Analysis
Contents
Overview
Infoveave Analysis delivers insightful information supporting well-informed decisions. The proper visualization, amount and quality of data, the timely availability of data, and the timing of the analysis are critical components that constitute better decision-making.
Analysis tools in Infoveave allows you to create:
- What-If Formula
- What-If Analysis
- Machine Learning Modeller
- Machine Learning Analysis
- SciPyR
Infoveave Analysis
- What-If Formula: Infoveave lets you define the What-If formulas and variables that drive the expected outcome. To know more about, it see What-If Formulas.
- What-If Analysis: Use the What-If analysis tool to run the scenarios or analysis by tweaking the formula variables. To learn about executing the What-If analysis see the section on What-If Analysis.
- Machine Learning Modeller: Train using the inbuilt ML Model: Follow the link to explore more on Infoveave ML Modeller.
- Machine Learning Analysis: Use the Machine Learning Analysis tool to execute the trained ML models and review the predictions. See ML Analysis for more details.
- SciPyR: Use the SciPyR tool in Infoveave to write and run custom Python and R code to dive more deep into your data: See the link to understand how Infoveave supports the SciPyR.
What-If Formulae
Contents Overview The What-If Formula helps you to
What-If Analysis
Contents Overview Analysis of a What-If formula with
ML Modeller
Contents Overview Build powerful ML models in Infoveave
ML Analysis
Contents Overview The ML analysis process involves executing
SciPyR (Custom) Analysis
Contents Overview Infoveave offers advanced analytics with custom