Quantitative Analysis

Professional quantitative modelers and analysts working with today's tools and methodologies face a number of challenges:

• Time to market pressures where model development time exceeds the opportunity window.
• The pace of change and its unpredictability. Modelers need to "aim for where the puck is heading," a goal made all the harder when the "puck" is changing direction from moment to moment.
• The availability of data. Either data is unavailable, or so much data is available that processing it in a model becomes an overwhelming task.
• Inadequate tools (typically spreadsheets) make complex models almost impossible to manage: change control, collaboration, and QA are very difficult.
• Reliance on internal IT resources often adds additional time, expense, and complexity to modeling projects.
• Consulting services are expensive and do little more than transfer the above difficulties externally, often to people with much less understanding of your business than you have.

However, at Quantellia, we believe these challenges pave the way to many new opportunities: to take advantage of new technologies in visualization, powerful computing, cheap and available data, design methodologies, and Information as a Service (IaaS) - standards that allow collaborative internet-based model building and data sharing.

Read through the details of our Decision Engineering methodology here or Contact our Analysis team to learn more.