First, Pivotal’s data science team works with you to inspect and assess your organization’s existing and intended capability for big data analytics and predictive modeling. This thorough evaluation goes beyond your technology stack and capacity to encompass your broader business organization, skills, objectives and obstacles.
Next, we work to discover data-driven business opportunities, triangulating off your data "ground truth" and business objectives, to identify predictive use cases, impactful smart applications, and other data value streams.
Pivotal data scientists, in conjunction with your team, explore all available data for quality, completeness and applicability to targeted usage scenarios.
Next, together we identify existing data features supportive of your targeted use case and modeling approaches, and engineer new data features as necessary. We’ll also incorporate additional data sources to strengthen the emerging analytic approach.
Working together, we iteratively evolve and refine analytic models, employing designated training-vs-testing data to quantitatively measure the model’s predictive performance against your targeted use case.
Finally, Pivotal data scientists work with your team to embed the predictive power of the developed models in business logic and applications to deepen engagement and drive desired outcomes. We’ll also cycle outcome data back into the predictive model to refine its accuracy and further strengthen smart application performance.