Today business and IT leaders don’t just want to know that their costs are in line with the market. Increasingly, they want to see how they compare in areas of innovation, agility, standardization and quality. And from that comparison have the ability to identify opportunities for future improvement.

Multi-dimensional comparisons that are forward-looking require a new approach to benchmarking—one that’s directed at uncovering new and better ways of operating versus a historical review of how things have been done.

Through benchmarking companies seek to compare their business processes and performance metrics to industry best and/or best practices from other industries. Quality, quantity and cost are the most common dimensions of the comparison that allow companies to explore how their own results compare to best in class companies.

Identify Opportunities for Improvement

Dynamic benchmarking enables enterprises to holistically compare business and IT layers to reveal interdependencies and provide transparency across complex systems to yield true business value.

End-to-End Modeling

By using advanced mathematical methods of modeling, benchmark comparisons can now be made on multiple dimensions, including the following:

  • Corporations
  • Services
  • Processes
  • Implementations
  • Infrastructures
  • Platforms

With enterprise-wide visibility, a host of associated complementary activities become possible and work collectively to drive smarter transformational change including: testing, reviewing, project management, sunsetting, budgeting and business cases justification.

Reveal Inefficiencies & Remedial Options

Pairing predictive analytics with advanced mathematical modeling capabilities enables companies to cost effectively perform benchmarking and explore opportunities to achieve performance improvements within dynamic environments. Mathematical approaches are able to reveal current system inefficiencies and provide a future-oriented view into how changes across services, architecture and infrastructure will impact performance.

Optimize Strategies

Benchmarking data in combination with pre-built models and templates allow companies to quickly (within a matter of weeks) and exhaustively explore different services, processes, architecture patterns and infrastructures in combination with factors such as demand side, organizational readiness and willing for change, best practices and lessons learned from similar implementations. In much the same way CAD/CAM is used in engineering and design, this process allows businesses to test ideas, validate plans and build operational models to perfect strategies before any invest­ments are made.

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