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Our mission is to help you reach your data goals.

We have the experience and industry insights to make your data work for you. Let us craft a solution that will elevate your data driven decisions through our services:

  • Data analysis
  • Data visualization
  • Model building & forecasting
  • Model evaluation and auditing
  • Training and executive education

Our goal is to help you better understand and solve your data problems through a meaningful and insightful solution crafted for you. We are not here to overwhelm you with analytical jargon, but to craft our solutions to meet your business needs.

Testimonials

What are they saying about us?

Manager Reporting and Analytics

AutoCanada

My colleague and I sat down and listened to Aric explain complex methodologies for identifying anomalies, fraud, and not fraud data points. I’ve experienced a lot of training sessions and courses in the past, but the way Aric teaches is so practical, intuitive, and easy to understand. He makes a technical topic fun and engaging. Prior to attending his session on Anomaly and Fraud detection, both my colleague and I thought that we are well qualified to conduct these things. I left the sessions with Aric very much impressed.

Engineering Science Curriculum Chair

SUNY Westchester Community College

The training provided was detailed and comprehensive. I was able to get a good grasp of modern Anomaly Detection methods in both Python and R. I would highly recommend the training to anyone.

Director of Credit Risk

VisionFund International

Aric’s engagement with VisionFund over many years has been highly appreciated, for the quality output, professionalism and opening our thinking in new directions. Aric completed credit scoring model case studies for two of our microfinance institutions and evaluated the model in a third. Aric has also been an advisor on the rollout of credit scoring in VisionFund and I have always found his advice to be spot on.

Work Process

When working with you our goal is to serve. Serving you involves three important steps.

Initially, we must listen and understand.

We would rather listen and ask too many questions then not listen enough and ask too few questions. We have seen too many consultants in the past try to push their solution before ever understanding the problem at hand. Our goal is to fully understand your problem as that is what drives our solution, not the other way around. Key insights we are trying to understand start with the following:

  • Goals of the current project.
  • Current process and implementation (if any).
  • How your team plans to use the results / training for your business.

Develop the best solution for you.

Developing the best solution for you completely depends on the first step above - listening. Our goal is not to develop the most advanced solution just for the sake of saying we did something advanced. Sometimes simple solutions are the best solution. We can develop advanced solutions if needed, but whatever solution we have it is what is best for you, not for us. That means the solutions can take a variety of forms using open source software to not put a financial burden on your team. Some examples of these solutions are the following:

  • Summarization of data and key comparisons.
  • Model used to explain relationships that exist in your data.
  • More complex modeling used primarily for prediction accuracy, but still with some notion of what is driving the model.
  • Custom trainings to help your team explore newer approaches to the same problems.

Explain and implement the solution.

Our goal when helping you use the solution is to help the business users know what they are getting. Getting buy in from end-users is key early on in the process of using any analytical solution. We are not coming in to replace anyone with solutions, but to help people do their jobs more efficiently and with more information. This makes this step the most important. Analytical solutions that are not implemented are not helpful for your team. Some example solutions are the following:

  • Presentation to talk about the results of the analysis and how this impacts your business.
  • Dashboard to help end-users visualize and use the results from the analysis.
  • Working alongside of the IT staff to implement the models built.