DATA SOLUTIONS

We spend time in the problem space. Our process starts by understanding your business challenge, gaining historical context, discovering what outcomes you are looking to achieve, and aligning the team.

We get to know the data. Data sources for the business objective are documented and explored.  Our team will assess data quality and quantity for more complex analyses.  We will work with your team to identify gaps or opportunities within the data.

All data needs to be cleaned and prepared.  In this process we will identify outliers, join disparate data sets and create enriched data sets.  Working closely with your team, we will document and incorporate complicated business rules.

Based on the business challenge, we will determine, build, and test different modeling techniques.  Using feedback from your team based on the results, we will refine and iterate.

It is important the solution meets the business goals. We share the results with business stakeholders for approval.  Ideas for future iterations are documented and prioritized.

Deliverables are tested in production along with solutions for monitoring and maintenance.  Once ready, the solution is verified for performance and quality, it is deployed to end users for consumption.