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Big Data News & Analysis

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.

Big Data as a Disrupter - Thinking About Big Data Strategically

2014-15-October-Roller-Coaster.jpgAfter riding the roller coaster of hype, Big Data disillusionment has been setting in, driven in part by the inherent fuzziness of exactly what the term means, but also because the term by itself is really descriptive of just a bunch of bits, rather than tangible business benefits. So I’ll try to put some gloss back on big data by putting it in the context of business strategy, which, after all, is the context that matters to the senior executives who have the financial wherewithal to really make big things happen with big data.

SAP, IBM Steal Salesforce's Thunder

It wasn't if, but when. Who would try to steal the thunder from Salesforce and its Dreamforce glory?

It was SAP. And IBM. Together.

The enterprise software giants joined forces today.  SAP announced its HANA Enterprise Cloud service is now available through IBM’s cloud in a move officials from each company claim expands major markets with the addition of the IBM cloud data centers. 

Bill McDermott, CEO of SAP, said in a statement the demand for SAP HANA and SAP Business Suite on SAP HANA in the cloud is "tremendous and this global agreement with IBM heralds a new era of cloud collaboration."

IBM CEO Ginni Rometty called it a "significant milestone in the deployment of enterprise cloud” and added that IBM's "secure, open, hybrid enterprise cloud platform will enable SAP clients to support new ways to work in an era shaped by big data, mobile and social.”

Real Bedfellows? Salesforce, Office 365, OneDrive & Power BI #DF14

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Salesforce CEO Marc Benioff knew the conversation would be special, so on the opening day of Dreamforce, Salesforce’s user conference in San Francisco this week, he brought Microsoft Windows Vice President Tony Prophet on stage for a fireside chat.

After some genuine, inspirational, heart-to-heart talk about their mutual charitable work at Benioff’s Children’s Hospital at University of California San Francisco (UCSF), among other things, Benioff dropped his jaw.

"A year ago at Dreamforce we would not have thought Microsoft would have been here, on stage,” he said. “It's a shock."

And to him it certainly seemed to be, and for good reason. But are things always what they seem? 

Big Data's Dark Side: Keep the Creep Out of Your Analytics

2014-14-October-Spider.jpgMost of what’s been written about big data and data analytics -- and there’s been a lot written --accentuates the positives and the possibilities. It highlights the ability to use insights gleaned from data to make faster, smarter business decisions. It talks about how companies can use big data to drive the development of new and improved products and services capable of improving life for customers. It examines the myriad ways data analysis can be used to improve the quality and delivery of healthcare, facilitate a better learning experience for students, and help the world proactively prepare for disasters.

None of this is untrue. Big data analytics can indeed be immensely powerful. But as the saying goes, with great power comes great responsibility. As we turn the calendar to October, a month famous for the scary, there’s no better time to talk about the dark side of big data. If not handled properly, ethically and procedurally, big data can get pretty creepy, pretty quickly.

How Big Data - and Critical Thinking - Lead to Business Value

2014-13-October-Magnified-Image.jpgThere is irony behind a discussion of the business value and metrics related to big data analytics, since a lot of people in the business world still don’t understand much about big data, including those who think they have a handle on it. Business analysts, IT, Marketing, Business Intelligence, Data Scientists, Upper Management -- each of these roles can have a meaningful stake in big data analytics -- and it’s likely that each role has a different idea about the impact it can have.

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

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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?

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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]

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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.
 

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3 Rules of Respectful Data-Driven Marketing

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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.

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