If your organization is going to win on analytics, it needs to view all of its information as a strategic enterprise asset. This includes not just the 10% you know about, but the 90% of dark data that hides in information silos. There are big challenges on the path to surfacing all of your enterprise information for business intelligence. The biggest challenge is not in storing data, or in analyzing it, but actually finding the right data. But why is it so hard? Here are the top three reasons:
As an Attivio Solutions Architect, I often work to help companies customize (a.k.a., hack) our Cognitive Search and Insight technology to meet their unique search demands. It’s worth sharing some of the most common hacks in the risk space.
At Attivio, we appreciate all our customers, but occasionally one deserves to be called out for their exceptional work on a project. Global Partners is such a customer. Check out their customer success story:
Global Partners, LP is a Fortune 500 midstream logistics and marketing company that owns, controls, or has access to one of the largest terminal networks of petroleum products and renewable fuels in the Northeast.
It's pretty obvious to anyone who follows analytics and Big Data that an end-to-end solution for the Big Data stack will require best-of-breed technologies from multiple vendors. No single vendor can develop all the technology pieces on its own. New applications and data processing frameworks emerge and change much too quickly. As enterprises strive to create a modern and flexible hybrid data infrastructure, they look for technologies that are easy to embed and extend.
Stranger: “What does that mean? It’s something with computers, right?”
When I’m introduced to someone, this conversation is typical. I’ve been in various technical presales positions for more than ten years. I’ve built a career on my ability to engineer solutions to prove both business and technical value to all manner of companies. But more importantly, I’ve built my career on my ability to confidently answer technical and business-oriented questions.
As a business development representative at Attivio, I regularly speak to companies about their big data management challenges and possible technology solutions. Many of their pain points would resonate with organizations across a wide array of industries.