How Long Does a Typical Data Science Model Build Take from Start to Initial Implementation?

While building data science models can drive a lot of value for an organization, they unfortunately have a reputation for taking several months to build and deploy. If this is the case at your organization, there could be an opportunity to speed up your model development process. What some executives don’t realize is that many data science models need not take months to complete, even though this is often the case. Analytics and data science teams can create more models and more value by creating reusable modeling assets and using them to build a minimum viable product (MVP) model in a couple weeks (or less). Value Driven Analytics can provide engaging training to train your analytics and data science teams how to build data science models in an efficient manner, allowing them to build more models and realize more value.