Introduction
Thank you for taking the Wharton People Analytics survey, for which you requested a copy of your results. This report summarizes your results based on a preliminary analysis of the data.
In addition to this report, we intend to do a comprehensive analysis and publish our findings. We will follow up with you with our published findings for an in-depth analysis of the state of people analytics at companies today.
Five Maturity Factors
The following maturity factors reflect participants’ self-reported perceptions of:
- Advocacy - including presence of external
stakeholder (i.e. across the organization) and leadership support for
the people analytics team
- Breadth of Data Sources - including diversity of
data sources used for people analytics analyses.
- Data Maturity - including degree of access to
relevant data, data cleanliness and governance policies.
- Impact - including value added, managerial
influence and hierarchical reach of people analytics outputs across the
organization.
- Sophistication - including breadth of topics analyzed and variety of products used by the people analytics team.
Your Composite Maturity Score
This report uses a density plot to show the distribution of composite scores. A density plot visualizes the shape of a distribution, the range of values, and the presence of any peaks or clusters. Peaks or clusters represent that a concentration of participants earned that score.
The vertical line represents your standing compared to other survey participants’ composite score. To the left of your vertical line are participants with a lower composite score and to the right are participants with a higher composite score.
Your Five Maturity Factors Scores
This report uses a continuum to visualize your performance on each of the Five Maturity Factors. You will be shown your percentile and whether that percentile is considered “below average”, “average”, or “above average”.
Caveats and Limitations
- Work in progress: Data collection is still in
progress; therefore, global averages may continue to shift.
- Non-representative sample/missingness: Our
population of interest consists of organizations highly engaged in
people analytics. Organizations with less mature, or non-existent,
people analytics groups are unlikely to be included in the survey.
Therefore, the normative scores are likely most relevant to
organizations with relatively mature PA groups. .
- Interpretation of the indices: The indices created based on the survey responses, such as the Maturity Impact index, Sophistication index, Breadth of Data sources index, and Data Maturity index, may not fully capture the nuances of the responses or the underlying constructs they aim to measure.
Thanks!
Thank you again for participating in Wharton People Analytics’ survey. We hope that this interim report and our upcoming published findings will support your organization’s People Analytics function.
For any further information, please contact WPA-research@wharton.upenn.edu.