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Analytics News & Analysis

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.”

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.

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.

Salesforce Shifts Focus to Customer Success with Analytics Cloud #DF14

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Salesforce.com will launch a major strategic shift next week from a sales-driven CRM company to one focused on long-term customer success. 

Salesforce CEO Marc Benioff leaked part of the plan last month with a tweet that mentioned plans for an Analytics Cloud, but that is only part of a broader vision. The company, a pioneer in cloud-based software, will announce the new analytics service on Monday. On Tuesday, Benioff will outline how those tools will enable the company's evolution into a "customer success platform," a source close to the company confirmed today.

"We will be announcing the Analytics Cloud at Dreamforce, but that's just one of the new announcements we've got," CMO Lynn Vojvodich said during an interview with Bloomberg TV

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.

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

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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.

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]

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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?

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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?

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