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Big Data

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Changing Your Mind About Big Data Isn’t Dumb

December 8, 2014 by Paul Barsch

Risky Business column.

While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]

Data Innovation in Africa

December 6, 2014 by Travis Korte

Africa.

While many commentators have focused on data-driven innovation in the United States and Western Europe, developing regions, such as Africa, also offer important opportunities to use data to improve economic conditions and quality of life. Three major areas where data can help are improving health care, protecting the environment, and reducing crime and corruption.[read more]

How Big Data Impacts the World of Patents

December 3, 2014 by Mark van Rijmenam

Patents and big data.

Patents and Intellectual Property are gradually gaining significance around the world. This is leading to a bottleneck–large databases and ever growing information. Read on to find how Big Data analytics can show a way out.[read more]

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Big Data: The 3 Essential Investments You Must Make

December 2, 2014 by Bernard Marr

The Big Data Guru column.

Big data can bring big benefits to businesses of any size. However as with any project, proper preparation and planning is essential. You’ll need to invest in some tools to do the job – collect, store and analyze data – to achieve the ultimate objective of gleaning insights which will lead to better decision-making and improved performance.[read more]

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How Data Visualization Can Benefit SMBs

December 1, 2014 by Cameron Graham
1

Data visualization.

Data visualization is a term mostly associated with big brands and corporations. Companies like Target, Deloitte, GitHub and Time Warner Cable all use data visualization tools to analyze and interpret information about their customers, allowing them to better target their marketing and sales efforts, improve internal processes. For many small businesses, data visualization is still a foreign concept.[read more]

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How Big Data Can Revolutionize the ECM Industry

December 1, 2014 by Anand Srinivasan

Electronic Content Management.

A truly semantic web may not be possible unless there is a desperate need for businesses to implement them on their websites. And that is only going to come from the evolution of the enterprise content management (ECM) industry.[read more]

Big Data Ethics and Your Privacy [INFOGRAPHIC]

November 29, 2014 by Mark van Rijmenam

Internet saturated nations

Unlike a few years ago, a lot more people understand that services like Google, Facebook or Twitter are not free of charge, but are paid for with our data. How do we feel about that? How do we feel about privacy and security? And what are some of the common Internet values related to privacy?[read more]

The Must-Have Skills You Need to Become a Data Scientist

November 26, 2014 by Linda Burtch
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data science

I wanted to put together a list of technical and non-technical skills that are critical to success in data science. Every company will value skills and tools a bit differently, and this is by no means an exhaustive list, but if you have experience in these areas you will be making a strong case for yourself as a data science candidate.[read more]

Data Quality: The Secret Assassin of CRM?

November 25, 2014 by Martin Doyle
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Data quality

There’s a silent virus lurking in many CRMs. It’s a virus that slowly gets a foothold in the system, then slowly starts to deprive it of oxygen, choking it until it can no longer breathe. As the CRM starts to suffer, the business starts to falter. So what is the virus? The secret assassin of the CRM? It’s poor quality data.[read more]

The Future of Big Data, Visualized [INFOGRAPHIC]

November 24, 2014 by Tracey Wallace

Future of big data

We'd start a public petition for blog posts about big data to stop using the "every day, we create 2.5 quintillion bytes of data" stat if we could. In this infographic, we break down how the industry has changed over time, and show the projected path for the years to come.[read more]

How to Drive Real-Time Revenue in the World of Big Data

November 24, 2014 by Larisa Bedgood

Data – we are bombarded daily with messages, statistics, news, and slogans such as “Big Data is a Big Deal”. In fact, some of us can start rattling off numbers from memory. The buzz isn’t going away any time soon because in truth, Big Data is a Big Deal.[read more]

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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]

Three Challenges Europe Faces in Becoming a Competitive Big Data Market

November 21, 2014 by Mark van Rijmenam

Europe / shutterstock

The European Commission is working hard on developing a competitive European Big Data market. Last week, as a result of this, the European Digital Forum convened the High-Level Roundtable on Europe’s Digital Future. Here's my vision of how Europe can enable forward-looking, data-driven startups to unleash the vast potential of data.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

First Look: Dataiku’s Data Science Studio

November 20, 2014 by James Taylor

Dataiku

Dataiku, a company founded in 2013 and based in France, launched their product, Data Science Studio (DSS), in February 2014. The product is designed to improve the effectiveness and productivity of data teams especially when it comes to turning raw data into an analytic API.[read more]