Cut Through Spectrum's Technical Debt, and Evaluate Modernization Options with Ease.
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Sigrid for Spectrum
Meet Sigrid, the all-in-one software insights solution. By exposing hidden risks and opportunities in your source code, Sigrid gives companies like Spectrum continuous insights and recommendations on the performance of their software.
Comprehensive Software Portfolio Analysis
Sigrid provides ongoing insights into the current state of your company’s software quality, risk, and associated costs across your entire portfolio to enable actionable business decisions.
Technical Debt Management
Sigrid provides a current overview of all technical debt in your landscape along with ROI-based refactoring candidates to help IT leaders decide on specific improvements based on required return and available budget.
Continuous Improvement
By exposing hidden risks and opportunities in your source code, Sigrid gives you continuous insights and recommendations on the performance of your software portfolio.
Risk Assessment
Using a methodology based on the ISO 25010 standard, our Software Risk Assessment involves a thorough analysis of your application landscape to help you to solve complex IT strategy issues, such as:
• Late delivery of projects
• Slow pace of innovation
• Legacy system challenges
• Productivity issues
Benchmark Against the Market
Sigrid ranks your software capabilities against 10,000 systems and over 85 billion lines of code in our software analysis database to help you identify key initiatives for reducing risk and improving overall effectiveness.
Learn how Vodafone Uses Sigrid to Maximize Customer Value
With our help, Vodafone was able to improve ability to respond quickly to evolving customer needs, and enhance user experience. Check it out!
Why Sigrid?
By exposing hidden risks and opportunities in your source code, Sigrid gives companies like Spectrum continuous insights and recommendations on the performance of their software.
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Billion lines of code analyzed
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Technologies scanned
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System inspections performed
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Million lines of code analyzed weekly