Hexaware analyzed an international mining company's HR data reporting needs and designed a new data warehouse model. They assessed the existing data warehouse system, studied current reporting challenges, and analyzed SAS programs for data extraction. Hexaware then designed a new data warehouse model and modified over 600 SAS programs to work with the new model. This addressed the business users' analytical needs and optimized existing programs for improved data loading and reporting performance.

1. Case Study Manufacturing YOUR SUCCESS IS OUR FOCUS
Development of HR Analytics for a leading International Mining Company
Client Overview
Leading International mining company, USA
Hexaware Approach
The Challenge
Heaxaware analyzed the organization’s current Data Warehouse ecosystem and designed a
new data model that supports the reporting needs of various business users. The activities that The organization’s existing reporting
encompass include: requirements was addressed largely by
ERP suites, PeopleSoft and SAP. The
Assessment of the current data warehouse system
current reporting environment could not
Studying the challenges involved in reporting and delivery mechanism across the current and satisfy the enterprise HR needs in terms of
the desired environment analyzing various domain areas like
Analyzing SAS programs that are used for data extraction compensation, benefits, payroll and safety.
Designed the data model of the new Data Warehouse
Value Delivered
Modifying 600+ SAS programs to read from the new data model
Client Benefits
Solution Framework
The new data model addressed the
The As-Is and To-Be environment in the customer environment were analyzed using Hexaware’s analytical needs of the business users
unique 10-point framework.This consultative methodology helped Hexaware in analyzing Optimized existing programs which
the BI landscape from multiple perspectives using both qualitative and quantitative inputs. improved performance of data load as
Hexaware executed the engagement in the following stages: well as the information delivery process
Comprehensive evaluation of the AS-IS Architecture Reports delivered on time
Evaluating architecture options
Determine gaps between existing data warehouse and desired data warehouse environment
Design and Deploy Proof-Of-Concept (POC)
Develop New Data Warehouse based on POC
Deploy new data ware house after system integration testing
Provide documentation post deployment
Technology Environment
SAS Base, SAS Macros, SAS /Access,
SAS/Connect, Sun Solaris 7, Oracle 9i
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