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Big Data News & Analysis

Discussion Point: What's the Big Problem With Big Data? [Video]

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Ask 100 people to define big data and you'll get 100 answers, including no answers at all. In theory, big data can help organizations make decisions faster, easier and more accurately. But in practice, faster and easier is just an unrealized goal — and creating business value is often even more elusive.

Riddled with hype and inflated expectations, big data has been nothing more than a nebulous concept for many organizations. 

Rather than successfully analyze a complex set of datasets to discover information that could help teams make better decisions or find new patterns, floods of data often overwhelm the people struggling to make sense of it.

Have Retail Analytics Crossed the Line from Cool to Creepy?

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A body of new solutions for retail businesses promises to both excite and upset consumers. These solutions deliver in-store (or near store) content to consumers that a vendor has decided might want to buy a product in the store.

The drivers are analytics software solutions that crunch data from a plethora of sources -- social, digital, point-of-sale and customer service -- in close to real time.

Consumers are organized into profiles or personas that can be scored by their propensity to buy a particular product at a point in time. Using these profiles, marketing professionals create and distribute personalized content that engages and, in theory, excites consumers enough to prompt a purchase. 

But could the technology just as easily agitate or annoy potential customers?

How Semantic Web Tech Can Make Big Data Smarter

Over the past few years, major enterprises have shown interest in combining semantic web technology with big data for added value. Let's take a look at what enterprises are seeking and why they think semantic web can make big data smarter.

Couchbase Claims It'll Lead the NoSQL Market by 2015

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Don’t tell Oracle's Larry Ellison, but NoSQL databases are the future of the enterprise. Yesterday’s databases weren’t built to handle today’s avalanches of data streaming from social, mobile, web transactions, the Internet of Things and God knows what’s next.

And Couchbase will be the NoSQL database that enterprises who are serious about winning the future will choose, according to Bob Wiederhold, CEO of Couchbase. He said that NoSQL databases have gone through an evolution that began four or five years ago when developers discovered and downloaded technologies like MongoDB to play with at home.

“They liked the ease of development, so they brought them to work and built lightweight applications,” he added.

This was an important period in NoSQL adoption, he continued. It set the stage for 2013 when enterprises decided that NoSQL was ready for prime time and that it could be used for mission critical applications.

“This is when Couchbase took off as company,” he said. “It’s when companies like AT&T, Walmart and eBay began to rely on us, the enterprise NoSQL leader for running high performance mission critical applications."

A Look at the Most Important Trend from Fashion Week

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What's on trend this season for the fashion industry? The answer may surprise you.

Try big data. At least that's what a story I recently read suggested.

When I think of Fashion Week in New York, the last thing that likely comes to mind are data scientists sitting in a front row seat on the runway. But maybe I should change my perspective.

The adoption of big data represents a big step toward changing the operating principles of an industry that has for years represented the antithesis of customer-centricity.

The Line Between Creepy and Effective Marketing

2014-01-September-Creepy-Bob.jpgThere's a fine line between effective, personalized marketing and an eerie feeling that “big brother” is watching. Unfortunately, being creepy is one of the most common perils of data-driven marketing. In an online environment, retailers can observe every single nuance of an individual’s shopping experience.

Q4 Planning: Top Marketing Technology, Social Business Conferences & Events (01-Oct-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: Build vs. Buy Marketing Cloud

Join CMSWire and Tealium on October 14th. In this one-hour webinar, get leading industry advice on marketing cloud technology.
 

> Register Now

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Sounds of Silence Hamper CEOs on Social

Maybe they’re stuck in their ways, busy or just plain shy. Whatever the reason, there’s not much tweeting going on at the top.

A new survey shows that Fortune 500 CEOs aren’t using Twitter and nearly 70 percent shun all five major social media networks. And the decision may be costing them.

Q3/Q4 Planning: Top Marketing Technology, Social Business Conferences & Events (24-Sept-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: Build vs. Buy Marketing Cloud

Join CMSWire and Tealium on October 14th. In this one-hour webinar, learn the techniques to choose a marketing cloud.
 

> Register Now

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Pivotal Revs Its Big Data Play, But There's a Better Story

2014-23-September-Chunyun.jpgWe’ve all heard an earful about the emergence of computing’s third platform, built for a world in which big data, mobile, social, analytics and cloud change the way we live and work. And while, for many of us, the actual impact thus far has been around shopping, dating, getting movie or music suggestions, there are real world examples that are absolute game-changers for large segments of the population.

And Pivotal’s big data platform and Pivotal GemFire, in particular, is powering some of them.

Pivotal GemFire, for anyone who needs a refresher, is a distributed in-memory data management solution for enterprises creating high-scale custom applications.
 

Does Cloudera Need to Cool It?

2014-22-September-Elephant-Fight.jpgA staple gun or roll of masking tape might come in handy today when Amr Awadallah walks in through his company’s doors. The CTO and co-founder of Hadoop platform provider Cloudera mouthed off about the competition to the European press late last week inspiring tweets like “Elephant fight!” The elephant reference, for anyone who may not know, refers to the symbol used for Apache Open Source Hadoop.

Why HP Pulled Autonomy and Vertica into a Big Data Union

2014-22-September-Drum-Duo.jpgHP ended months of speculation on its plans for the Autonomy acquisition in August with the announcement of its Big Data business group, which brought Vertica and Autonomy together on the same platform. 

Badly stung by the Autonomy acquisition, it had taken HP some time to stick its head up over the parapet again. But by pulling together Vertica and Autonomy, it did just that, and a lot more besides.

Keeping Up with Customers in a Cross Channel World

2014-18-September-Running.jpgA decade ago, it would have been safe to assume that you were reading this through an internet browser. Gathering data on your reading habits was fairly straightforward in those days because your browser yielded information that was relatively complete, especially when you consider the rather small universe of digital media then.

Times have changed. Today, the browser is just one of many places where customer behaviors and interactions can be captured. As the universe of channels, touch points, and devices expands, so has the browser’s importance begun to shrink. Brand marketers who won the battle for the browser were the biggest winners in the past. Today, and in the future, the successful brand marketers will be those who move beyond the browser and follow their customers into a cross channel world.

Dirty Data Be Gone, Check Out CrowdFlower

2014-17-September-Dirty-Cat.jpgTalk to one of those high priced data scientists about their data and you’ll see something quite astounding: they really, really care about it. It’s almost as if it was a garden they were tending or a scruffy, homeless kitten they’ve taken in to raise.

While the sentiment might initially sound ridiculous, it isn’t. Data fuels their work (and the insights that inform yours). And if you pair dirty or poorly labeled data with the best trained models and finest algorithms, it’s a waste of time and energy. The knowledge gleaned will be worthless, at best.

Is IBM's Watson Analytics All That?

2014-17-September-Computer-Watson.jpgIf we got a dollar every time someone told us that they’re democratizing big data, we’d have a hundred dollar bills, and that’s just so far this week.

So when an IBM representative sent a note saying that it was making Watson Analytics available to everyday business users to let them ask questions in plain language and get big data informed answers back in short order, our hearts didn’t patter too much. Even when they said we could try it for free.

After all, we’ve sat side by side, live and in person, with vendors who make big, big data analytics promises. And when we’ve said “Show me, turn me into a data scientist, big data analyst, heck, even novice user,” they haven’t been able to do it.

And maybe it’s us, but more than likely, here’s the deal -- in most cases, these vendors don’t include people like us (non-data workers) as citizens of their democratic, big data republics. And that’s fine, as long as we define that from the start.

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