Video description
Presented by Alex Schwarm – VP/Head of Data Science at Dun & Bradstreet
For many teams, the most challenging step in delivering useful results, is less about the modeling techniques and methods and more about having access to the right data with the appropriate data coverage of the domain of interest. In this talk, we will describe two specific use cases where data pays a crucial role: one around identifying supply chain risks and one related to prospect targeting. For the supply chain risk use case, we will describe how access to unique data assets reveals the impact of the Coronavirus on supply chains and how this impacts global businesses. We will also describe how some companies are offering data scientists the ability to access data to determine which data assets best solve their business analytics and modeling needs, with a particular focus on prospect targeting.
Table of contents
Product information
- Title: All Models are Wrong, but Some are Useful. Especially with the Right Data
- Author(s):
- Release date: March 2020
- Publisher(s): Data Science Salon
- ISBN: None
You might also like
video
Enabling Better Shopping Experiences Using Technology, Data, & Fashion Attributes
Presented by Rhonda Textor, Head of Data Science at True Fit Recent advances in technology such …
video
New Frontiers in ML driven Customer Intelligence
Seemit Sheth – Head of Data Science at Capital One Micah Price – Principal Associate Data …
video
Just Ask: Designing intent driven algos
Presented by Anna Schneider, Data Science Manager at Stitch Fix Classic recommender systems are great for …
video
Case Studies in Data driven Merchandising
For retail businesses, inventory is simultaneously the company’s greatest asset and its largest risk. Competitor pricing, …