2. Our approach to DWH& BI projects
• Business Rules and requirements analysis
BUSINESS ANALYSIS • Multidimensional and E/R modeling
• Output analysys
DESIGN AND • Solution Design ad IMplementation
IMPLEMENTATION OF • Application infrastracture
ARCHITECTURE • Physical database design and construction
• Effort extimation
PROJECT • Roll-out strategy
• Project planning
MANAGEMENT • Project Management
11 febbraio 2013 2
3. Our approach to DWH& BI projects
• Business Rules and requirements analysis
BUSINESS ANALYSIS • Multidimensional and E/R modeling
• Output analysys
DESIGN AND • Solution Design ad IMplementation
IMPLEMENTATION OF • Application infrastracture
ARCHITECTURE • Physical database design and construction
• Effort extimation
PROJECT • Roll-out strategy
• Project planning
MANAGEMENT • Project Management
11 febbraio 2013 3
4. Case Study
Project Type Datawarehouse & Business Intelligence Implementation
This project, like the majority of our data warehousing work, started with our
Business Analysts gathering and documenting user requirements. Our data
warehouse specialists then architected, designed and built dimensional
Description data models and data marts. We used our source system analysis coupled
with business rules and requirements to create logical source-to-target
mappings and then built the physical extract, transform, load (ETL) jobs
with associated metadata to load the newly designed enterprise data
warehouse.
Customer:
Beltos was involved directly and in partnership with the client in all the
one of the leading project’s using also "accelerators" (engineering solutions proposed in other
companies in the contexts).
world of shipping with Approach The project was conducted in accordance with the Beltos’ approach and
a network of more than methodology for the DWH & BI. This has allowed us to create a unique
120 own offices team that reached the challenging objectives expected from Customer
worldwide
The project was able to achieve the expected goals of the customer, both in
terms of integrated, timely and cross-functional analysis and in terms of
Customer data quality analysis of source systems.
Value
The possibility to analyze correctly the profitability of the single shipment was
one of the best results
• BI Platform: SAP Business Objects BI 4.0
Technology • ETL: SAP Business Objects Data Services 4.0
• RDBMS: MySQL 5.1
5. Stay in touch
Luigi Cifuni
BI & DW Manager
www.beltos.com
marketing@beltos.com
Luigi.cifuni@beltos.com
