, 2014 by Lyndsay Wise

BI investments.

Many organizations struggle with their data. Whether those without any structured analytics or data management practices, as well as businesses with mature BI infrastructures, there are always gaps to visibility. Data volumes are on the rise, companies expand their business models or provide new services, and the way in which data can be managed and processed is constantly evolving.[read more]

Vertical Cloud Computing Providers Arrive for Financial Services Industry

January 30, 2014 by Alok Misra

Vertical cloud computing in 2014

The cloud’s main story so far has been one of horizontal providers, such as, Microsoft and Amazon, offering one-size-fits-all solutions. While these providers had some success in the financial services sector, their products weren’t specialized enough to address the need of asset managers or bankers.[read more]