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Cognizant > Case Studies > Fusion Middleware Integration on Cloud for Pharma Major

Fusion Middleware Integration on Cloud for Pharma Major

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 Fusion Middleware Integration on Cloud for Pharma Major - IoT ONE Case Study
Applicable Industries
  • Pharmaceuticals
The Challenge

Customer wanted a real-time, seamless, cloud based integration between the existing on premise and cloud based application using SOA technology on Oracle Fusion Middleware Platform, a Contingent Worker Solution to collect, track, manage and report information for on-boarding, maintenance and off-boarding of contingent workers using a streamlined and Integrated business process, and streamlining of integration to the back-end systems and multiple SaaS applications.

The Solution

Cognizant deployed Oracle Fusion Middleware on Oracle-on-Demand Cloud Platform using Cognizant's proven STEER methodology, integrated Contingent Worker information with other SaaS based applications, integrated LDAP for security controls across on-premise and cloud apps. Software Components - Oracle Fusion Middleware Platform - Oracle SOA 11g. - Oracle Service Bus 11g. - Oracle BPEL, BAM, EM. - Cognizant Worker Solution

Data Collected
Employee Clearance, Revenue per Employee, Turnover, Human Resource Data
Operational Impact
  • [Management Effectiveness - Internal Collaboration]
    Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.
  • [Efficiency Improvement - R&D]
    Further application development and upgrade are possible due to quick adaptation to external environments.
  • [Data Management - Data Analysis]
    Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
Quantitative Benefit
  • The turnaround time for the end to end business process reduced from over 72 hours to less than an 1 hour.

  • Effort needed to maintain contingent worker data reduced by more than 30%.

  • Effort needed integrate contingent worker data to other key applications reduced by 40%.

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