The agility and structures required for data science activities are vastly different from those of the traditional warehouse environment. For the data warehouse, changes can be implemented in 3-4 months as a standard practice. For data science activities, however, users need to be able to add data and make changes in less than a day.
Sentier’s data engineers have spent decades building analytic focused repositories from acquiring and securing the data to building analytic and report ready structures for direct feeds into models and dashboards. We also have deep experience in data operations focused on maintaining and updating repositories as required.
As part of our other services, we embed data setup and operations, and we can provide our expertise as a stand alone service either in our hosted analytic environment or on the client’s infrastructure.