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What’s Next with Data Analytics
January 24 @ 9:00 am - 3:00 pm
DAMA Philadelphia presents What’s Next with Data Analytics
Thursday, January 24, 2019
8:30 AM – 3:00 PM
- Joe Caserta, CEO Caserta Concepts – Current Data and Analytics Trends
- Dustin Ryan – Microsoft – Solution Architect
- April Reeve – Director Enterprise Information strategy & Architecture, Celgene Corp.
Please be sure to RSVP!
|Joe Caserta – Joe Caserta is a celebrated big data strategy consultant, author, educator and CEO of Caserta Concepts, an award-winning strategic consulting and innovation technology implementation firm. His company specializes in Transformative Data Strategies, Modern Data Engineering, Advanced Analytics, Strategic Consulting & Technical Architecture, and Design & Build Solutions. Joe is the co-author of the industry best-selling book, The Data Warehouse ETL Toolkit (Wiley 2004), a contributor to industry publications, and frequent keynote speaker and expert panelist at conferences and events. He also serves on the advisory boards of financial and technical institutions, and is the organizer and host of the Big Data Warehousing Meetup Group in NYC.
As the world of data and analytics evolves, organizations must innovate or lag increasingly behind the competition. Adding uncertainty to the mix, new technologies and methodologies are disrupting the business landscape, as others fade into a hazy sunset of ones and zeros. Join Caserta founding President Joe Caserta as he explores current data and analytics trends, emerging technologies, and how organizations need to innovate. The presentation will approach the challenge of deriving value from data not only from a technological angle but also from an organizational one. New roles such as the CDOs (Chief Data Officer and Chief Digital Officer) have risen, as well as the need for a type of “data curator” to interface between data consumers and data engineers. Other themes of the presentation will be the need for strong data governance strategies, which balance democratization of data, access, self-service analytics, and regulation. The presentation will be enjoyable for both business and technical audiences. Caserta is a strategic consulting and implementation firm focused on data and analytics known for its bold solutions to business challenges.
Dustin Ryan – Dustin began his career as a Junior Business Intelligence Consultant with Pragmatic Works in October 2008. While working as a consultant at Pragmatic Works, he gained an immense amount of experience in a wide variety of industries in a very short amount of time. In November of 2015 he joined Microsoft as a Data Platform Solutions Architect on the Education Specialty Teams Unit. As a DPSA on the Education STU, his job is to help customers overcome the unique data problems presented to educational institutions. Technology is changing at warp speed and at Microsoft he has had the wonderful opportunity to work with incredibly smart people on amazingly fun projects using the latest and greatest technology! Dustin is also an author, contributor, and technical editor on several SQL Server related book; his works include: Applied Microsoft Business Intelligence, Professional Microsoft SQL Server 2012 Analysis Services with MDX and DAX, and Knight’s 24-Hour Trainer: Microsoft SQL Server 2008 Integration Services.
April Reeve – April Reeve has spent the last 25 years working as an enterprise architect and program manager for global financial services and health care organizations. Now she is incorporating her enterprise data management knowledge as Director of Enterprise Information Strategy & Architecture at Celgene, a global biopharmaceutical company in Summit, NJ.
April is an expert in multiple Data disciplines including Data Integration, Big Data, Master Data Management, Data Governance, Data Migration, Data Warehousing, and Data Analytics. She is the author of “Managing Data in Motion: Best Practice Data Integration Techniques and Technologies” published by Morgan Kaufmann.
Who knew that there are more than 9000 people on twitter interested in Big Data & Data Management? Follow her at @DataGrrl
April’s Overview on Predictive Analytics: “Architecting for Predictive Analytics”: Link to overview