Creating 'Value' From Big Data

Michael Zeller, CEO, Zementis
1203
2018
446

What significant changes did Big Data segment witness in 2013? What did these changes mean to vendors and customers?

In 2013, we saw a significant shift from “experimental" Hadoop projects to real-world production application of Hadoop.  Hadoop is no longer just a cool thing to try, but considered a viable enterprise platform.  Customers across all industries are not only implementing Big Data solutions, but they are also rapidly adopting Data Science as a key strategic initiative.

This brings new business opportunities for vendors, a flurry of choices for customers and with that, naturally, a certain confusion on which platform and which tools to select.  For customers, it is not easy to cut through the “marketing noise” and to identify the solution that is best for a specific task.

Can you paint us the picture of how the landscape for this industry segment will change in 2014? What are some of the broader trends you are closely watching?

Everyone is familiar with the “3 Vs” of Big Data, “Volume, Velocity, Variety” which are addressed at the platform level.  In 2014, we expect an even stronger focus of the "4th V" as in creating “Value” from Big Data.  This will lead to a much broader adoption of Predictive Analytics and statistical algorithms which are the critical elements to implement data driven decisions in the context of Big Data.  With this trend we will see data mining standards like the Predictive Model Markup Language (PMML) shine as they reduce cost and complexity in the operational deployment of Predictive Analytics on Big Data while keeping compatibility to the existing data mining tools.

How would customer spend change in 2014 for Big Data segment? What makes you think customers will be buying more/ less?

Taking an increased spending at the platform level as given to meet business demand, we especially anticipate a much bigger emphasis on Predictive Analytics as compared to descriptive analytics (basic reporting capabilities, dashboards, etc.).  Therefore, we expect customers to focus more attention on data mining and advanced analytics tools that increase the value of the existing platform investments in Hadoop or a massively-parallel data warehouse.

What's in store for your company in 2014?

It was a great honor for Zementis to be named as “one of the 20 most promising Big Data companies in 2013” by CIO Review.   The Big Data “hype" will continue in 2014, but we are just at the beginning of realizing our data's true value.  Following our focus on operational predictive analytics and our vision for a vendor-neutral, platform independent deployment, Zementis will continue to expand its solutions related to Big Data and real-time scoring.  Watch for new partnership and new product announcements in Q1.

Read Also

Getting the Most out of Big Data

Getting the Most out of Big Data

Kris Rowley, Chief Data Officer, GSA
Big Data: Separating the Hype from Reality in Corporate Culture

Big Data: Separating the Hype from Reality in Corporate Culture

Brett MacLaren, VP, Enterprise Analytics, Sharp HealthCare
Maintaining Maximum Relevancy for Buyers and Sellers

Maintaining Maximum Relevancy for Buyers and Sellers

Zoher Karu, Vice President and Chief Data Officer, eBay
Building Levies to Manage Data Flood

Building Levies to Manage Data Flood

Adam Bowen, World Wild Lead of Innovation, Delphix