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

Big Data News & Analysis

Benioff Spills Beans Early: Salesforce Intros Analytics Cloud #DF14

Apparently Salesforce CEO Marc Benioff couldn’t resist. Almost 12 hours before the embargo was scheduled to lift, he announced, via Twitter, that his company is launching Salesforce Analytics Cloud, Wave. 

He clearly wanted the most enthusiastic of his 123,000 followers to check it out in the App Store, and to give reporters a heads-up that he, himself, was breaking the embargo.

The launch of Salesforce’s sixth cloud wasn’t actually a secret, anyways. Benioff had leaked that it was coming, again via Twitter, last month.

Chasing the Elusive Single View of Your Consumer

2014-10-October-Chasing-Pigeons.jpg

Multinational organizations often confront ambitious proposals for global CRM rollouts that promise to power their marketing ecosystems. These proposals are typically rebuffed by difficult questions around ROI or are prematurely terminated owing to reactive corrections of marketing strategies.

Others, that manage to clear the budget approval and allocation viability gates falter in selling their global vision to their local counterparts. The few who hit the finishing line often struggle to assimilate the massive amounts of consumer data and its implications. These organizations cave in under a self-fulfilling prophecy of “big data cannot be tamed.”

The few who excel in justifying their investments have probably paid close attention to the following consideration in their CRM strategies: Is a “Single Consumer View” your holy grail?

5 Ways Analytics Enables Smarter Action

2014-10-October-Action.jpgAnalytics has become the backbone of digital marketing success, and when used correctly, is a fundamental tool for smarter, data-driven marketing. Using analytics effectively means marketers are in a better position to recognize trends, uncover insights and take action such as personalizing content and remarketing in real time.

But the value of data to the business diminishes if it doesn’t enable timely action. That’s the reality that digital marketers face. They’re under increasing pressure to manage the deluge of data, extract real value and take action quickly.

Will SAP HANA + Birst Blow Salesforce and Oracle Analytics Away?

2014-09-October-jet-Pack.jpgSalesforce boss Mark Benioff better have a pretty remarkable rabbit in his hat next week when he makes a much anticipated announcement about how his company will deliver big data analytics in the cloud. If not, Birst and SAP have just partnered to steal his thunder.

Cloudera + Teradata = Big Data Love?

2014-9-october-with-love-always.jpg

Hadoop may make many promises, but Teradata delivers solutions that enterprises trust.

We’re not saying this to ruffle any feathers because it isn’t an either or game. Every now and then we see headlines that say things like “Cloudera Declares End Of Data Warehousing Era” or see pictures of tombstones with RDBMS written on them, but the reality is that a good many of Teradata’s  users ignore  them or figure that Teradata will deliver big data capabilities, in a palatable doses, when the time is right.

And that’s essentially what Teradata and Hadoop pioneer Cloudera are banging the drums about this morning as they announce an expanded partnership around technology integration, sales and support. In other words, the two companies will work together to integrate Teradata’s integrated data warehouse and Cloudera’s enterprise data hub so that customers can work with multiple data sources (Cloudera’s Enterprise Data Hub being one of them) through the Teradata Unified Data Architecture (TDA).

This means that not only will Teradata customers be able to “buy” Cloudera’s products and services from Teradata, but that they’ll be tuned to work together and mutually supported.

Top 10 Strategic Tech Trends for 2015 #GartnerSYM [Infographic]

2014-9-october-artificial-intelligence-is-no-match-for-natural-stupidity.jpg

Can’t get enough of lists? Another Top 10 was revealed during Gartner’s Symposium/ITxpo 2014 in Orlando, Fla., this time focusing on technology trends for the coming year. 

“It all starts with digital business,” said David W. Cearley, Vice President and Gartner Fellow. “Welcome to your digitized future.” In presenting the trends, Cearley noted that strategic trends are those likely to have the biggest impact in the next three years.

The 2015 trends fall into three groups:

  1. Merging the Real and Virtual World
  2. Intelligence Everywhere
  3. Emergence of the New IT Reality

Q4 Planning: Top Marketing Technology, Social Business Conferences & Events (08-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: How Structured Collaboration Delivers Better Business Outcomes

Join CMSWire and ThinkTank on October 21st for a one-hour webinar on new enterprise collaboration strategies.
 

> Register Now

sponsored item

 

3 Rules of Respectful Data-Driven Marketing

2014-8-october-privacy

Technology’s recent surge in big data capabilities has also spawned a number of concerns – perhaps most notably the issue of privacy — and whether or not it actually exists.

Most technology executives have similar attitudes on the subject. Google CEO Eric Schmidt remarked, “If you have something that you don't want anyone to know, maybe you shouldn't be doing it in the first place.” Sun Microsystems former CEO Scott McNealy even went as far as saying, "You have zero privacy anyway. Get over it."

What Skills You Need to Extract Business Value from Big Data

Enterprises have been collecting data for decades. Now advanced storage and network technologies offer the ability to capture more data than ever.

No two companies are the same, nor do they need big data to solve the same problems. More data on clicks, likes, locations and other types of information are being collected than ever before. But without the right skills to integrate and analyze this information, big data is useless.

IT professionals need specific skills to manage, monitor and operate Hadoop clusters and they need specific expertise to extract real business value from big data. The IT team must train or obtain resources with these big data engineering and analysis skills as well as business talents.

Why Alteryx Won a Whopping $60M in New Funding

Data is the currency of today’s business world, when it’s leveraged to the hilt it can separate winners from losers when all else is equal. And even when it’s not.

We’re moving into a new world in which how a company uses its information may impact the bottom line as much as the product itself.

The folks at data-blending and analytics startup Alteryx know this, so they’ve built data blending and predictive analytics tools to help their customers leverage their data to a hilt. And you won’t have to be a data scientist or a know-it-all to blow someone like Mad Money’s Jim Kramer away. Alteryx democratizes big data.

Why Splitting HP into 2 Companies Makes Sense

The renaissance of HP took another turn today with the announcement that it was splitting into two public companies.

One company will comprise HP’s market-leading enterprise technology infrastructure, software and services businesses, which will do business as Hewlett-Packard Enterprise.

The other will comprise HP’s market-leading personal systems and printing businesses, which will do business as HP Inc. and retain the current logo.

The deal is expected to be completed by the end of fiscal 2015.

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

Thumbnail image for discussion-point-1.jpg

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?

2014-6-October-creepy-doll

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

2014-6-october-the-wild-one.jpg

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."

Displaying 16-30 of 900 results

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