Identify an area of HR data that you will investigate, (such as absence data, records of new starters or leavers, performance appraisal statistics), the time period you intend to investigate and the part of the organisation you will focus on.

Identify an area of HR data that you will investigate, (such as absence data, records of new starters or leavers, performance appraisal statistics), the time period you intend to investigate and the part of the organisation you will focus on.

Analyse this data to identify any trends, patterns, or causes, and present your findings in a written statement, with relevant supporting documents (for example, spreadsheets, tables, graphs or charts) to illustrate your analysis.

We have provided a data set sample for you to analyse. Please note data set does not include all fields from original source. Source data is from 2018 survey results

Data sample – Health and Wellbeing at Work.

Assessment criterion: 3.1 Analyse and interpret HR data.

When analysing and interpreting data, you should be extracting, reviewing, inspecting and shaping the data to discover useful information for you to be able to formulate conclusions and provide suggestions and recommendations to aid decision-making.

Identify an area of HR data that you will investigate, such as absence data, records of new starters, staff turnover or perhaps performance appraisal statistics. Conduct your analysis of the data over a period of time for comparative results; look at the key information you can extract, for example: year-on-year changes, compare departments, males verses females, full-time employees verses part-time employees, etc.

Throughout your analysis of the data, you should ask yourself the following questions to help you interpret the data:

“What does this tell me?”
“Why might this be?” and
“What could be causing this?”