Saxon Global Case Study_Logistics_Business Intelligence

1. Saxon Global Case Study
Implementation of Business Intelligence Data
Warehouse Platform and KPI Analytics for a leading
US company in the Logistics industry
About the Customer
The Customer is the largest and most trusted leader today in
International package consolidation, serving more than 200,000
customers in over 220 countries.
Saxon Global Solution
Robust, scalable and extensible BI and Analytics platform
Cutting edge ETL and analysis framework on right design
aligned to domain
Self-service analytics for business users delivered on Tableau
KPI analytics delivered on the new platform for multiple
subject areas
Visual display of real time operational analytics in their
warehouse
Notable features in reports included trends, geolocation,
charts, drill downs and advanced filtering
Business Challenges
Solution Highlights
INTERNATIONAL
LOGISTICS COMPANY
Customer Benefits
SQL Server Integration Services
Always Available Group (AAG)
Windows Server 2012 Cluster
Tableau Server and Desktop 8.1
Microsoft C#.net
Iterative Delivery
www.saxonglobal.com
Streamlined and timely delivery of analytics to top
management
Best in class Trend analysis significantly aided decision making
Self-service analytics along with trends enabled management
to identify systemic optimizations. It streamlined their
Customer Service Process App
Department level analytics enabled granular fixes and
efficiencies
The business was growing at fast rate year on year and
there was a pressing need for a strong analytics platform
for the management to drive their next decisions
objectively. The dashboard and reports were
predominantly manual and adhoc process based. Any new
report or measure requirement meant the involvement of
IT team to build and deliver the same. The management
wanted to transform their organization into an analytics
and metrics driven one and enable objectives based
decision making.
Saxon Global initially delivered a discovery consulting to identify
the customer’s data ecosystem and proposed to design and build
a Business Intelligence Data Warehouse Platform to deliver
analytics using Microsoft Data technologies and Tableau report-ing.
The solution implementation followed an iterative release
model.
Technology Platform
Microsoft SQL Server 2012
SQL Server Analysis Services
Methodology
Initial Discovery Phase
Dashboards Prototyping