Take a comprehensive approach to data science
Although all engagements are unique, the Pivotal Labs approach to data science follows a comprehensive framework.
Identify the opportunity.
We’ll work together to assess your organization’s existing and intended capability for data analytics and predictive modeling. Go beyond your technology stack and capacity to examine your broader business organization, skills, objectives, and obstacles. Discover data-driven business opportunities and identify predictive use cases, impactful smart applications, and other data value streams.
Unlock the dynamics of data.
We’ll work with your team to explore all available data for quality, completeness, and applicability to targeted usage scenarios. Then we’ll identify existing data features that support your targeted use case and modeling approaches, and engineer new data features as necessary.
Apply data's predictive power.
Working together in iterations, we’ll evolve and refine analytic models, and use designated training-vs-testing data to quantitatively measure their predictive performance against your targeted use case. Then we’ll embed the predictive power of the developed models in business logic and applications to deepen engagement and drive the desired outcomes. We’ll also cycle outcome data back into the predictive model to refine its accuracy and further strengthen smart application performance.
Partner with Pivotal data scientists
Our team has more than 40 data scientists with backgrounds across all industries and solutions. Whether it’s marketing analytics, bioinformatics, or text and video analytics, we’ll work directly with your data stakeholders and SMEs to seed and strengthen your organization’s data science practice. Learn the necessary tools and techniques to harness your data’s full potential.
“Around something important like education, we like the idea of using even more data sources to help inform decisions and improve student success with higher education. We also like the idea of using data to help faculty teach better.”
Gerry McCartney, Purdue University
Let's start with one project.
Contact us about Pivotal Data Science.