So, I’ve been back from the Tableau Conference in Las Vegas for about a week. It was a great show – very packed with interesting sessions, engaging speakers, and passionate conversations about data discovery and analytics with true data geeks – what’s not to like, right?!
3 days, 10,000 attendees, multiple TED speakers… but this wasn’t a motivational sales conference. It was a conference for data geeks – the Tableau Conference. In this case, what happened in Vegas will NOT stay in Vegas. It needs to be shared.
Work in or with technology much and you’re likely to know the impact that the forces of democratization can accomplish. Broadening the effective population that can perform an essential task – without resorting to agency or hand-holding – has been at the heart of most business ‘disruptions’ of the Internet Era. There’s an emerging dynamic in the convergence of Big Data and democratized access to data analytic tools, like Tableau.
Pundits who focus on BI and Big Data consistently estimate that roughly two-thirds of any BI initiative is spent profiling and identifying the data that will be used for analysis. As a recovering data analyst – “Hi, my name is Lee. I’m a statistician” – I appreciate their focus on the most time-consuming element in living the quantitative dream.
I’m still fascinated by the overwhelming response to this slide, which features a quote from Forrester Research, Inc., VP Boris Evelson. People universally agree, and usually even tell us that 80% is probably low. That’s a lot of time and resources being channeled into background tasks. Most organizations don’t realize that there is a far more efficient way to get data into BI tools for analysis.
This past Tuesday was the day I had figuratively marked on my calendar for the last couple years. It was the day we released Attivio Data Discovery to the world. (Oh, and by “released”, we mean released, not announced or beta or we just had an idea yesterday... more on that later.)
Tableau started with a brilliant computer scientist, an Academy-Award winning professor and a savvy business leader with a passion for data. And they never looked back. They’ve been one of the fastest growing BI companies for at least the last five years.
The Tableau Conference is just around the corner, and we at Attivio are very excited to interact with some of the best minds in BI. Attivio’s self-service semantic data catalog dramatically reduces the time it takes to get the right data into Tableau. By reducing the provisioning process from months to minutes, we’re able to radically transform productivity levels of analysts, while empowering top executives to act with certainty.
Most people don’t think about supply chains when they consider the various challenges of BI and Big Data analytics. But I think the concept of a data supply chainis very helpful in figuring out how to shrink the gap between data discovery and actionable analytic insight.
You Have Self-Service Data Analytics. But Do You Have Self-Service Semantic Data Catalog?
I know that many organizations thought that desktop or cloud-based self-service data analytics tools would push their Big Data and BI initiatives from lackluster to groundbreaking. But, unfortunately, data discovery often consumes well over half the time spent on analytics projects. That can certainly put a crimp in your analytics ambitions.