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Michael Simone
Sr Director Analyst
Gartner
Speaker Topics
- Data Integration
- Metadata Management
- Data Architectures (inc. Data Fabric, Data Lakes, Data Warehouse)
- Operating Model
- Building Data and Analytics Skills
- Master Data Management
- Data Products
- Overall Data and Analytics Strategy
Speaker Bio
Michael Simone is a Senior Director Analyst in the Data and Analytics Data Management group currently focusing on data fabrics and data mesh, data products and data contracts (as used in data management not legal documents), DataOps, data engineering, and data observability.
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Sessions
Monday, 28 April, 2025 02:30 PM - 03:00 PM BRT
Data Mesh: A Successful Path to Federated Data Management
Michael Simone,
Sr Director Analyst, Gartner
Discover how Data Mesh is transforming data management by decentralizing delivery and empowering business-driven D&A initiatives. You will find out what data mesh is, its benefits, and the most common challenges. We will provide a successful path based on the experience of early adopters, allowing you to avoid the most common pitfalls and adopt data mesh successfully.
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Monday, 28 April, 2025 04:00 PM - 04:30 PM BRT
What Are the Characteristics of Successful Data Management
Michael Simone,
Sr Director Analyst, Gartner
Data management continues to evolve and is increasingly becoming a dedicated function led by heads of data management. Gartner has been investigating what makes heads of data management successful. This session will discuss the key characteristics around organizational structures, operating models, architecture and technology to establish characteristics of successful data management.
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Tuesday, 29 April, 2025 03:45 PM - 04:15 PM BRT
DataOps: Delivering Operational Excellence in Data Management
Michael Simone,
Sr Director Analyst, Gartner
D&A leaders must develop DataOps as an essential practice to redefine their data management operations. This involves establishing business value before pursuing significant data engineering initiatives, and preventing duplicated efforts undertaken by different teams in managing the common metadata, security and observability of information assets within the data platforms.
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