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Analytics News & Analysis

Big Data Bits: Data for All Edition

2014-19-May-Data-for-All.jpgSometimes it seems that the market around big data tools and technologies is growing as fast as the App Store or Google Play, except the quality here is much better. There’s no room for B players.

So this week’s edition of Big Data Bits is all about A Players and it comes in two parts.

6 Things to Know About the Internet of Things

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No matter which way you look at it, the Internet of Things (IoT) still has a very long way to go. In fact, if you take a step back and look at it without all of the vendor hype, it's not even entirely clear what exactly it's going to look like. 

The Pew Research Center has tried to remedy that with recent research, interviewing more than 1,600 experts about their visions for the IoT. The result is a fascinating look into not just the shape and form it will take, but also some considerable insight into what technology we will be using in the future. Google Glass, it seems, is only the beginning.

Why Digital Analysis Projects Fail

Good analysis can stall out before it even begins because people do not understand its purpose. This leads to fuzzy analysis projects that take forever to accomplish, have no focus and provide nothing more than a collection of random data points. It’s really painful to witness and can sour your organization on the value digital analysis can provide in guiding your digital initiatives.

There are more than a few reasons why digital analysis projects fail. People mistaking analysis and reports as the same thing or not understanding that there should be a difference are two.

8 Vendors Lead The Business Intelligence Market

The business intelligence landscape is fracturing as it evolves.

In a market once characterized by applications that covered all the bases, cloud computing and the availability of Software-as-a-Service means many vendors are starting to specialize in analytics, data discovery and visualization.

Out of this splintered market, the value of business intelligence applications is forcing vendors to focus on line-of-business support and ease of use concerns.

Why These Six Web Analytics Providers Lead the Pack

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Web analytics providers that offer predictive analytics, support for mobile applications, reach of partner programs and the ability to support customer implementation rank among the best, according to Forrester Research.

Forrester named the best of the best in this space in a Wave report released this week

Adobe, AT Internet, IBM and Webtrends lead the pack with strong web analytics offerings and strategies for the enterprise, according to the Forrester Wave for web analytics. 

Google is a “strong performer” that offers a premium product that’s gaining support for easy-to-use features. 

SAS Institute is a “contender,” offering a customer-intelligence-based alternative.

Hortonworks Buys XA Secure, Redefines Security for Hadoop

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Hortonworks may be making big data history today when it announces the acquisition of XA Secure, a data company that provides a comprehensive security suite for Apache Hadoop.

“It’s a game-changer for Hadoop,” said Tim Hall, vice president of Product Management at Hortonworks. “We’ll (the industry) be moving from fragmented to central security and be able to provide a single pane of glass through which to see who’s authorized to access what … ”

The purchase will initially have a substantial, positive impact on Hortonworks’ customers and technology partners (such as Microsoft, Teradata, SAP among several others) because its current and acquired team of engineers will immediately begin to incorporate the XA Secure technology into Hortonworks’ Data Platform (HDP).

Other Apache Hadoop providers and their customers shouldn’t be too far behind because Hortonworks, following its passion for open source, will concurrently begin to transition XA Secure’s technology assets into an Apache project.

“We are strong believers in the open source community,” said Hall. “It brings in the best and the brightest, it speeds innovation, and delivers quality,” he adds.

It also makes XA Secure free for the taking.

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Microsoft Adds Predictive Forecasting To Office 365

Microsoft promised to bring analytics to a billion screens last February when it finally launched Power BI for Office 365. Starting this week, Office 365 users will be able to do both data mining and predictive forecasting.

According the blog post announcing the upgrade, users will be able to look into the future behavior of their products and business. And they don’t have to be data scientists either. 

Taking CRM to the Next Level with the Internet of Things

With all of the talk about the Internet of Things (IoT), it’s easy to get lost in the possibilities of the future. But right now, as you’re reading this article, you should already be devising a plan to integrate connected devices into your business processes.

Q2/Q3 Planning: Top Marketing Technology, Social Business Conferences & Events (07-May-14)

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Digital Asset Management (DAM) Buyer's Guide
Understand how to evaluate and select a modern digital asset management system.
 

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Breaking (Bad?) SAP HANA Boss Vishal Sikka Resigns

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Great new technologies need genius innovators and passionate advocates.

Think Steve Jobs and Apple, Bill Gates and Microsoft, Larry Ellison and Oracle, Mark Benioff and Salesforce … and then there’s Vishal Sikka and SAP HANA.

While Sikka might not have created HANA in a garage or a dorm room, he was in a leadership position at SAP, in charge of innovation, when it was born. And from then until now, he has been its biggest champion, running around from city to city and client to client, promoting it with passion that is unmistakable and contagious. HANA flows through his blood.

Now he's walking away. Sikka resigned yesterday, triggering a flurry of questions and compliments on Twitter.

 

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How Consumer Collaboration Solved the Case of the Grumpy Fliers

How Consumer Collaboration Solved the Case of the Grumpy FliersBig data can tell marketers what consumers are doing, buying or rejecting. But it cannot tell you why any of those things are happening. This is the story of how a company can turn that data into useful information to drive innovation by actually collaborating with consumers. In this case, the approach helped an airline solve the case of the grumpy fliers. Here’s how:

Gartner Rates SAP Top BI Vendor, Notes Microsoft's Growth

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Just when you thought IT budgets were recovering, Gartner dumps a bucket of cold water on the notion — particularly in the business intelligence (BI) space. According to new research, spending on BI has stagnated again, and it doesn’t look like the situation will improve in the near future.

Gartner rated SAP as the biggest BI vendor by far, followed by Oracle, IBM, SAS and Microsoft. While Microsoft only ranks fifth, it experienced the most growth in the space in the past 12 months, the survey found.

The report shows that the BI market is increasingly dominated by big vendors who are happy to buy whatever technology they need to give them an edge, as is evidenced by the recent purchase of Jaspersoft, an open source businesses intelligence company, by TIBCO for $185 million. 

Is the Big Data Backlash Real?

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Earth be still.  Big data has lost its luster.

Could it be that analyzing terabytes, exabytes and zettabytes of information won’t make us smarter … or, even worse, could it make us wrong?

We’re beginning to see headlines like “Google and the flu: how big data will help us make gigantic mistakes” in the Guardian, “Eight (No, Nine!) Problems With Big Data” in the New York Times and “Big Data: Are we making a big mistake?” on author and Financial Times columnist’s Tim Harford’s site.

If you believe what you read, then big data isn’t the ticket that we once thought it was.

Or, maybe it still is, say a whole host of others. They’ll likely point out that “big data” is simply resting in Gartner’s “trough of disillusionment” at the moment, because, as with most new technologies, the number of failures outweigh the number of successes early on.

So, if you buy Gartner’s theory, we’ll slowly but surely, learn to do big data better, climb out of the trough and onto the Slope of Enlightenment where it will become more and more embraced by the mainstream.

Big data will present us with tremendous new insights, just not quite yet.

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