Data Dexterity is the Last Mile in Agile BI

For all the talk about competing on analytics, little is said about what that takes. Strong visualization? Speed? Easy to use tools? It takes all that, of course, but one thing comes first: ready access to the data — the right data, for the people who need it, when they need it. As I said in my 5 predictions for BI and Big Data in 2016 post, without access to all your data, competing with analytics is just talk.

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An Interview with Greg Goldsmith, Attivio's Chief Product Officer

As Chief Product Officer for Attivio, Greg Goldsmith is responsible for product strategy, along with the execution of that strategy from the product side. He directs the research and development teams, as well as the technical sales organization. With such a key position within Attivio, we thought it fitting to talk with Goldsmith and get his perspective on the BI and Analytics industry and Attivio’s role within it.

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Chief Data Officers Look Forward to 2016

Will this be the year of the CDO? It looks that way based on recent conversations we’ve had. The time has come for a data advocate in the C-suite.

I previously wrote about my 5 predictions for BI and Big Data in 2016, and the emergence of the CDO is at the top of my list.

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A Semantic Metadata Catalog

We’ve been talking a lot about data democratization lately—what it means and how to achieve it. In practical terms, a data democracy provides unfettered access to all an organization’s data stores for anyone one that needs it. That means someone or something has to have a firm grasp of where all the data lives and understands what it contains.

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Data Democratization and Master Data Management in the Era of Big Data

Remember when master data management (MDM) was going to solve all the problems caused by out-of-control data growth and the disparate, disjointed silos that growth produced? And, I could add—still produces.

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The Holiday List

What to Get for A Person Who Calculates Everything

Talking with colleagues and friends in business lately, I’ve taken a new tack.  After all, it’s the season that celebrates gifts - large and small.  After greetings, I’m asking, “What’s on your list this year?”  I get all sorts of answers - from the sublime (typically, peace) to the ridiculous (mostly, political) – but it’s the answers of a friend – call him Jerry for convenience, that I thought I’d share today.

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5 Predictions for BI and Big Data

As Nate Silver points out often—and humorously—in his book The Signal and the Noise, the world is full of noisy data. Inside the untapped potential of Big Data and Business Intelligence is the signal. When the power of data is fully harnessed, it enables executives to transform productivity and act with certainty. My predictions for 2016 are about the trends that move businesses through the noise to truly leverage information as a strategic asset.

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Really Successful BI Initiatives Start with the Right Data

Like many things, there’s a “bandwagon” element to trends in Big Data and BI. By that, I mean interest seems to snowball around a particular topic or topics. And pretty soon that’s what everyone pays attention to.

Right now, the hot topic in Big Data is the variety of data sources that can be put to analytical use. And in BI, it’s data visualization tools. What you don’t hear a lot about is how to find the right, most relevant data sources out of all that are available, so your analytics tools having something useful to work with.

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Enhanced Views Are A Winning Play

Competing on Innovation and Insight

“The only thing better than certain insight is certain insight you don’t have to work hard to find.”

Our view of any business situation is enhanced when every relevant insight is available for consideration.  In the early days of search, our queries determined precisely what we found.  We were limited by the data that was indexed and the terms we searched.

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Why Should BI Tech Owners Empower Business Users?

The short answer: “To get them out of their hair.” But seriously…

At Attivio, we work with decision-makers at various companies who own and administer the BI infrastructure. We call them “BI tech owners.” A BI tech owner’s team governs data and delivers it to business users for analysis.

BI tech owners are not in an enviable position at the moment. The proliferation of self-service analytical tools for Big Data and BI have generated orders of magnitude increases in requests for data. And those requests all come with an ASAP attached.

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