HOT TOPICS: Customer Experience Marketing Automation Social Business SharePoint 2013 Document Management Big Data Mobile DAM

Analytics News & Analysis

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

sponsored item

 

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

Thumbnail image for Thumbnail image for 320x240_cmswire_tweetjam_logo.png

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.

ThoughtSpot Wants to be the Tesla of BI

2014-21-october-tesla.jpg

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

Thumbnail image for 2014-21-october-mike-olson.jpg

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.

Transform the Customer Journey with Predictive Analytics

2014-16-october-a-journey.jpg

Predictive analytics is on the rise. Two years ago, retail chain Target was able to find out a teenage girl was pregnant before her father even did. While this revelation sparked controversy around issues of user privacy, the incident demonstrates the power of data.

Data can also predict user behavior. Google Calendar, for instance, absorbs user information and can predict where you will be and what you will be doing on a given Tuesday afternoon.

But data’s ability to anticipate and understand human behavior is not limited to business-consumer interactions: it has the ability to implement much-needed change in the way we engage with customers in general.

How Big Data Projects Are Different

2014-16-October-Chess-Moves.jpgHow is big data strategy different from any other technology-related strategy? There’s definite overlap with other IT strategies, including the need to be aligned with business strategy, to have strong sponsorship, to address specific business problems, and to have decision making mechanisms for resource allocation and ongoing capability development -- that is, good governance processes.

The key difference lies in what makes Big Data unique -- the implications of the classic 3 v’s of Big Data -- the volume, velocity and variety.

Microsoft's Big Data Steps Boost Customer Insights #Strataconf

Microsoft hasn’t been shy about its goals for the data-driven age. It plans to bring business intelligence to a billion screens and to remove the barriers that are preventing broad adoption of advanced analytics.

These are lofty ambitions, perhaps, but there is no company on the planet that’s in a better position to deliver on them.

Put aside, for a moment, that Excel is a default tool for data crowd, that Office 365 is a next logical step for workers, and that so many enterprises inherently trust the Azure Cloud. The company is also rolling out big data solutions that are, at once, as powerful and compelling as those that scrappy start-ups are delivering today.

Will Salesforce's New Analytics Cloud Make Waves? #DF14

2014-15-October-Bolivia-Salt-Flats.jpgData Science is hard. Ditto for Big Data. You can add analytics to that list as well.

But “difficulty” and “complexity,” as they relate to data, aren’t the bogeymen of this day and age. Partly because it’s too expensive to let them play that role when the difference between winning and losing, success and failure, on a macro scale might come down to how well you leverage your data. And partly because a new generation of startups has emerged to put a smart, user friendly face on big data analytics.

Displaying 1-15 of 1498 results

< Previous 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Next >