This report contains a full Information Value (IV) Analysis. IV is a data exploration technique that helps identify which columns in a data set have predictive power or influence on the value of a specified dependent variable. This approach is useful to determine which Workplace Analytics Metrics are correlated to a specific outcome variable.

Among other things, this report should allow analysts to answer:

  • What collaboration habits explain positive / negative answers to questions in an engagement survey?

  • What collaboration habits differentiate top-performers from low-performers?

  • What collaboration habits distinguish members from a specific group to others?

Data Overview

The data used is a Person Query.

There are 1034 employees in this dataset.

Date ranges from 2019-11-03 to 2020-01-26.

There are 9 (estimated) HR attributes in the data: Domain, FunctionType, LevelDesignation, Region, Organization, attainment, TimeZone, IsInternal, IsActive

There are 1034 active employees out of all in the dataset.

Variable name check:

Collaboration_hours is used instead of Collaboration_hrs in the data.

Instant_Message_hours is used instead of Instant_message_hours in the data.

Top Predictors

WOE Analysis

Summary - Predictors

Email hours

Meeting hours

Instant Message hours