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Analytics

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How ICD-10 Will Unlock a New Market for Data Analysis

April 18, 2014 by Cameron Graham

New market for data analysis.

The current American medical code system obscures a huge trove of data that could dramatically expand the analytics market. The healthcare industry is becoming increasingly interested in data analysis and predictive analytics. From healthcare providers to insurers (and now the federal government as well), every party has an interest in accurately predicting healthcare trends.[read more]

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The Billboard Problem: Why Intelligent Ads Only Live Online, for Now

April 18, 2014 by Samantha Meckler

Billboard.

For centuries, billboard ads have been an ambiguous but undoubtedly treasured way to convert eyeballs into customers. Data-driven business decisions are becoming the way of the world -- and no longer just in theory, so 'guessing as proof' metrics will continue to be exactly what they always have been -- ambiguous and nostalgic.[read more]

An Introduction to Unstructured Data

April 17, 2014 by Radhika Subramanian

Unstructured data.

Organizations everywhere are beginning to feel mounting pressure to collect and store any form of data they can get their hands on. From nonprofits collecting data on the populations they serve to social media giants looking for ways to monetize, data of any kind is the raw good that most organizations this century will look to spin into piles of gold.[read more]

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Digi-lution: How Online Data Can Indicate Civil Unrest

April 15, 2014 by Philip Cohen

Digi-lution!

Saying that the Internet is a medium for change, knowledge, discourse, or even civil unrest is a vast understatement, because it's actually a fundamental medium for these things. As much as a decade ago, different countries, politicos, and countries used the Internet to either launch change or to censor and staunch people pushing change.[read more]

Forget Big Data, We Need Smart Data [VIDEO]

April 14, 2014 by Lachlan James

BI.TV

The interactive portion of this episode directs your attention towards two thought-provoking discussions taking place on LinkedIn. The first conversation was instigated by the question “Why do BI implementations fail?” and can be found on the Business Intelligence Professionals Group.[read more]

SAP HANA Brings ROI of More Than 500% for the University of Kentucky

April 14, 2014 by Timo Elliott

SAP HANA brings ROI.

“The university believes that SAP HANA will help it realize other benefits, such as improved staff utilization rates, efficiencies in budgeting, and even revenue-producing mobile applications, although this study has not quantified these potential benefits because they are less near term in nature.”[read more]

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A Complete Guide to Overcoming Executives’ Concerns about Hadoop

April 13, 2014 by Michele Nemschoff
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Overcoming executives’ concerns about Hadoop.

CEOs are often critical of adopting new technology, and for good reason. New technology is expensive and all too often fails to come through and offer any real value to the company. This could present a challenge for IT managers who want to implement Apache Hadoop, the increasingly popular and cost-effective framework for large-scale, data-intensive deployments, into the company’s technology infrastructure.[read more]

When Machine Learning Isn’t Learning

April 12, 2014 by Bill Franks
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When machine learning isn’t learning.

I have no issue if the market wants to label algorithms that are based on iterative rules as machine learning. I do wonder, however, how many people are just following the hype and do not understand that what they think is an algorithm that is learning and adapting is really just a set of complex rules.[read more]

Defining Business Intelligence 3.0

April 11, 2014 by Lachlan James

Business intelligence 3.0.

So what exactly is Business Intelligence 3.0? Is it a mass of meaningless marketing messages, a collection of multiple BI advancements, or does it represent a single technological shift that many have misconstrued? Well, according to Bill Cabiro, it’s none of the above. Cabiro contends that BI 3.0 represents two things: A changing philosophy regarding BI user types and an amalgamation, or confusion, of terms.[read more]

Equifax Delivers Insightful Analytics for Compliance with Affordable Care Act

April 10, 2014 by Mark Smith

Insightful analytics.

Equifax is dedicating itself to the range of compliance needs to help employers be sure they are doing everything possible to meet their responsibilities regarding regulations like the Affordable Care Act. If your organization is not confident in how it manages these tasks, we suggest evaluating how Equifax can help it establish and maintain compliance.[read more]

What Makes Effective Business Intelligence?

April 9, 2014 by Roman Vladimirov

Effective business intelligence.

Business intelligence can help companies align their marketing, sales and other strategies to better benefit the operation and growth of the business. As technology advances, the options for business intelligence have grown and changed and will continue to adapt to the needs of businesses.[read more]

Analytics Revolution: Why the Struggle for Growth?

April 9, 2014 by Naagesh Padmanaban

Growth.

Big data or new modeling techniques by themselves would not produce a disruptive innovation. The marriage of cutting edge technology and the resulting new innovative analytical techniques that can scale is the winning recipe. This is a keystone for success in analytics practice, yet conspicuous by its absence.[read more]

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The Great Analytical Divide: Data Scientist vs. Value Architect

April 7, 2014 by Richard Boire

Left brain and/or right brain.

The challenge is this so-called divide between the two disciplines . In many cases, solutions are sub-optimal because there is minimal knowledge or understanding of what each role or discipline is intending to accomplish. Much discussion and material has been written about both these roles but the underlying challenge for many organizations is that there is still a knowledge gap between the two disciplines.[read more]

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Gliding through Traffic with Big Data

April 7, 2014 by Gil Allouche

Traffic and big data.

A string of needless red lights and another late arrival at work. We’ve all been the victim of too many red lights. To combat the traffic problem, cities around the world are looking to Big Data and services like Hadoop Cloud, to monitor, evaluate and effect changes in real-time to affected areas.[read more]

Cloudera Makes Hadoop a Big Player in Big Data

April 7, 2014 by Mark Smith

Big data analytics. 

Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop.[read more]