ZL Technologies to Present at the Insurance Data Management Association’s 2016 Annual Meeting

MILPITAS, CA–(Marketwired – April 14, 2016) – ZL Technologies, Inc. (ZL), the leader in unified information governance and analytics for the large enterprise, today announced its speaking session at the Insurance Data Management Association’s (IDMA) 2016 Annual Meeting and Seminar in Philadelphia, PA, on April 18-19. The event theme, “The New ABCs for Data Management Professionals — Analytics, Business Intelligence, and Cyber Risk” emphasizes the role of well-designed data management strategies and infrastructure in analytics efforts. ZL Technologies’ session, “Riding the Big Data Tsunami: Managing and Leveraging Big Data,” explores the topic in-depth, addressing strategic concerns in enterprise data analysis.

The insurance industry has long been at the cutting edge of analytics, using nearly all available information to optimize risk assessment, plan structure, and pricing. While traditional analysis has largely focused on customer-provided and historical data in order to predict risk, modern approaches have increasingly turned towards utilizing the “unstructured” and textual data of communications. With available data sources and volumes increasing daily, proactive data management has become a key determinant of successful analytics insight.

Session Title: “Riding the Big Data Tsunami: Managing and Leveraging Big Data“

Session Details:

• Speaker: Kon Leong, CEO of ZL Technologies
• Time: Tuesday, April 19, 9:15 – 10:00 AM EDT
• Location: Doubletree Hotel Philadelphia — Philadelphia, PA
• Education Track: Track 2 — Business Intelligence

ZL Technologies’ flagship governance platform, ZL Unified Archive (ZL UA) uniquely combines a foundation of enterprise unstructured data governance with advanced analysis, eliminating the data “silos” that impede meta-analysis of diverse content such as files, emails, and public social media. By enabling analysis of data within the organization, ZL helps insurance firms map social and sales relationships, pinpoint content risk, flag anomalous or potentially fraudulent customer claims, and mine data for trends that may reveal opportunities for business improvement.

Further information on ZL’s analytics offering can be found at the ZL Enterprise Analyticswebsite. For more information on the IDMA event and its sessions, view the full schedulehere.