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This event will consist of three sessions and a Q&A. Session details are outlined below. For speaker bios, please visit https://buckeyedama.wordpress.com/
Session #1: Logical Architectures for Next Generation Analytics (45 Minutes)
Senior Product Marketing Manager
The current data landscape has moved beyond the EDW era. Bigger data volumes, new requirements (AI, ML), and new paradigms like data lakes, cloud, IoT and other built-for-purpose data systems, have fragmented the previously consolidated world of analytics.
Logical architectures, in opposition to physically replicated ones, are now the best alternative to provide unified analysis over a consolidated view of all your data. Data virtualization enables logical architectures without compromises, as it:
Integrates data from heterogeneous data sources without the need to replicate
Provides self-service big data access to business users
Centralizes data security and governance
Integrates and delivers actionable insights in real-time
Session #2: Decision Modeling: The Key To Delivering Value From Your Data (30 minutes)
Cherry Advisory, LLC
Decision modeling is a technique that helps you uncover the critical insights that increase decision-maker confidence for the most important business actions. In doing so, it identifies and prioritizes the data, information, and sources needed to inform these insights. After those data elements are known, one can then create an optimized virtualized architecture and deploy differentiated levels of data governance to source data. When those key decisions or priorities change, this approach will help you re-prioritize and efficiently update your virtualized environment easily and with purpose.
Session #3: Driving business value with a modern data platform (30 Minutes)
Practice Director, Advanced Analytics
Technology has forced many businesses to rethink their delivery models. Startups emerged, leveraging the internet and mobile technology to better meet customer needs (like Amazon and Lyft), disrupting entire categories of business, and grew to dominate their categories. Traditional companies are still struggling to meet rising customer expectations. Modern data platforms enable businesses to address these new customer expectations. But these platforms are the first step. Learn what else you need to drive value from your investment in a data platform.
Q&A (15 Minutes)