Data-Value Driven - Reference Architecture for Data Managers
This webinar highlights developing a data-driven reference architecture, addressing challenges in data management, and emphasising vendor assessment and interoperability to enhance enterprise architecture effectiveness.
DEVOPS for Data Management with Ernest Matthysen
This webinar covers data management challenges at Mediclinic, focusing on agile adoption, Jira implementation, team engagement, sprint processes, and best practices for retrospectives in agile environments.
Business Goals Drive Data Management for Data Managers
This webinar focuses on aligning Data Management with business goals, exploring the interconnection between Data and Business Architecture, information management, operating models, and their impact on value streams.
Business Goals Drive Data Management for Data Citizens
This webinar emphasises the critical alignment of Business Architecture and data management, highlighting industry-specific value streams, data exchange, and the role of enterprise architecture in driving business success.
Clearing the Skies for Cloud Data Warehousing with Dr. Barry Devlin
Dr. Barry Devlin examines data architecture approaches like Data Fabric, Data Lake House, and Data Mesh, discussing their evolution, challenges, and the role of AI and ML in data management.
Unveiling the Core of Data Strategy: Aligning with Business Goals
This webinar, led by Howard Diesel, explores essential data strategy elements, emphasizing business architecture, data management, and value streams to enhance efficiency in healthcare processes.
Data Storage and Operations for Data Executives
This webinar explores data storage architecture, challenges in data management, data orchestration, decision-making processes, and the role of data fabric in achieving semantic consistency and unification.
Business Measurement Sophistication with Howard Diesel
This webinar emphasizes the significance of measurement frameworks, such as Balanced Scorecard and OKR, to align business strategy, performance metrics, and team agility for achieving strategic goals.
Clearing the Skies for Cloud Data Warehousing
Dr. Barry Devlin examines data architecture approaches like Data Fabric, Data Lake House, and Data Mesh, discussing their evolution, challenges, and the role of AI and ML in data management.
How to Productise Data for Data Managers
Utilising ontologies and controlled vocabularies is vital for transparency in sustainability initiatives, linking data products to financial goals, and enhancing the effectiveness of sustainability reporting in financial services.