Foundations for successful data projects

Description

Most organizations have developed processes and practices for data management and development of large software projects. While many of these processes and practices are still relevant and valuable, the dramatic growth in volume and variety of data, along with new tools to manage this data, have caused these same organizations to struggle to adapt to this new landscape. This includes understanding how to evaluate new data management systems, how to properly staff projects to ensure success, and how to properly evaluate and manage risks when working with these new management systems.

Jonathan Seidman and Ted Malaska share guidelines and practices to provide a path through the process of developing data projects from planning to implementation. You’ll leave with insights on managing and delivering your own successful data projects based on Jonathan’s and Ted’s years of experience working with multiple companies and customers.

Topics include:

• Starting the planning process by understanding the key data project types
• Selecting data management software in the new enterprise data space
• Managing project risk, including technology risk, team risk, and requirements risk
• Ensuring integrity of data through your entire data pipelines
• Ensuring the integrity of data through effective data governance and management of data