Data Science as a Service (DSaaS) 2018-01-10T11:37:50+00:00


Pandata’s DSaaS program recognizes that data science, and its functions, are both continuous and cyclical processes for our clients to smoothly navigate their ever-changing needs. DSaaS removes the painstaking pitfalls of bringing data science functions like data strategy, predictive analytics, preparing for/and running analysis, change management, and updating dashboards, in house.

What kind of pain points does DSAAS address?

  • Talent pool is very diverse and limited in number. DSaaS provides access to our comprehensive team, spanning the data science spectrum.
  • Rapidly changing internal organization structures. Pandata has the agility to collaborate with IT, business, and operations teams.
  • Data scientists are expensive to hire full-time. Our utility model allows you access to as much or as little time as you need.
  • The avalanche of tool and vendor choices can be daunting. We are well-versed in those options, and can even help train your team.

Who will my organization have access to on the Pandata team?

So why should my organization choose Pandata’s DSaaS program?

  • Free up internal time and resources
  • Access the right skill set at the right time, across our diverse team
  • Use our utility model to dial services up and down as needed
  • Interact with a dedicated Engagement Leader, who can connect business pain points to data solutions, and provide project management to prioritize requests and keep data projects on task and on budget
  • Gain complimentary access to a variety of software services, including Google Cloud Platform, Amazon Web Services, Tableau, PowerBI,
    and Shiny
  • Benefit from continuous investment in our team’s data science education–you reap the benefits of our bleeding-edge knowledge

To learn more about how Pandata’s DSaaS Program can help your organization, contact us at or click here.