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How Big Data and Analytics Are Changing Football

July 28, 2015 by Bernard Marr

The use of data in football (or soccer as my American friends prefer to call it) - the most popular sport in the world - has seen huge growth in recent years. The sport is beginning to more fully realize the power of performance analysis and apply objective information more efficiently to gain genuine competitive advantage.[read more]

How to Generate Big Data Revenue Without the Big Investment in a Team of Data Scientists

July 28, 2015 by Larisa Bedgood

If you are like most companies, you know you need to get started with Big Data – and sooner than later. Companies today are more customer-focused, are trying to outpace the competition, and are seeking new ways to grow revenue. These objectives are all fueling the need for Big Data insights.[read more]

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It’s Your Life, Starring Your Data

July 27, 2015 by Tamara Dull
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At a recent EPIC Champions of Freedom privacy event, Apple’s CEO Tim Cook finger-wagged some of his Silicon Valley neighbors—without mentioning names Facebook and Google—on how they were using their users’ data. “They’re gobbling up everything they can learn about you and trying to monetize it. We think that’s wrong. And it’s not the kind of company that Apple wants to be,” Cook said.[read more]

Content Analysis and the Internet of Things: Never Leave the Fridge Door Open Again?

July 29, 2015 by Luca Scagliarini

Things are changing. Our interactions with the devices we employ through our daily lives are becoming more focused on communication. This prognostication seems obvious—people do not communicate via data, systems do. Nor do people process like systems, we process like people.[read more]

The Ultimate Beginner’s Guide to Data Quality and Business Intelligence

July 29, 2015 by Larisa Bedgood

Today’s marketers are becoming technically savvier. They understand the need to improve customer experiences or implement digital marketing strategies to engage consumers across channels. Customer retention and acquisition, Big Data, social media marketing, and content marketing are just a few of the goals and strategies in today’s marketing toolbox.[read more]

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Attackers Are in Your Network: Leverage Big Data to Get Them Out

July 29, 2015 by Mike Potts

Cyber attacks are detrimental to a company's security. Lancope's StealthWatch monitoring system collects and analyses network data to protect a company's information. Monitoring normal network activity allows the system to quickly detect security threats. This initial detection allows for early action in responding to cyber attacks.[read more]

Connecting the Cyber-Threat Dots Through Big Data

July 28, 2015 by Julie Hunt

The managed security services market has been in play for more than a decade. Not surprisingly, it continues to show vibrant growth, fueled in part by cloud-related factors. Research and Markets, in a January 2015 report, estimated that market growth will run from $14.3 billion in 2014 to $31.9 billion by 2019 (with a CAGR of 17.3%). Growth for security services touches just about every industry, and all sizes of organizations.[read more]

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Managing Big Data? Make Sure You Know the Challenges

July 27, 2015 by Gunjan Tripathi
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The ability to collect massive amounts of data has grown exponentially with the advent of the Internet and the number of people who use it. Data collection happens almost as a side effect of other computing activities.[read more]

Actian DataFlow, the Little Hadoop Engine That Could, But Probably Won’t

July 27, 2015 by Paige Roberts

In Hadoop’s ecosystem of massively parallel cluster computing frameworks, Actian DataFlow is an anomaly. It’s a powerful little engine that thinks it can take on any data processing problem, no matter the scale. The trouble is that unlike MapReduce, Tez, Spark, Storm and all of the other Hadoop engines, DataFlow is proprietary, not open source. Having worked at Actian, and Pervasive Software before that, and a little startup ETL software company called Data Junction before that where DataFlow was born, I know way more about this engine than the shiny paint on the surface.[read more]

Data Within and Data Without

July 24, 2015 by Gayle Nixon

The amount of data we have is growing exponentially every day. News alert – that is not a trend! But, a marketer's reliance on many external sources of data, as well as new rules and regulations, is also continuing to increase, and that is creating heartburn and panic in many senior marketing professionals.[read more]

Compensation of Data Scientists: Insights from the Past Year

July 24, 2015 by Linda Burtch

We are pleased to present our update to the first-of-its-kind 2014 report, The Burtch Works Study: Salaries of Data Scientists. This year, we compiled information on 371 data scientists for whom we know compensation as well as in-depth demographic information and job characteristics.[read more]

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The Internet of Things: Realities of an Interconnected World

July 24, 2015 by Emory Paine

The Internet of Things (IoT) is the name for the growing network of physical devices that include embedded sensors to collect and exchange data with users, manufacturers, or other devices. The Nest thermostat, one well-known example, gathers data on home temperature preferences in order to optimize usage. The Fitbit wearable device, which monitors your physical activity, is another common “thing” contributing to the estimated 127 new things connecting to the Internet every second.[read more]

Open Data: Why the U.S. Needs Federal Legislation to Unlock the Secret Dealings of Shell Companies

July 23, 2015 by Joshua New

Just as Congress recognizes open data as a valuable tool for investigating fraud and providing oversight in government, it is time policymakers create better open data on shell corporations to achieve the same in the private sector.[read more]

Predictive Analytics: Investing and Selecting Software Properly

July 23, 2015 by Tony Cosentino

As predictive analytics becomes more widely used, buyers should take a broad view of the design and deployment requirements of the organization and specific lines of business. They should consider which functional areas will use the tools and consider issues involving people, processes and information as well as technology when evaluating such systems. We urge business and IT buyers to work together during the buying process with the common goal of using predictive analytics to deliver value to the enterprise.[read more]

Strategic Methodologies That Will Improve Your IT Department’s Infrastructure

July 23, 2015 by Simon Mitchell

Effectively future proofing your Linux system is the end result of implementing two important strategies throughout your company. These strategies both revolve around your in-house IT team and their skillset. First, you should identify whether or not your IT department has the modern skillset needed to keep up to date with developments in Open Source, Linux and the risk of cyber threats. There are three important roles you should have within your organisation.[read more]

How Big Data is Shaping the Future of the Learning and Development Industry

July 22, 2015 by Brigg Patten

As big data helps to uncover employees’ potential and abilities, employers are able to carefully adapt not only their training methods but also their employee engagement levels and incentives, optimizing both the company’s overall performance as well as employee morale.[read more]

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Top 10 Social Engineering Tactics

July 22, 2015 by Gunjan Tripathi

Social engineering is the process of exploiting the weakest part of your security system: the human factor. Social engineers accomplish their goals by a combination of technical sleight-of-hand, and using personal contact to gain trust. Surprisingly, many of these methods do not use technology at all, or only use technology as an adjunct to personal contact.[read more]

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Is Big Data a Scam?

July 21, 2015 by Bernard Marr

From time to time, you still come across someone with the opinion that Big Data is nothing more than a scam or a fad, which will be forgotten about soon enough. You might not expect to hear this from me, but they’re actually right. Well – half right, at least! I’m not actually a fan of the term “Big Data,” which puts overemphasis on the importance of size.[read more]