Flextronic Case Studies Teradata Case Study

Teradata Case Study

Flextronic
Teradata Case Study
Teradata Case Study
Teradata Case Study
Construction & Buildings
Logistics & Warehousing
Process Control & Optimization (PCO)

Data is crucial to business performance today. It's often the key to unlock customer behavior, business drivers, and market trends. In an intensely competitive market, Teradata provides data warehouse and analytics solutions to 19 of the world's top 20 telecommunications companies, all six of the world's top airlines, and 18 of the top 20 commercial and savings banks. Its leadership position depends on near-perfect performance. That's why Teradata requires a fulfillment partner that can meet the fast pace of customer demand, make production processes more efficient, and deliver world-class data analytics solutions within tight deadlines.

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Teradata Corporation is a publicly held international computer company that sells analytic data platforms, marketing applications and related services. Its analytics products are meant to consolidate data from different sources and make the data available for analysis. Teradata has more than 11,000 employees worldwide.

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Teradata turned to Flex to consolidate its supply chain and deliver some of the largest data warehouse systems in the world. Flex integrated and accelerated the entire processes' assembling all hardware components, installing custom analytics software, testing complete systems, and staging products for on-time delivery to Teradata's customers. At the same time, Flex added value at the other end of the product life cycle by streamlining Teradata's refurbishment, spares, and screen and test businesses.

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On-Time Delivery (OTD), Operation Performance, Product Lifecycle, Supply Chain Optimization
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IT
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Emerging (technology has been on the market for > 2 years)
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Data Aggregation - Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.

Real-time Tracking - The location of individuals and assets can be identified in near real-time.

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