GISS scanned the market for available options to improve its overall structural quality, improve transparency into the development and maintenance process, and help set standardized policies throughout its architecture. CAST helped GISS reduce time consuming multiple quality control cycles to a quick single cycle for 17% of GISS projects reducing lead time by 21%.
Using CAST AIP, the CTTI is able to analyze its application portfolio and classify applications by risk level. In addition, CAST enabled CTTIT to implement organization-wide process for quality assurance analysis and reporting.
RWE Supply & Trading, the leading European energy trading house, decided to take proactive measures to safeguard itself from IT failures caused by increasing systems complexity, which could potentially increase risk and inhibit future change. It opted for CAST’s Application Intelligence Platform (AIP) to perform structural software risk analysis on key systems.
Telecom providers must offer best-in-class customer experience to stand out, requiring tight integration across many systems. To achieve this capability, a Telecom giant is using CAST to mitigate risks, lower IT costs, improve relationships with outsourcers, and achieve better visibility with information needed to ask the right questions and make quicker decisions.
As a leading global credit risk insurer, Atradius is subject to heavy regulations. They are using CAST to help with regular audits and compliance in their application environment, along with automating and industrializing software development with objective metrics and information to improve application quality and team efficiency.
AREVA is a world leader in engineering, nuclear services, and heavy component manufacture. They are using CAST to manage their outsourcing relationship while retaining control of intellectual capital, providing assurance that changes are properly implemented, and accelerating knowledge transfer.
The insurance management system at Allianz Austria is used to manage over 10 million customers and process 8 million claims a year. Allianz implemented CAST as part of a Quality Management initiative and have seen substantial savings in time devoted to bug correction and have increased user satisfaction.
Maritz is one of the largest privately held companies in the Fortune 500, providing IT-intensive business services. Over time, multiple development platforms and standards emerged. CAST allowed Maritz to standardize development across business units, and most importantly, ensure the high level of security needed for compliance requirements.
Deutsche Bahn is one of the world’s largest mobility and logistics service providers. Rapidly changing market conditions require flexible, frequent and short-term adaptations to their existing systems. To achieve quick time-to-market, they implemented CAST to improve the overall quality of their applications and facilitate system flexibility and faster delivery.
Wells Fargo’s WYSTAR is one of the country’s largest retirement services companies, and has grown significantly through several M&As. Their technology stack became quite complex with multiple technologies and overlapping systems, so they used CAST to consolidate core technologies and reduce maintenance costs. On an ongoing basis, they can maximize internal resources and outsourced labor, while ensuring application quality continually improves.
Vienna Insurance Group needed to improve visibility of their SAP implementation, and CAST was selected to help manage the project. They use the data provided by CAST to make objective decisions based on facts, mitigate risks with early defect detection, eliminate manual code reviews, and reduce maintenance costs—all leading to reduction in the long term costs of the SAP solution.
The CTO at AXA Equitable Life Insurance was looking to swiftly navigate through changing market conditions, increasing the pace of product releases. AXA implemented CAST to help manage coding done by offshore partners, drive Six Sigma and CMMI efforts, bring process and discipline through objective data, and drive change and reduce costs while controlling risk.
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