For an insights-driven company “Data” is considered as an asset. At HP, we are evolving from Business Intelligence to Data and Analytics with a three-pronged strategy: data, technology, and governance.

On the data side, we understood that the single source of truth when mashed up with relatable subject areas can transform into powerful analytical insights. Hence defined data products, their lifecycle, and a unified catalog to make data accessible via the marketplace.

On the technology side, we have designed a scalable and secured Federated Data Lake House architecture that supports the use cases for persons like analytical engineers, operations, data scientists, and executives.

Finally, data governance by/of/for the people: We stood up the Data Governance organization and pivoted part of our team as data leaders – like data product owners, data stewards, and domain leads using formal training, mentoring programs as well as recognition, to catalog/curate metadata and to own Data Quality standards.

Key Takeaways

• Learn from the experience on how disruptive technologies are handled in Big companies and understand and gain knowledge to prepare a cookbook to set up data architecture and governance strategy.
• Describe the importance of Data Governance to your peers and higher-level management.
• Learn more on the concept of Data Products and their lifecycle.
• Develop your own data governance strategy and get started with the tools and technologies to democratize the data. 

Speaker: Swapna Tom

Distinguished Technologist - Data and Analytics, HP Inc.

Swapna Tom is the Distinguished Technologist for Enterprise Data and Analytics for various portfolios. Her responsibilities include Innovation, leading the future state architecture and roadmap for Data and Analytics to make HP Inc. a data-driven enterprise. In her role, she drives Consistent Architecture and Solution Delivery patterns that help to turn data into information and to gain insights out of it to deliver business outcomes.

Swapna has 20 years of industry experience with 15 years in Data and Analytics across various technologies like SAP BW, SAP HANA, Vertica, Hadoop, and Azure and now expanding the benefits of data using Artificial Intelligence and Machine learning techniques. Swapna is an evangelist for new innovative ideas. She is currently leading the Digital Transformation effort toward Data as an Asset strategy with a Domain-based architecture. She has a bachelor’s degree in Electrical Engineering and holds an MBA.