Jul 17 DATAVERSITY Demo Day – Data Governance

By on

DATE: July 17, 2024

TIME: 8:00 AM – 10:45 AM Pacific / 11:00 AM – 1:45 PM Eastern

PRICE: Free to all attendees

Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Governance program’s success.

Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.

Session One: Delivering Business Value through Data Governance

The defensive aspects of data governance are for most organizations the first focus areas within data strategy and drive the investments to advance data maturity accordingly. But data leaders increasingly are also charged to derive and demonstrate recognizable business value of data, and to do so faster. Attend this session to see how governance can be the catalyst to making high-value, trusted data products easier to find and use across your enterprise, laying the groundwork for monetization, and successfully evolving your readiness for the era of AI.

Session Two: Automating Data Access and Governance to Win With Data

Satori logo

Scaling secure and compliant data usage is becoming exponentially harder. As companies respond to dynamic changes to data access requirements, they need to be able to deploy them across multiple data sources and BI tools, without impacting their users. In this session, learn how Satori removes the burden of manual data security and compliance, allowing data teams to move faster with their data.

Session Three: How Data Lineage Enables Simpler Regulatory Compliance, Data Governance and Technical Impact Analysis

A dive into how IBM’s Manta Data Lineage solves complex problems in regard to meeting compliance standards for various industries across a wide range of technologies, and further explore how Data Lineage can streamline data governance and technical impact analysis.