A Checklist For Big Data Success In Banking

How can the financial services industry overcome the complexity of Big Data to obtain value from their data assets?

Altiscale presents a multi-step checklist to Big Data success, starting with the foundational layers of Big Data, so that organizations can focus on building their applications.

Together with our partner InnovAccer we’ll present:

How the operational burden of Big Data can be alleviated

How analytical building blocks can be leveraged

Examples of the latest Big Data applications in the financial services

Whether you're using Big Data to predict market risks and returns, drive revenue, control costs or detect fraud, the Altiscale Data Cloud can help you get there quickly and easily.


Kevin Long, Head of Product

Kevin is Head of Product Marketing at Altiscale, the leading provider of Big Data-as-a-service. In his role, Kevin works with Altiscale's product team and partners to help enterprises realize the value of solutions built on a fully managed Big Data platform. Prior to Altiscale, Kevin’s Big Data experience includes product management and marketing positions at Cray, VMware, and MarkLogic. Kevin holds an MBA from the University of Chicago and BS and MS degrees from Stanford University.

Sandeep Gupta, COO

Sandeep Gupta co-founded InnovAccer and serves as its COO. Sandeep has grown the organization from a team of 3 to a globally distributed company with a staff of over 70 and a customer list that includes NASA, Tata, Harvard, and several others. Prior to InnovAccer, Sandeep was with the Innovation and Product Strategy Group at Ingersoll Rand where he was responsible for business development functions. He also has had prior roles at Tata Consultancy Services and Microsoft.