A Model development and Deployment solution for reduced cycle time and information technology alignment
It’s no secret that properly deployed models create measurable and significant financial benefits.
But the average predictive model takes 3-6 months to build, and 6-12 months to put into production – enough time for fluctuations in the system or market to severely dilute its accuracy. Additionally, many businesses struggle with implementing analytic models in production systems, because analytics and IT departments tend to have few shared conventions or practices.
As a result, many companies are not realizing the full economic potential of their analytic model assets.
In order to fully capitalize on this economic potential, businesses must develop common processes for communicating and integrating model deployment practices across multiple constituencies in analytics, IT, information security, and the customer-facing field.
Structure and discipline in your model’s communication and performance
Having implemented over 50 successful model development and deployment projects throughout the US and Canada, Corios’ Tempo solution allows your team to:
- Gain confidence in your model deployment process, and establish clear connections between models and the business decisions they inform
- Blend the approaches between analytics and IT departments to align capabilities and form a common language
- Accelerate your analytics development and deployment process
- Improve model accuracy through detailed historical data
- Increase efficiency by providing updates to financial advisors daily through reduced cycle time
More about our Tempo Solution
Client Case Study: Massively parallel model development & Deployment
Learn how one of the nation’s largest investment brokerage companies leveraged Tempo to achieve a 24-hour model scoring window and 10-20% increase in model performance.
Blog Post: Reducing time-to-delivery of customer analytics from 26 hours to 10 seconds
Read how Corios helped a client transform their customer analytics database from a virtually unusable resource into one that is agile, responsive and fast.
OPERATIONALIZING ANALYTIC ASSETS
Learn to build a repeatable, closed-loop process for multiple predictive models in our RedPaper, “Operationalizing Analytic Assets.”
Model Deployment: The Moment of Truth
To dig deeper into how model deployment affects the bottom line of your business, check out our RedPaper, “Model Deployment: The Moment of Truth.”