ZEDventures: Decision Making and Analytics with Big Data Infrastructure

Big data, at its best, should help business make strategic decisions, improve customer experience, and drive innovation. However, challenges in the processes of managing data — structured, semi structured, and unstructured — can create barriers to utilizing an organization’s data most effectively. The sheer volume of data now available can be overwhelming, draining valuable time and resources to simply sort through all the information collected from the IoT, web, email, social media and other channels. It takes a methodical yet adaptive approach and a keen perspective to truly glean the most actionable insights. “With constant evolution of big data and analytical platforms, we’re determined to become the glue that seamlessly binds and ties these technologies together,” says Saurbh Khera, President at ZEDventures.

ZEDventures—a San Jose, CA based company—has developed a streamlined platform and processes for collecting, visualizing and analyzing small and big data to help organizations make the most of their assets. Their proprietary solutions and products seamlessly integrate data and content from various sources into one user-friendly platform, while drawing on existing infrastructure to enhance efficiencies and reduce the ‘learning curve’ for users. “Through the platform, we combine the processes, roles, and standards in a way that maximize efficient big data and information usage and is easy to adapt within any organization. It is our goal to make companies data-driven, and we can facilitate that by making the process of getting and utilizing their data more seamless and approachable,” says Jeremy Stierwalt, SVP of Decision Science and Analytics at ZEDventures.

A recent Gartner report reveals that with 84 percent of IT managers who are analyzing unstructured data, there is a 30 percent increase in deploying data visualization tools this year. Beyond their product offerings, ZEDventures provides enhanced support and expert perspectives to help their clients make the most of their data.