September 13, 2022 at 8:00AM - September 14, 2022 at 2:00PM
Wayfair, Boston. (This event is open to Supply Chain Exchange members and invited guests. Please register with your work email address.)
Data is widely recognized as a critical source of potential competitive advantage in businesses today, yet this advantage remains elusive for many organizations. This begs the question: How can data be used in the supply chain to maximize benefits to the company?
This event is open to Supply Chain Exchange members only.
This simple question raises many issues requiring thoughtful choices and decisions, each of which ultimately affects the ability of the company to create a return on its investment in data (and all the activities surrounding the data). These challenges exist across all businesses and functions, but they are especially acute for supply chains because of their complexity and the importance of interconnectivity end-to-end. This is particularly evident, for example, for those companies pursuing a long-term vision of the autonomous supply chain. Those companies will need to leverage data in unseen ways – and their ability to leverage it will depend on the decisions made regarding data governance, organization, and coordination among and across data engineers, data scientists, and data analysts.
This topic should appeal to data engineers, data scientists, and analysts – and their managers – who are charged with capturing, curating, managing and leveraging data for effective and efficient decision support in the supply chain. The event will kick off with a tour and business review by Wayfair leadership. Afterward, the group will convene in the Wayfair conference space to focus on examining key factors affecting the ability of data engineers, data scientists, and analysts to leverage data. We expect to address the following issues in a series of sessions:
- Definitions of and distinctions between Data Engineering, Data Science, and Data Analysis
- Data governance
- Calculating ROI and the cost of data
- How to co-lead projects and problem-solve in partnership across the business
- Identifying high-value data science/data analysis supply chain use cases and measuring for success
- Organizational and operational methods to deliver data science/analytics transformational programs
Each session discussion will be kicked off by a practitioner from industry, sharing a relevant example of their own experience. We will consider these and other examples solicited from participants to provide a broad set of illustrations that hopefully are useful and inspiring to the attendees.
Kickoff speakers include:
- Mani Janakiran, Intel
- Pankaj Chopra, J&J
- Ramsay Key, Wayfair
- Bill Driegert, Uber Freight