In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to leverage a Teradata environment to pull Bookings, Builds and Shipment information onto 1 platform and to correlate supply chain health with KPIs, Inventory and Backlog – REAL-TIME.

1. A Case Study in
Sales & Operations
Planning
A Fortune 100 Technology Company
Quick Context
Objective
a. ~40,000 SKUs, 4 Regions, ~70 BUs, 3 Distribution Channels
b. No single view of Supply Chain health in the organization which leads to low
Lead-time Attainments
• Ability for senior
management to
monitor Supply
Chain health real-
time
• Single view to
proactively
identify issues for
timely resolution
Impact
• S&OP at BRIDGEi2i spans two of our
major solution areas where deep
specialization has been developed over
the years – Sales and SC
• Domain clarity allows us to synthesize
the right S&OP metrics
Key Success Elements
Our Approach
6 Months
3 Years
Client
Project length
Length of relationship with client
• Teradata is the single source of
information for all Supply Chain related
data
• Simple, fast queries written directly to
Production server to fetch real-time
Bookings, Shipments and Builds at a
product x Region level
• Plan data is refreshed every month. A
method to reconcile plan changes with
supply chain performance is necessary
• Plans and Actuals are readily available
from Source – so no Algorithm was
necessary
• Adjustments to plans every month must
be accurately reconciled with Actual
performance to avoid giving a false
sense of Supply Chain KPIs
• Several accuracy filters were developed
for this purpose
• High-granularity, real-time dashboard is
automated completely in SAP BO using
Xelcius as the reporting platform
• Queries must be fast, so all metrics
were written as derived variables for
calculations to be performed at real-
time in-dashboard
• Low latency in dashboard – high
adoption in the Client SC community
Data Management Algorithmic Play Operationalization
a. To leverage a Teradata environment to pull Bookings, Builds and Shipment
information onto 1 platform
b. To correlate supply chain health with KPIs, Inventory and Backlog – REAL-TIME