If you’ve been following the Attivio blog, you’ll know that we have not been shy about sharing our ideas on what we see in the Big Data market right now. But in this post, our CEO, Stephen Baker, shares our predictions for the industry in 2017.
Time will tell how accurate these predictions are, but these are the trends we see bubbling up as we talk to customers, analysts, and others in the ecosystem.
The scope and scale of today’s enterprise challenges are unprecedented in terms of their complexity. Vast volumes of information are scattered across the ecosystem and around the globe, and enterprises often are expected to dynamically retrieve precisely the right data set on a moment’s notice to win a customer’s loyalty. If not, other vendors eagerly await to win that customer’s lifetime business. Every transaction is a lifetime transaction.
Attivio’s latest patent covers one of the most interesting features in the Semantic Data Catalog and the one that always gets wows when we demo it – the automatic join finder. Under the hood, the technology replaces manual processes that could take hours or days with a quick, easy process that takes minutes.
Writing on the O’Reilly.com site back in August, CEO Jessie Anderson of Smoking Hand, a training company for Big Data technologies, commented on the overall complexity of Big Data, NoSQL technologies, and the distributed systems that deploy them.
If Aesop is right and we are known by the company we keep, Attivio’s success is a direct result of our associations with our top-notch channel partners. One of our longstanding resellers is Cadeon, an IT services and solutions provider based in Alberta, Canada. We recently checked in with Cadeon CEO Phil Unger about his ongoing work with Attivio.
Attivio: Tell us about your experience as an Attivio reseller.
Chief Data Officers have a lot of things on their plates. And one of those things is giving users freer access to the data they need. This is what we call "data democracy." Most CDOs like the idea of data democracy in theory. But in practice, the CDOs we talk to find that efforts to create a data democracy face at least four common barriers: