Data Science & Analytics

Good data science
business choices.

At Prime, we know that data science goes way beyond just crunching data and producing precise forecasts for sales, churn, or defaults. Our proprietary data science approach was developed with the broader ambition to make sense of your data pragmatically, yet holistically, thus enabling you to solve concrete idiosyncratic problems and further enhance and articulate your distinct competitive advantage.

Our approach builds upon and expands CRISP-DM: we explore and analyze the data from all angles. Our partners business needs preeminently factor into this analysis. By employing advanced machine learning, we develop accurate analytical and predictive models. Finally, we continuously refine, so that our partners receive ever more accurate and timely actionable insights.

How does
it Work?

Our proprietary Be BOLD data science approach follows 6 Agile steps.

  1. Become

    fully acquainted with the business problem and its context by harnessing the top-notch data science and domain expertise of our stellar consulting team.

  2. Evaluate

    the data you have by reviewing both enterprise databases as well as other sources of relevant information, like your website analytics, social media, and consumer insights research.

  3. Build

    a clear picture of the data so that it is readily available to aid in addressing vital business issues, and so it can be modeled or visualized on the website, the internal performance dashboard, or on-the-go, via a mobile app.

  4. Operate

    machine learning models to perform classification, forecasting, sentiment analysis, or image recognition. Prototype and improve through rigorous experimentation until the optimal solution is identified.

  5. Lead

    swiftly into production - either on-premises or on the Cloud - and ensure constant model learning and reestimation to improve accuracy despite the inevitable changes in the environment.

  6. Drive

    the organization to quickly act on model findings by consulting on applications, service & process redesign, and change management.

Success story:

OKR Platform. Powerful Machine Learning Always on Target.
The algorithm takes the lead.
To turn their product vision into reality, our client needed help with data-driven enhancements that make the most of customer insights and place them ahead of the competition in a multimillion-dollar market category of their own. Our model service exists in a live Kubernetes cluster serving thousands of customer requests daily. Throughout robust code optimization and testing, we achieved a mean response time of 150 milliseconds per request and model accuracy of 92%. We continue to bring value to the customer by researching, building, testing, and delivering new, data-driven product features.

Let's talk about your Ideas.

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