Story
SAS
Performance Food GroupPerformance Food Group Uses SAS Customer Intelligence for Feature Pipelines
Performance Food Group, a consumer staples organization in the United States, uses SAS Customer Intelligence from SAS to support applied machine learning for data scientists and ML engineers.
Consumer Staples teams at Performance Food Group treat SAS as the working layer for applied machine learning.
“Consumer Staples work at Performance Food Group spans more than one site, even when headquarters sits in the United States.”
“Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Consumer Staples work at Performance Food Group spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.
SAS (SAS Customer Intelligence) is what they standardized on. SAS provides analytics and AI software used for statistics, risk, customer intelligence, and decisioning in regulated industries. Performance Food Group uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
