|Event Date||Mon Nov 11 EST - Tue Nov 12 EST (almost 2 years ago)|
Rosen Centre Hotel
9840 International Dr, Orlando, FL 32819, USA
As more organizations embrace modern approaches to information management, they are empowered to transform data into business value which becomes the basis of innovative and strategic data-driven business practices. Achieving these worthy goals demands that organizations effectively acquire, curate, manage, govern, analyze, and exploit all forms of digital assets. These assets include structured data, unstructured text, and IoT data streams, as well as images, graphics, and video.
The conventional approaches to on-premises data warehousing are still necessary, but are increasingly insufficient to meet the diversifying analytics and data management needs of the modern digital enterprise.
The Strategy Summit for Data Management brings together case studies, innovative practices, future visions, and interactive group sessions that teach attendees strategies for successfully incorporating mature and emerging practices, methodologies, and technologies into a modern data environment for warehousing, business intelligence, analytics, governance, and operations.
Benefits of Attending:
Develop a successful strategy for data management
Enhance your standard applications and services to become intelligent, data-driven solutions that support business innovation
More efficient operations
Increase self-service analytics and business intelligence in your organization
Innovate in products and services
Learn how to provision the right data in the right condition for the right business analytics, process improvement, or innovative management method
Understand where data management is going
Validate your programs and initiatives, and go one step further: learn what you need to do about market trends and best practices to include in your strategy.
Join Us and Learn:
• Best ways to make a business case for projects that deserve investment, planning, and development
• Why hybrid data management environments are required to satisfy all your enterprise’s requirements for data plus how to assure success with the design and governance of hybrid ecosystems
• How advances in data integration, quality, virtualization, services, cataloging, clouds, and compliance fit with your strategy
• Experience-based insights into creating a solid data platform for innovative data-driven analytics, governance, and operations
• Best practices for aligning data management with business goals to support customer satisfaction and their critical initiatives
• Effective ways of establishing a governed single source of truth in a self-service data environment
• Tips for overcoming organizational biases and making effective, data-driven decisions
• Advice for integrating multiple sources of data to create a central resource for new business practices based on data lakes, self service, and data exploration
• How to apply new technologies and methods for improving data semantics and integration infrastructure
• Essentials for developing and deploying the new wave of warehouses, lakes, clouds, NoSQL, open source, and analytics sandboxes
Who Should Attend?
• Business executives and line-of-business managers
• CAOs, CDOs, VPs, and directors of BI and analytics
• IT executives, including CIOs and chief data officers
• BI and data warehousing directors
• Managers of technology teams
Philip Russom, Ph.D
Senior Director of TDWI Research for Data Management, TDWI
President, Knowledge Integrity, Inc.
Chief Data Architect, Indiana University
Account Executive, WhereScape
Head of Product Management, Global Retail Optimization and Augmented Analytics Platform, eBay
Head of Data Services, Wargaming
Architect/Entrepreneur, Allegis Group
Evan Levy, CBIP
Partner, Integral Data, LLC
Senior Director, BI & Analytics, Genesys
Analytics and Business Intelligence Architect, Red Hat
• Where Scape