Using traditional statistical analysis, capSpire can help you find relationships and understand diverse data sets from outside sources, processes, or customers.
- We employ descriptive statistics and hypothesis testing because they are powerful techniques for determining if relationships exist in your data and where to pursue process improvements.
- We first define a conceptual model of the problem. Then we deploy approaches such as linear regression models that can specify the exact relationships and tradeoffs with statistical confidence.
- When our conceptual model is less certain, logistic regression can help identify events that may be casual.