About the Webinar
BI landscapes are becoming increasingly complex with the surge in adoption of cloud technologies. Your BI group may have one foot in legacy systems and the other in more modern cloud-based systems, and this alone makes managing and understanding your data virtually impossible.
From needing to understand the impact of a change in a source system from the ETL through to reporting, to finding the source of a reporting error that an end-user questioned you on, to quickly responding to auditors’ demands – these recurring daily BI tasks and more turn into weeks-long projects.
Join us for our upcoming webinar where you’ll learn:
- How to enable your BI group to fix problems sooner for quicker access to accurate data
- The advantages of moving from manual to automated data lineage
- Use cases for BI and analytics groups in a variety of industries, including finance and insurance
About the Speakers
Amnon Drori is the co-founder and CEO of Octopai, the BI Intelligence Platform. He has over 20 years of leadership experience in technology companies. Before co-founding Octopai he led sales efforts at companies like Panaya (acquired by Infosys), Zend Technologies (acquired by Rogue Wave Software), ModusNovo, and Alvarion.
President, Data Millennium
Malcolm Chisholm has over 25 years experience in data management, and has worked in a variety of sectors, including finance, pharmaceuticals, insurance, manufacturing, government, defense and intelligence, and retail. He is a consultant specializing in data governance, data quality, data privacy, master/reference data management, metadata engineering, data architecture and business rules management/execution. Malcolm is a well-known presenter at conferences in the US and Europe, writes columns in trade journals, and has authored the books: Managing Reference Data in Enterprise Databases; How to Build a Business Rules Engine; and Definitions in Information Management. He holds the prestigious DAMA International Professional Achievement Award for contributions to Master Data Management.