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Data Visualization

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]

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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]

iBeacons, Retail and Information Overload: How Macy's Is Kickstarting Retail's Data Warehousing Needs

November 19, 2014 by Tracey Wallace

Macy's

Macy’s is using iBeacon technology in combination with Shopkick, a location-based coupon dispenser app used by top national retailers, to finally capitalize on what those in the big data and Internet of Things industries have said was long coming: an offline data-driven retail experience.[read more]

Deliver an Excellent Customer Experience Using Big Data

November 7, 2014 by Jason Bowden
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Customer experience and big data.

Customer data and management is an important aspect of any online business. Obtaining a customer insight is crucial to business marketers and the majority of big enterprises are using big data for their business in today’s online marketing industry. IT executives harness the competence of their businesses to deliver high quality customer experience using big data.[read more]

Data Visualization: A Scientific Treatment

November 7, 2014 by Peter James Thomas
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Data visualization.

Imagine an organisation which (as you would expect) tracks the volume of sales of a product or service it provides via a number of outlets. Imagine further that it launches some sort of promotion, perhaps valid only for a week, and notices an uptick in these sales. It is extremely tempting to state that the promotion has resulted in increased sales.[read more]

How to Get Started with Value Add Forecasting

November 6, 2014 by Ray Major

Value add forecasting.

So the promise of using statistical algorithms, forecasting and predictive analytics is now added to the list of a company’s number one priorities. There is a sense of urgency surrounding this new high profile initiative. One may ask, “What’s next?” Well, here are a few steps that you will need to take to deploy your forecasts successfully.[read more]

The Ethics of Data, Visualized [INFOGRAPHIC]

November 3, 2014 by Tracey Wallace

Ethics of data.

Here, we break down how all the world feels about big data, the internet and how these two entities are affecting worldwide privacy and security. Turns out, most people are still are on the fence when it comes to how they feel about data collection and use.[read more]

The 5 Most Common Data Relationships Shown Through Visualization

November 2, 2014 by Sandro Saitta

Data visualization.

As the amount of data available to organizations and marketing departments grows, visualizations of that data are growing more complex. That’s not to say that data visualizations are becoming unwieldy – quite the opposite. The increasing amount of information being displayed in visual form helps viewers understand the often convoluted relationships between ranges of data.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

Descriptive, Predictive, and Prescriptive Analytics Explained

October 8, 2014 by Ray Major
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Analytics explained.

With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making.[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 1, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[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]

Intelligence Input = Sales Output

September 3, 2014 by Ray Major

Test of time.

In my experience many tech professionals, especially the executive ranks, consider themselves forward-thinkers, early adopters, one or two steps ahead, dispensers of wisdom. “If companies or consumers would just take our advice and buy our product or license our app, businesses would run better, people would be happier.” Or some variation on that theme.[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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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]