Data Science

Machine Learning gives you deeper insights – letting you look ahead so you can make more proactive data-driven decisions.

Get a Data Science Readiness Assessment

The true potential of data is still untouched by many organizations. Powerful tools and data science techniques available today allow any company with a lot of data to get started with machine learning – not just those large organizations with vast resources.

What can you do with machine learning?

  • Customer churn analysis
  • Supply chain optimization
  • Risk modeling
  • Customer profiling
  • Personalized marketing
  • Route optimization
  • Fraud detection
  • Understand employee retention
  • ... and so much more

Our Data Science Services

We will assess your readiness, guide you away from costly processes and tools that won't bring value, and build models that reduce or eliminate human bias. We work with all traditional and modern data science tools on the market.
  • Data Science Readiness Assessment

    Discuss what you want to predict, and we'll tell you what it will take to get there. We'll review your current data, processes, technology, and infrastructure to identify initiatives you could undertake immediately and where you may need to invest more time and effort. Then, you get a plan to initiate a data science program that addresses your organizational goals.
    Sign up for a Data Readiness Assessment
  • Build and Deploy Machine Learning Models

    We can prepare your data and build powerful machine learning models using R, Python, or other modern tools on the market. By then integrating these models into your existing reporting platform, you gain richer analysis and more insight inside the tools you already know.

Our Ethical Approach to Data Science

Data science can bring huge benefits, but it can also result in quick failure without the proper planning and preparation. We'll spend time up front ensuring you are data science ready and make sure you understand the ramifications of machine-learning based decisions.

Our Steps to a Data Science Project

Demystifying Data Science

Check out this webinar to learn more about data science and machine learning - it is not as hard as you may think to get started; and once you do, you’ll see immediate business value.

Watch now

Customer Testimonial

"The visibility we are providing with this predictive analytics tool could change the way our field team goes to market."

Director, Revenue Management & Sales Intelligence, Anheuser-Busch InBev

Technologies We Work With

While we don’t anchor ourselves to a single tool or platform, our consultants have experience solutioning for various use cases using everything from open-source software to enterprise-ready options.

Data Science Readiness Assessment

85% of all data science projects fail. What can you do to prevent this?

It starts with knowing if you're ready. Get our expert guidance to identify initiatives you could undertake now, what gaps you need to fill, and what it will take to get there.

Sign Up

Contact Us

National Office Telephone | Mon-Fri 8:30am-5:30pm CT

Data Strategy Session

To thrive with your data, your people, processes, and technology must all be data-focused. This may sound daunting, but we can help you get there. Sign up to meet with one of our analytics experts who will review your data struggles and help map out steps to achieve data-driven decision making.

Learn More →

Fill out this form to get a 30-minute Data Strategy Session with one of our analytics experts.

Cloud Strategy Session

In one hour, get practical advice that you can use to initiate or continue your move of data and analytics workloads to the cloud.

During your free one-hour cloud strategy session, we will:

  • Review how the cloud fits into overall corporate strategy
  • Review how the cloud fits into data and analytics strategy
  • Review existing cloud assets
  • Discuss data and current analytics solutions to prioritize what components should be moved to the cloud

Fill out this form to get a one hour Cloud Strategy Session with one of our analytics experts.