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Big Data

What Big Data Can Do for the Legal Industry [VIDEO]

April 21, 2014 by Mark van Rijmenam

Big data and the legal industry.

There are several ways that Big Data can help the legal industry. Ranging from using data to improve client acquisition and retention to using predictive analytics in order to become better lawyers and predict case outcomes. Although it might seem that nothing within law is truly Big Data in volume perspective, but by combining different data sets the legal industry can still benefit a lot from Big Data.[read more]

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A Brazen Expose on Big Data in the Government Sector

April 19, 2014 by Lillian Pierson

Big data in the government sector.

Good, strong, data-savvy leadership is the answer to the government data woes. Government leaders are the only ones that have the power to mandate and enforce effective adoption of data driven decision-making at the managerial level. Leaders will have to mandate IT to let internal business analysts, staff, and managers have and use their data freely.[read more]

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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]

Disaster DIY: The Argument to Build or Buy Data Integrity Controls

April 17, 2014 by Kristen Paral

It’s a question of “build versus buy” and the answer is fairly straightforward. When it comes to end-to-end data accuracy – not to mention valuable reporting and dashboard tools – building your own software to monitor data integrity could be a Disaster DIY project of its very own.[read more]

Data Collection Made Simple [VIDEO]

April 17, 2014 by Tracey Wallace

Simple data collection.

Activation apps put the power of smart data collection into the hands of executives, while maintaining user security and privacy. The concept is simple: allow companies to utilize social authentication absolutely anywhere they so chose to collect identity data information in less than half and hour, and without having to involve a tech team.[read more]

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A Guide to Maintaining Consumer Trust When Using Big Data

April 16, 2014 by Gil Allouche

Consumer trust and big data.

With the ever-increasing occurrence of data breaches in different companies and sectors across the world, consumers are becoming more and more concerned about their privacy and how companies are using and protecting the consumer information they gather.[read more]

Big Data Needs to Work Toward Security Solutions Now Before It’s Too Late

April 15, 2014 by Tracey Wallace

Big data and security solutions.

In the effort to protect data rights, transparency is key. What will you be doing with a user’s data? How might that change overtime? How will you alert users to data breaches (if it happens) or changes in your use policy? In protecting data rights, your users become an extension of your brand — and thus an asset to secure.[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]

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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]

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]

How Big Data Centers Impact the Environment [INFOGRAPHIC]

April 9, 2014 by Mark van Rijmenam

Big data centers and the environment.

Big Data requires massive data centres to store all the data that we collectively generate. These data centres require a lot of electricity that has a big impact on the environment. So how do companies such as Microsoft, Amazon or Google ensure that their data centres are environmentally friendly?[read more]

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The Case for Using Data Virtualization for Big Data Analytics

April 8, 2014 by Rick Delgado

Data virtualization.

Analyzing big data is now an important part of business operations, and it requires significant time and resources to better understand and apply the solutions that big data offers. One developing technology that is greatly simplifying this process is virtualization, specifically data virtualization, which is allowing businesses in increase their value while turning big data analytics into an important enterprise tool.[read more]

NICE Delivers Customer Interactions with Next Generation Workforce Optimization

April 8, 2014 by Richard Snow

Customer interactions.

In my research of NICE Systems for several years I have remarked often that its biggest challenge is to integrate all the products that now make up its Customer Interaction Management suite. Through acquisitions, in-house development and partnerships, this suite has grown to include interaction recording, quality management, workforce management and many others.[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]