This talk will delve into the intricacies of data product methodology, emphasizing the importance of delivering reusable and certified data products. Attendees will learn about standard dimensions and metrics that enhance quality, predictability, and speed. The methodology ensures transparency of design and seamless transitions driven by milestones across teams, enabling robust governance of technical standards.. The session will also highlight compliance and improved data quality monitoring, featuring key data elements in a centralized location. Furthermore, the talk will cover smooth transitions to the support and maintenance phase by providing essential knowledge artifacts and encouraging re-use over re-invent through accessible and well-defined knowledge libraries.

Speaker: Swapna Tom
Distinguished Technologist, Enterprise Data Analytics, HP

Swapna Tom is a Distinguished Technologist for Enterprise Data and Analytics, responsible for driving innovation and leading the future state architecture and roadmap for Data and Analytics. With a focus on consistent solution delivery, Swapna transforms data into actionable insights to achieve business outcomes.

With 20 years of industry experience, including 15 years in business data warehousing and analytics, Swapna possesses a deep understanding of the field. Based in Houston, Texas, she is an evangelist for innovative ideas and is instrumental in fostering advancements in data science and analytics.

Swapna is actively involved in leadership roles, contributing to HP’s Society of Women Engineers, leading the Data Science Affinity Group and serving on the Advisory Board for Women in Data Management and Governance by DATAVERSITY. Her dedication to promoting technical solutions and empowering women in engineering underscores her commitment to advancing industry standards and practices.