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Model Metrix Unveils New Modeling-as-a-Service Offering

Model Metrix today announced it has launched a new Modeling-as-a-Service offering.  Modeling-as-a-Service (MaaS) is an innovative delivery of financial and operational models on a subscription basis.  Model Metrix designs, builds and manages models according to client specifications and provides comprehensive training for users and stakeholders.  Models are securely accessed on the Cloud and can be integrated with core systems such as ERP, CPM, CRM, data warehouses and others. 

“Our mission is to deploy high fidelity models and model-based processes that provide the deeper insights that lead to better decisions,” stated Steve Bailey, President of Model Metrix.  “Modeling-as-a-Service is a cost-effective offering that frees up finance and operations teams to focus on core, value-added responsibilities. Clients leverage our modeling expertise while saving time and money by eliminating the need to hire specialized modelers.  By engaging Model Metrix as their delivery partner for high value models, we enable them to focus on the initiatives that support growth.”   

Model Metrix MaaS is ideal for:

  • Project finance modeling (startups, feasibility, capital asset) 
  • Highly dimensional modeling challenges (regions, products, currencies, etc.) 
  • Complex model-based processes (proposal development, leasing, capital planning) 
  • Waterfall models (cohort, subscriptions, enrollment) 
  • Large, integrated FP&A models (multinational, multi-system, multi-currency) 
  • Dynamic, visual scenario analysis 
  • Models that require data from many systems and/or 3rd party data 
  • Models with diverse stakeholders (users, viewers, internal/external stakeholders) 

About Model Metrix 
Model Metrix provides integrated modeling and analytic solutions that fill the capability void between broken spreadsheet-based processes and less flexible performance management solutions.  The Model Metrix 5 Layered Design Approach ensures models are built to the highest standards of accuracy, usability and efficacy.  

For more information about Model Metrix, please visit www.modelmetrix.com or email dphillips@modelmetrix.com. 

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