Vikram Pamarthi, Director of Information Management & BI

Elizabeth Rendon

Headquartered in Alameda, CA, UTStarcom, Inc. designs, manufactures and sells telecommunications infrastructure, handsets and customer premise equipment and provides services associated with their installation, operation, and maintenance. The Company's products are sold primarily to telecommunications service providers or operators. It sells a range of products that are designed to enable voice, data and video services for its operator customers and their subscribers around the world. UTStarcom sells its products in several markets, which include North America, Japan, India, Central and Latin America, Europe, the Middle East, Africa and Southeast and North Asia. The Company's business segments include: Network Solutions, Personal Communication Division (PCD), Handsets and Global Services & Support International (Services). The need for a BI solution at UTStarcom stemmed from the need to holistically manage operations and execution of company goals and objectives. The business challenges included data inconsistencies, islands of information, and a very limited IT and business focus on enabling enterprise wide reporting.

Several key factors led UTStarcom to select Oracle BI Applications:-

• Faster time to market with the pre-built analytics application
• Scalable data model to accommodate diversified business requirements
• Product flexibility to integrate data from various applications and ability to cross-reference various data sources.
• Short learning curve
• Vendor support UTStarcom has successfully deployed Oracle BI Order Management, Supply Chain, and Financial Analytics for 30 users.

The project was completed in 4 months, with 6 resources. The company is now expanding their implementation with the future roll out of Oracle BI Sales and HR Analytics. To date, the benefits achieved include an integrated view of enterprise performance leveraging data from various applications (including Oracle EBS); the ability to perform cross functional analysis such as Bookings to Revenue, and Service attachment rate; the elimination of silos of data and associated costs.