An important factor in realizing a successful Data Governance program is its focus. Too often, we see Data Governance programs fail because they start with a wide net; they try to answer too many questions about ALL of your data over too many dimensions.
A better solution is to target your most critical data first.
According to Gartner, one of the 10 key steps to include in a governance program is to identify and target your most crucial data pipelines. Join our Data Governance discussion to understand how to hit a bull’s-eye immediately by finding and governing your most sensitive data to address both governance and risk at the same time. John Radi, Global Sales Leader, Data and Analytics at Prolifics, and Brian Kordelski, CRO at Data Sentinel, will take you through the steps to jump-start your governance program in a targeted way – that leads to success.
Global Sales Leader, Prolifics
Emil “John” Radi is a very successful enterprise sales leader with over 25 years of experience as both a solutions architect and enterprise sales executive around MDM, Data Governance, Big Data, and Analytics. He brings extensive knowledge of the competitive landscape in the Information Management and Analytics space along with expertise in the Analytics Security and DevOps practice areas.
CRO, Data Sentinel
Brian Kordelski is an enterprise advocate in the value of data with over 30 years of innovations in architecture, implementation, design, and sales for companies globally. Brian is currently serving as Chief Revenue Officer for Data Sentinel and is focused squarely on the evolution and adoption of sensitive data solutions that deliver immediate value, confidence, and value creation for our clients.
CTO, Data Sentinel
Kevin Downey has over 25 years of experience in Information Management and Enterprise Data Management solutions, specifically in the areas of Data Governance (including Privacy and Risk Management), AI Analytics, Cloud Migration, Data Modernization, Data Quality and Integration, Master Data Management, and In-Flight Data Enrichment. His recent focus has been on cloud-based Data Governance, including deep learning data classification, streaming data enrichment, graph database technologies, and advanced interface design. He has a proven track record of accomplishments in achieving high business value and returns from all things data. Most recently, he is responsible for product vision with Data Sentinel. Previously, he was the Global Head of IM&A Delivery for Prolifics and the COO of Stream Integration for 10 years. He has held senior positions at IBM/Ascential, Entigy Consulting (Partner), and Oracle over the course of his career.
Kevin has now taken his data background and applied it to leading the product direction, design, technology architecture, and development as CTO of Data Sentinel. Data Sentinel is a data engineering software company that develops business software solutions focused on cloud-based data classification, inventory, privacy, risk, and compliance.