Data Products sit at the intersection of data science and product management. It's critical to have a roadmap in place which enables delivery of products driven by data science R&D directly to end users. Join us for three examples in three different industries of data products strategy and implementation. We'll discuss the organizational and technological implementations needed to achieve a successful deployment, turning data science investment to increased value for users and profit for the business.
During this webinar, we'll dive into the commonalities and differences between the design and implementation of a delivery optimization product in the logistics industry, and predictive customer 360 product in the insurance industry. We'll detail the delivery schedule for an incremental implementation plan of all three of these products in order to showcase how your organization can effectively invest in data products while gaining quick wins along the path to full product implementation.
Data Products sit at the intersection of data science and product management. It's critical to have a roadmap in place which enables delivery of products driven by data science R&D directly to end users. Join us for three examples in three different industries of data products strategy and implementation. We'll discuss the organizational and technological implementations needed to achieve a successful deployment, turning data science investment to increased value for users and profit for the business.
During this webinar, we'll dive into the commonalities and differences between the design and implementation of a delivery optimization product in the logistics industry, and predictive customer 360 product in the insurance industry. We'll detail the delivery schedule for an incremental implementation plan of all three of these products in order to showcase how your organization can effectively invest in data products while gaining quick wins along the path to full product implementation.
