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Analytics News & Analysis

Microsoft One-Ups Apple and Gets a Big(ger) Data Game

2014-31-October-Rollerblader.jpgYou have to love Satya Nadella’s Microsoft. He announces a vision and the company delivers, Bada Bing, Bada Band.

Nope, “Band” isn’t a typo -- we’re talking about the Microsoft Band. It went on sale yesterday and, get this, it sold out online almost immediately. A few Microsoft retail stores (that no one knows about) may still have one, at least until the mall rats start telling everyone that a new store just opened.

For now the Band is being branded as a fitness tool (we’ll get to features in a moment) but it’s really about productivity, machine learning, Cortana and data.

This baby is going to have your number(s) and has the potential to run your life.

IBM's Tencent Deal Could Best Twitter Partnership

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IBM announced today that it has partnered with the Chinese Internet Services Provider (ISP) Tencent Holdings — a deal that has the potential to be a lot more lucrative than its recently announced partnership with Twitter.

IBM is trumpeting this one as a major step into the Chinese market that it has been targeting for a long time. What's really interesting is that the agreement between the two is for the provision of public cloud and Software-as-a-Service (SaaS) solutions in China. Financial terms of the deal were not disclosed.

Bigger, Better, Faster, Stronger: The Future of Big Data

2014-31-October-Big-Foot-Bionic-Man.jpg[W]e can rebuild him. We have the technology. We have the capability to make the world’s first bionic man. Steve Austin will be that man. Better than he was before. Better. Stronger. Faster.

One of the most popular TV shows in the mid '70s was the Six Million Dollar Man, which told the story of astronaut Steve Austin, who after an accident was rebuilt as a superhuman cyborg, combining the best of the human mind and robotic enhancements. This "Better. Stronger. Faster." has become a foundational theme in describing the benefits of technology. Whether you prefer the wording of the 1970's version or the 2007 Daft Punk "Harder, Better, Faster, Stronger," the basic themes resonate with organizations that want to improve the value and power of their technologies.

Big data is no exception. Although we have used the three Vs of Volume, Variety and Velocity as a basis for defining big data for over a decade, the truth is that each of these Vs is solved through different technologies -- there is no one solution to solve all of these problems. This conflation of big data characteristics has only become confusing since the phrase "big data" truly took off in 2011.

Big Data Projects: Taking Care of the Foundation

2014-30-October-Building-Blocks.jpgAll programs need a foundation, and big data programs are no different. Preparing an organization for big data requires a lot of the same capabilities for small data, content management and other information management and access programs. The challenge lies in making it real for the organization and paying for long term capabilities with short term benefits.

IBM, Twitter in 'Landmark' Enterprise Analytics Deal #IBMandTwitter

2014-29-October-Budgie.jpgTweet this -- enterprise software met social media today in one of the first major business partnerships of its kind. 

IBM and Twitter have joined forces in the red-hot enterprise analytics software market.

The social media platform will integrate its data into IBM's Watson cloud analytics portfolio, customer engagement capabilities and consulting services in what company officials call a "landmark" partnership announced today at IBM Insight, the Armonk, NY-based technology giant's big data and analytics conference in Las Vegas.

Twitter CEO Dick Costolo told the Insight crowd today that no one matches Twitter's ability to deliver real time insights from the real world.

"And IBM brings a unique ability" to deliver analytics, complex systems and data together for deeper trends and insights, he added.

Breaking Down Big Data: The Value in Metadata

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I never met a data that I didn’t like.” -- Internet Meme

As a Partner at Optimity Advisors, my role is to work with clients to make data likeable: identifiable, discoverable, usable and ultimately, valuable. Companies are struggling to manage big data in a landscape of rapidly increasing production and diverse formats. The ability to collect and analyze internal and external data can dictate how well an organization will generate knowledge, and ultimately value. How can you start planning for this value?

When an Enterprise Social Network Gives More Tricks than Treats

2014-28-October-Groucho-Glasses.jpgIt’s that time of year when employees come to work dressed up in Halloween costumes of all types. On October 31, you’ll inevitably see zombie bosses, animals galore and a myriad of other getups meant to bring a bit of adult fun to a favorite childhood holiday.

But what if I told you that I knew the secret to changing your workplace identity the other 364 days of the year? What if I told you that I can help you create a costume so convincing that, even without doing much work, you will appear to be a Corporate Rockstar -- Mr. Popular or Ms. Helpful? It’s time to share the secrets of gaming your enterprise social network this Halloween.

There are many social technology vendors who offer data and analytics tools (either native or add-on) that claim to measure meaningful activity inside your community. Legend has it that this data can be used to find influencers, popular topics, important details and even experts. So in the spirit of Halloween -- and with a ghoulish grin -- I’d like to offer three easy steps to building an enterprise disguise by manipulating your activity inside an enterprise social network.

Marketing to the Segment of One is Closer Than it Seems

2014-28-October-Alone-in-Bleachers.jpgAs mass marketing dwindles in popularity and effectiveness, the “segmentation of one” is the future. Businesses must be able to market to customers at an individual level to remain competitive and relevant. However, without customer analytics technologies -- such as modelling, forecasting and segmentation -- marketing to this degree of detail can’t be done efficiently.

The Darker Side of Data Mining? Ask Your Doctor

2014-28-October-Say-Ah.jpgI’m a digital marketer. We mine data from the Internet all day long in order to sell more shoes. I have no problem with that. People like shoes, they want shoes. If they spend so much money on shoes and can’t pay their rent because of a campaign I designed, that’s perfectly OK with me. It’s called a free market.

What digital marketing does well is collect (mine) all the data floating around the Internet -- things like tweets, likes, shares, webpage visits, downloads, shopping cart activity and purchases -- in order to find out what experiences with the brand drive the most desired outcomes. We call it “actionable insight” -- data that reveals how we might drive better outcomes. The outcomes we drive are always one of two things: reduced cost or increased revenue. 

But here’s a conversation I had with my sister recently about the way data mining is used now in medicine that I found disturbing.

IBM Security App Focuses on Multi-Dimensional Analysis

IBM introduced new high-speed analysis and criminal investigation software yesterday that is based on multi-dimensional analysis and can scale to almost any level the user needs.

Called IBM i2 Enterprise Insight Analysis, the application is designed to find "non-obvious relationships" buried within a corporation's IT — an environment typified by hundreds of terabytes of data and trillions of objects.

Leveraging TagMan's Technology, Ensighten Launches 'Attribution'

2014-27-October-Footprints.jpgAs marketers track their customer's journey across channels, a key factor is creating tags that follow the footsteps.

Ensighten today released a new product called Attribution that is designed to make that easier while reducing spending when integrated with Ensighten's Manage and Agile Marketing Platform.

“Ensighten’s closed loop approach is unique in the marketplace,” Josh Manion, Ensighten's founder and CEO said in a statement. 

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.

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