Our approach begins with a comprehensive review of your existing research and data to determine the types of analyses that can be supported. The objective is to identify variables or metrics that currently exist or can be created for use in the modeling process. We also will conduct a gap analysis to determine if there are additional data components that may be required.
Our aim is not to reinvent the wheel. Rather, we leverage your research and data assets to understand current business structures to create the most sensible and operationally feasible solution possible.
The five steps in the Data Assessment process essentially comprise a complete prioritized “Data Gap Analysis.”
- Confirmation of the objectives
- Identification of the data elements required to meet those objectives
- Evaluation of currently available data assets
- Gap analysis
- Recommendations
Upon completion of the data assessment, we will provide clear and practical recommendations to enhance data collection techniques for frequently missing or unreliable variables and ways to enhance the available data assets with external data sources.
We make it easy to know your data better. We also make it painless.
