Too many big data initiatives are science projects that take months of effort, risk failure and require highly trained data scientists with scarce skills. According to a CSC survey, 55 percent of big data projects aren’t completed and many others fall short of their objectives.Read more...
Compuverde Unveils Data Analytics Research Project with Stanford
KARLSKRONA, Sweden, June 9 – Compuverde, the Big Data storage solution for service providers, telecommunications companies and enterprises, today announced its research project with the Stanford University computer science department aimed at designing, developing and delivering a Big Data analytics solution for intuitive use throughout the enterprise environment.
Enterprises are seeking ways to capitalize on Big Data analytics, yet can be thwarted by overtly technical solutions that make actionable insights difficult to achieve outside of the IT department. The goal of the project is to develop a user analytics solution built on top of Compuverde’s software-defined storage solution that can be used easily by marketing, finance and other non-technical enterprise teams. Compuverde’s software-defined storage does away with the need for expensive hardware. By bringing reliability and performance to the software level, telcos, service providers and large enterprises are able to use lower-energy, high-performance flash drives throughout the data center to reap massive gains in speed.
The project is the second collaboration with Stanford students and the first to address data analytics. It will be showcased at the Stanford Software Faire today on Monday, June 9th.
Stefan Bernbo, CEO of Compuverde, said, “Big Data is exploding in popularity as organizations seek ways to extract actionable insights from user behavior patterns. Yet too many solutions are overly technical and difficult to use for the non-technical business teams that would benefit from them. Our research team has focused on integrating an easy-to-use data analytics platform into our software-defined storage solution with the goal of producing a Big Data solution that is efficient, easy to use and powerful enough for all departments within the enterprise.”
Jay Borenstein, Stanford instructor, said, “Being able to effectively analyze and understand information has never been more important, so it was exciting for students to be working on projects like the one our students completed with Compuverde in CS 210. In that project, the student team sought to expand accessibility to Big Data analytics and its business benefits. Building analytic tools that work for a broader section of the workforce creates novel use cases and the potential for better products and services across industries. It was a valuable learning process for all involved and we are pleased to be able to work with Compuverde for a second year in a row.”