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.
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.
“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.
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.
The single, most-important determinant of the lifetime value of a modern, enterprise-wide application is its dexterity in adding or changing the data sources that drive the application. ‘Rock stars’ deliver solutions that provide value and benefits for years, adapting to new or evolving data sources quickly and easily. And, now, there’s no excuse for not being a ‘rock star’.
How Data Virtualization Drives Secure, Agile, Enterprise BI
If you believe that the convergence of Big Data and Big Analysis is a ‘half full’ opportunity, chances are you’re familiar with and engaged in the implementation of data virtualization to accelerate the move to data democracy in your organization. New tools extend the franchise for secure, well-governed data provisioning – offering the ease of self-service and/or dramatic gains in IT productivity. By eliminating many of the costs and risks associated with traditional data integration methods, virtual data marts b
There was a lot of talk at the Tableau Conference last month about the challenge of getting the right data into Tableau. There’s a process bottleneck between IT and the business that prevents the easy flow of data in the organization. Data democratization is a powerful concept that ultimately enables companies to compete on analytics.
Recently I was thinking about the data bottleneck between BI analysts and IT that can add months to analytics initiatives before they produce any meaningful insight. It’s not just that most enterprises are saddled with legacy infrastructure for handling data. Tools like Tableau, Qlik, and Spotfire have created an order of magnitude increase in the number of data consumers in business. There just aren’t enough bodies on the IT side with the technical skills to handle the demand for data the old-fashioned way using code or ETL and MDM tools.