DataFactZ delivers in-transaction analytics solutions

By Vivek Vajjala - March 28, 2016

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                                                                  DataFactZ delivers in-transaction analytics solutions

                                           Real-time analytics help companies stop fraudulent transactions before they occur

SAN JOSE, California (March 30, 2016) – DataFactZ announced on Tuesday that it will provide solutions to help enhance the analytics capabilities of IBM z Systems-powered mainframes running z/OS version 2.1 or later. The company, an IBM Business Partner, announced that it received IBM PartnerWorld’s Developer/ISV business partner certification during the Strata + Hadoop World Conference in San Jose, California, which continues through March 31, 2016.

DataFactZ strives to deliver complete real time analytics services to its customers globally. These services will initially be uncovered with focus on preventing fraud in the financial industry by isolating and investigating fraudulent transactions in real time with advanced machine learning and streaming technologies.

“Detecting fraud in real time has benefits for both the company and its customers,” said Krishna Kallakuri, CEO of DataFactZ. “We are working with IBM to provide analytics services for z Systems customers that will improve their ability to detect and prevent costly fraudulent transactions before they occur.”

The companies will hold two presentations during the Strata conference to showcase the fraud detection capabilities of advanced analytics within the z Systems. The first presentation, “Real Time Fraud Detection Using Spark on IBM z Systems by DataFactZ,” will be held on Wednesday, March 30 at 3:30 pm in the Solutions Showcase Theater. The second, “Gaining Customer Satisfaction Insights Using Spark on IBM z Systems by DataFactZ,” will be held on Thursday, March 31 at 12:15pm in the Solutions Showcase Theater.

Both presentations will be led by Mythili Venkatakrishnan, IBM’s z Systems analytics technology and architecture lead and Sreeram Nudurupati, an analytics solutions architect at DataFactZ.

“Data volumes from digital transactions across industries are growing exponentially,” said Mike Desens, vice president and business line executive, IBM z Systems. “While this can be a major benefit to companies in terms of gathering valuable customer data, it can also put them at risk for malicious activity. By supporting fraud detection models for mainframes running z/OS, IBM and DataFactZ can help clients detect fraudulent transactions in real time.”

DataFactZ and IBM will also present during the Predictive Analytics World Conference, held April 3-6, 2016 in San Francisco. The companies will discuss fraud reduction in the financial sector during a lunch and learn titled “Using Apache Spark on the Mainframe to Reduce Fraud in the Financial Sector” on April 4 at 12:05 p.m. The presentation will be led by Paul DiMarzio, IBM’s worldwide portfolio marketing manager, z Systems Analytics.

About DataFactZ

DataFactZ is a global business analytics company based in Northville, Michigan driven by inquisitive data scientists, having developed a pragmatic and interdisciplinary approach, which has evolved over the decade working with over 100 clients across multiple industries. Combining several data science techniques from statistics, machine learning, deep learning, decision science, cognitive science, and business intelligence, together with an ecosystem of technology platforms, DataFactZ has produced unprecedented solutions. DataFactZ is now 800+ strong employees, all focused on managing and leveraging data to create value for our clients with a suite of Strategic and Implementation services in the areas of Data Engineering, Data Science, and Decision Science. DataFactZ assists organizations in designing and deploying a technology platform that delivers on multiple levels. For more information, visit www.datafactz.com, and follow DataFactZ on Facebook, Twitter and LinkedIn.