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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]

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Don’t Let Internal Obstructionists Derail Your S&OP Initiative

September 10, 2014 by Ray Major

Obstructionists.

I recently ran across an article by Tracy Parsons where she identified obstructionist within an organizations as people who are “Paid by the No.” I found that statement to be not only quite funny, but also quite accurate. We’ve all experienced them.[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]

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How to Unlock the Potential in Your Business Analytics

September 4, 2014 by Asha Saxena

Business analytics.

Analytics are your company’s map to success. They highlight profitability and losses so you can recognize which opportunities will put your business ahead of the competition; however, sometimes the most valuable analytics are overshadowed by complicated analytics modeling.[read more]

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A Case for Big Data Analytics as a Service

September 4, 2014 by Mithun Sridharan

Big data analytics.

Business Analytics has assumed such strategic importance that it has evolved from a purely IT activity into a core business activity touching upon various business functions. As a result of this shift in importance, there is an increasing focus on greater speed-to-insight than on platforms or technologies.[read more]

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How GE Is Using Big Data to Drive Business Performance

September 3, 2014 by Bernard Marr

The Big Data Guru column.

General Electric – a literal powerhouse of a corporation involved in virtually every area of industry, has been laying the foundations of what it grandly calls the Industrial Internet for some time now. But what exactly is it? In this post I will try and give a basic overview of the ideas which they are hoping will transform industry, and how it’s all built around big data.[read more]

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Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

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Connecting the Data Dots Keeps These Companies Alive

August 27, 2014 by Tamara Dull

The Big Data MOPS Series.

What do the following companies have in common: Google, Facebook, Twitter, LinkedIn, Orbitz, Airbnb, Angie’s List, Match.com, OpenTable, and Uber? They’re all online; they have no brick-&-mortar presence. If their website or mobile app is unavailable, it’s as if they don’t exist.[read more]

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Big Data Education: Why Learning Will Never Be the Same

August 26, 2014 by Bernard Marr

The Big Data Guru column.

Big data and technology is probably not going to be the panacea for all of education’s woes. I believe that it is critical that we build the technology alongside the vital role of great teachers and not alienate them through the use of data and analytics. In the end, as with every industry, understanding and applying the data and analytics processes to education will yield positive results and ultimately benefit teachers and students.[read more]

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Spark the Flame: The Power Behind Real Time Analytics

August 26, 2014 by Gil Allouche

Real time analytics/Deviantart.net 

Real time data analytics is like a burning fire. Consider this analogy. Once a spark catches, several chemical and physical changes occur. The fuel (data) is processed while heat (or data outcomes) is simultaneously emitted. Once the process of data streaming begins, it is seamless and very efficient. The process will continue to be efficient as long as data is fed into the system.[read more]

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Building Information Technology Liquidity

August 25, 2014 by Paul Barsch

Risky Business column.

In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]

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Data Science: What Companies Need to Know

August 23, 2014 by Kristen Paral

Data science.

Take a look at Google, Uber, Amazon or Airbnb. All of them are utilizing big data and data scientists to derive business insights and making quantum leaps in their respective business models. Many companies don’t understand the full value of what data science can deliver, revolutionizing their big data into actual results.[read more]

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We’re Traveling at the Speed of Cool to Creepy

August 22, 2014 by Tamara Dull

The Big Data MOPS Series.

It is no longer good enough to make the connection or get the account. The challenge now for companies/brands/apps is to demonstrate that they are trustworthy, respectable, and care about safeguarding what customers have shared with them—i.e., their personal data.[read more]

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How Companies Use Big Data Successfully

August 22, 2014 by Jessica Oaks

Big data.

One of the greatest benefits afforded businesses by data analysis is that decisions can be made not based on hunches, but on hard numbers. As soon as a company realizes this, it can start taking concrete steps to address legitimate and documented needs – customer needs, internal needs, logistics needs, and more.[read more]

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Can Fossil Analysis Software Help Us Plan Curriculum?

August 20, 2014 by J. Kevin Byrne

Fossil analysis software.

Paleontologists use (free) software (known as PAST) for their statistical analysis. I bumped into it via key-word web-search to support academic planning I was doing. I offloaded it, took a close look, and I discovered I could use a specific menu within it (hierarchical analysis) to help reconceptualize curriculum at my design college.[read more]

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How Big Data Is Changing Insurance Forever

August 19, 2014 by Bernard Marr

The Big Data Guru column.

Insurers such as Progressive in the US and Prudential in the UK are now pushing for wider acceptance of “telematics” devices, which feed back real-time data on a driver’s behaviour. So young drivers who can demonstrate that they keep within speed limits and do not brake suddenly too often, can pay less.[read more]

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Should the Entire Internet Be Encrypted?

August 19, 2014 by Shawn Gordon

Encrypt all the things!

Until the entire Internet is encrypting all its traffic, solutions like IceBrowser are a good way to protect yourself online. This isn’t about things as mundane as pornography; this is about protecting every piece of information and every footprint you leave out there.[read more]

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Dear Facebook, It’s Not You, It’s Us

August 15, 2014 by Tamara Dull

The Big Data MOPS Series.

Last week, we reached our 7-year anniversary mark. Have we really been together that long?! Because, honestly, it feels like forever. I’m sorry we didn’t celebrate, but I really didn’t feel like it. Ever since you asked me for my home address a few months ago, my feelings have begun to change. You crossed a line, dude.[read more]