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Big Data

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CAPEX Deferred Eventually Makes the Company Sick

September 22, 2014 by Paul Barsch

Risky Business column.

Instead of investments in IT, machinery, buildings and more, CEOs and CFOs are content to predominantly spend cash on stock buy-backs and/or dividends. Deferring CAPEX spend, or “sweating the assets” will work for a little while, but it’s not a strategy for long-term success.[read more]

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Big World, Big Data: The Modern Day Impact on Traditional Industries

September 22, 2014 by Monte Zweben

Big data.

While Big Data has the power to change the world, you have the opportunity to use it to change your own operations. Incremental, data-driven change may not get the headlines, but it could get your business to the head of its field.[read more]

Why Are Organizations Still Struggling with Their Data?

September 20, 2014 by Lyndsay Wise

Struggling with data.

The data infrastructure exists to support Big Data, operational data streams, data quality practices, and the list goes on. Best practices exist for organizations to follow to achieve a strong information management framework and tie data to business processes enabling decision makers the ability to take actions on the insights they’ve gleaned.[read more]

How to Achieve Big Success from Big Data [INFOGRAPHIC]

September 19, 2014 by Mark van Rijmenam

Big success from big data.

A new study revealed that companies with Big Data experience are satisfied with business outcomes and that Big Data is revolutionizing the way companies do business. In fact, 92% of the companies surveyed are fully satisfied with the business outcomes of their Big Data initiatives.[read more]

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Potential Hurdles Limiting the Internet of Things

September 19, 2014 by Rick Delgado

The internet of things.

The hype surrounding the Internet of Things (IoT) is immense. The basic premise behind the IoT is to connect everyday objects to the internet through tiny sensors, allowing them to communicate with businesses, consumers, and each other.[read more]

Big Data Proves Mobile Is Where Your Audience Is: Where Are You?

September 18, 2014 by Tracey Wallace

Mobile phone.

In 2012, Americans spend just 6% of their media diet with print, but that those pages attract 23% of all ad spend. Mobile, on the other hand, took up 12% of the typical American’s media diet, yet only pulled in 3% of all ad spend. That left a whooping $20B opportunity in mobile advertising revenue alone.[read more]

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Big Data: 20 Free Big Data Sources Everyone Should Know

September 16, 2014 by Bernard Marr

The Big Data Guru column.

Any company, from big blue chip corporations to the tiniest start-up can now leverage more data than ever before. Many of my clients ask me for the top data sources they could use in their big data endeavour and here’s my rundown of some of the best free big data sources available today.[read more]

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5 Keys to Successfully Using Big Data

September 16, 2014 by Rick Delgado
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Successfully using big data.

Simply going out to collect data can lead to a business gathering massive amounts of information with little purpose or direction. All companies interested in big data should have a clear goal in mind before collecting that data. With a goal to work toward, companies will know what kind of data they should be going after, helping them form a more defined big data strategy.[read more]

12 Data-Driven Cities Making the Internet of Things a Reality

September 16, 2014 by Tracey Wallace
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Sondo, South Korea.

These top cities are putting data to real use. Some are only ideas, some are helping to rebuild what once was and some are just out for making history. All the same, each and every one of the cities on this list are out to save lives, change their current economies and architectures and truly make an impact on our world and our collective future.[read more]

Big Data and Ford's Faster Horses

September 15, 2014 by Arent van 't Spijker

Horse? Or horseless carriage?

In the late 19th century, a New York City planner put out a warning that by 1950 the city would be completely uninhabitable. The problem, as he saw it, was that at the current growth rates the city would not be able to sustain the growing number of horses.[read more]

Top 5 Things Recruiters Should Ask Their Big Data

September 13, 2014 by Trips Reddy

Recruiters. 

The human capital of any company truly is one of its most valuable assets. But unlike the technological advances in marketing, customer support and sales, recruitment at most companies hasn't seen significant improvements that support analytics-driven, evidenced-based talent acquisition.[read more]

Prepare to Be Amazed by Immersive Intelligence

September 12, 2014 by Bill Franks

Immersive intelligence.

The range of immersive visual worlds that can be created is limited only by the types of data that exist and how that data can be utilized. In other words, it is virtually limitless. There is no doubt that immersive intelligence is still an edgy idea that hasn’t been widely adopted. However, the technology is here to make it possible and I suspect we’ll start seeing more of it soon[read more]

5 Levels of Big Data Maturity in an Organization [INFOGRAPHIC]

September 10, 2014 by Mark van Rijmenam

Big data maturity.

Once the IT department is capable of working with Big Data technologies and the business understands what Big Data can do for the organisation, an organisation enters level 3 of the Big Data maturity index. Business adoption will result in more in-depth analysis of structured and unstructured data available within the company, resulting in more insights and better decision-making.[read more]

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The Top 10 Big Data Quotes of All Time

September 9, 2014 by Bernard Marr
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The Big Data Guru column.

Over the years of working in the field of analytics and big data I have collected thousands of quotes and snippets highlighting both the transformational nature of the phenomenon as well as many of the perils. A client has recently ask me to send him my top 10 big data quotes of all time and this is the list I came up with.[read more]

Non-Consensual User Data Tests Violate Fundamental Rights

September 9, 2014 by Tracey Wallace

Your data.

It might sound cliche, but what big data needs is the enforcement of the Golden Rule: treat my data as you would want yours treated. For most people, that means allowing for the ability to consent to a study, or opt-out of collection entirely if they so choose.[read more]