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Analytics News & Analysis

If Hadoop Disappears, Will the Label on Your Distro Matter?

2014-24-October-Elephant-Family.jpgIn the next year we’ll see Hadoop disappear, so said Cloudera co-founder and chief strategy officer Mike Olson in his keynote at the O’Reilly Strata + Hadoop World conference last week.

Olson has a way of saying things that cause a reaction. Last year it was his introduction of the Enterprise Data Hub that took everyone off guard, and this year it’s the promise that the big data muncher named after an elephant in a storybook will practically vanish from the line of sight of all but a few geeks.

You’d think that if it were invisible and it was all open source then the brand of Hadoop used might not matter so much.

The Truth About Competitive Analysis

2014-23-October-Pitch.jpgAs I write this, the World Series is about to get underway, which reminds me of a famous quote by Satchel Paige, one of the greatest baseball pitchers in history:

"Don't look back. Something might be gaining on you."

And think about how a runner on first base can disrupt the pitcher’s concentration from throwing a strike to a batter.

The result in both cases? Distraction from what you’re trying to accomplish.

Adobe, Nielsen Partner to Measure Digital Content Consumption

2014-23-october-watching-tv.jpgThe company that invented TV audience measurement is partnering with Adobe to tackle one of the thorniest problems of the digital age for broadcasters and video content creators: How do you measure and monetize TV ratings on a tablet?

Nielsen and Adobe announced a strategic alliance this week that's designed to deliver what the companies describe as "the industry’s first comprehensive, cross-platform system for measuring online TV, video and other digital content across the web and apps." 

The collaboration integrates Nielsen’s digital audience measurement products with Adobe's digital analytics and online TV delivery platforms. Through the arrangement, the two companies will jointly market Nielsen's Digital Content Ratings, Powered by Adobe, to deliver analytics and content metrics that "enable smarter buying and selling decisions," Nielsen boasted in a statement.

Data from the new service will be available in the Adobe Marketing Cloud, providing brands a way to use the data to optimize their marketing campaigns.

CMSWire Tweet Jam: Extracting Business Value From Big Data #CXMChat

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Big data may promise to carry businesses to the next level, but there's still a lot of confusion surrounding it. What's the happy medium between data driven personalization and appearing downright creepy? What tools and processes help businesses get the most out of the data they're collecting? Find out during tomorrow's Tweet Jam.

Big Data Projects: Developing Vision and Business Requirements

2014-23-October-Waiting.jpgDeveloping a big data program requires alignment of the objectives of the initiative with the needs of the business. Usually it is the other way around -- start with business needs. Because many of these programs are stood up by the technology organization, the business may not have enough understanding of what is possible to articulate their needs in a big data context.

Gain a Competitive Edge Through Big Data: 4 Use Cases

2014-22-October-Rainy-Day-Race.jpgToday’s data-driven companies have a competitive edge over their peers. How? They are generating breakthrough insights by bringing together all of their structured and unstructured data and analyzing it together.

When you can analyze a large amount of data as a single set -- rather than separate silos -- you can uncover significant insights that would be impossible to get from traditional business intelligence. And it’s these breakthrough insights that are giving companies a serious competitive advantage.

Yet while most organizations understand the value of analyzing big data to stay ahead of the curve, they often struggle to apply these data insights to business situations that matter most. So what are the most lucrative and effective use cases for big data analytics?

Q4 Planning: Top Marketing Technology, Social Business Conferences & Events (22-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: The Survivalist's Guide to Data-Driven Marketing

Join CMSWire and Marketo on October 28th for a one-hour webinar on the best practices you may be missing in your marketing campaigns.
 

> Register Now

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ThoughtSpot Wants to be the Tesla of BI

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BI solutions have been around for decades, but they’ve never really taken root.

Don’t take our word for it. Consider this from Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms report. Speaking of the BI platforms, the authors wrote: “They were never fully embraced by the majority of business users, managers and analysts, primarily because most considered these too difficult to use for many analytical use cases.”

And in a world where the future belongs to those who leverage information best, this is a problem that few companies can afford to live with.

Needless to say, there are a number of BI vendors who are trying to change that. They range from established players like IBM, Microsoft, Oracle, SAP and SAS to upstarts like Tableau, Birst and Qlik.

And whether they are making any headway or not, less than 25 percent of today’s enterprise workers report that they have access to the information they need, in spite of $100 billion spent by companies on BI software licenses and even more on IT services.

The software and solution provider(s) who can increase BI penetration are destined to make a mint.

That’s one of the reasons that a team of engineers and entrepreneurs from tech leaders like Facebook, Google, IBM Netezza, Nutanix and others have joined force to build a solution that workers will actually embrace.

The Customer Intent Wake Up Call

2014-21-October-Alarm-Clock.jpgAs companies evaluate their growth strategies for the New Year, the conversation ultimately comes down to which set of dials to turn. Does the company invest in more sales people, product features or marketing programs?

Companies aspiring to be customer-aligned add a few more dials to the conversation -- what should the chief customer officer be measured on, beef up the customer success team, invest in employee engagement / culture initiatives, innovate their customer engagement strategy, and/or shift from a product-feature-pushing sales model to a services-selling-path?

What all of these dials have in common is that they focus on the customer. Except each dial reflects an organizational silo that is focused on a slice of the customer experience -- none focus on the whole customer. Revenue growth depends on the organization’s ability to understand how to detect, decipher and act on the customers’ perspective of their intent.

NetScout's Trying to Poison the Jury, Gartner Claims

The Gartner Group took a hard swipe at NetScout Systems yesterday, claiming the information technology company is relying on "unnecessary, repetitious, scandalous, impertinent [and] immaterial" allegations to build a case against it and "poison the mind of the jury and the court."

In the latest action in what promises to be a lengthy legal fight, Stamford, Conn.-based Gartner took off its gloves to deliver a stinging blow to Westford, Mass.-based NetScout.

Look Before You Leap Into the Big Data Revolution

2014-21-October-Pre-Jump.jpgLike the proverbial elephant and five blind men, big data looks different depending on who's describing it: from holy grail for information in society, to dangerous step toward a world in which people are treated based on predictions of what they are likely to do instead of what they actually do. While neither of these extremes may turn out to be our future, big data is obviously more than a passing fad, and will be defined ultimately not by what it is but by what is done with it and what it does to those at whom it is directed.

Cloudera + Microsoft's Snuggle in the Cloud Causes Confusion

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Anyone that Hortonworks gets into bed with, Cloudera snuggles up to next.

This, of course, is not a proven theorem. But it sure seems to be the case lately.

Earlier this month Hadoop enterprise data hub provider Cloudera announced a deeper integration with long time Hortonworks partner Teradata. Hortonworks’ 100 percent open source Hadoop distribution (HDP) powers many of Teradata’s big data offerings, including the Teradata Appliance for Hadoop.

Yesterday, at a Microsoft press event, Mike Olson, Cloudera’s Chief Strategy Officer, shared the stage with Microsoft CEO Satya Nadella and corporate vice president Scott Guthrie to announce his company’s intention to become Microsoft Azure Certified.

IBM Stumbles on its Road to the Cloud

The transition to the cloud is not happening fast enough for slow-moving IBM, which today reported disappointing third quarter results: Revenue of $22.4 billion declined 4 percent year over year and fell short of the Wall Street consensus estimate of $23.37 billion, while per-share earnings of $3.68 missed the consensus by 64 cents. 

With the second half of this year now coming in weaker than expected, the company’s outlook has gotten more hazy, so management pulled its 2015 earnings forecast of $20 a share, saying it would provide an updated figure in January.

IBM’s latest numbers have not been well received on Wall Street: the stock today is down 7 percent, earlier hitting a new 52-week low at $166.71. 

For the quarter, IBM’s global services revenue of $13.7 billion (61 percent of total revenue) was off 3 percent, while software revenue declined 2 percent to $5.7 billion and hardware revenue dropped 15 percent to $2.4 billion. “We saw a marked slowdown in September in client buying behavior,” said CEO Ginni Rometty.

Faking Big Data #strataconf

Sorry folks, but this shouldn’t come as too big of a surprise. Anytime a new technology or field emerges, so does a group of posers. They’re typically software vendors, consulting firms and “experts” who claim to be able to help you cross the chasm between where you are and where you need to go to remain viable in the future.

These aren’t, for the most part, evil companies, snake oil salesman or under educated individuals. Vendors iterate products as quickly as they can and push them out too early, they take shortcuts and rationalize them and sometimes they simply don’t know that they don’t know what they’re doing.

Big data is still an emerging field.

Deliver Big Data in Bite-Sized Pieces with Mainstream Apps

2014-16-October-Squirrel-Lunch.jpgHow can we transform Big Data into the Big Idea that turns into an opportunity in the digital revolution? How can we use this data gleaned from multiple sources and turn it into smart “consumer style” data driven, mainstream apps? The answers aren’t easy.

But without these answers we'll be unable to develop the data driven-apps that analysts are flagging as the next “Big Thing” in the sales and marketing arena.

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