People and workforce analytics: plain text
- Foilsithe:
- An t-eolas is déanaí:
- Understanding and using data
- Analytical consulting
- Research design
- Data analysis
- Data science
- Data visualisation
Using data about people and the business to inform organisation decision-making
Understanding and using data
Level 1: At this level you’ll understand
How to access, clean and organise data securely and the sources and types of data in your organisation
Level 2: At this level you’ll understand
How to access and explore data using business intelligence tools, create queries to generate data and reports, always using and sharing data responsibly
Level 3: At this level you’ll understand
How to responsibly integrate people data and other data sources to generate insights about the organisation's workforce and people
Level 4: At this level you’ll understand
How to create and maintain data integrity across the organisation, and use data ethically to drive strategic and operational decision-making
Analytical consulting
Level 1: At this level you’ll understand
How to apply analytical skills to identify and understand straightforward people issues within the organisation
Level 2: At this level you’ll understand
How to work with stakeholders to develop questions and hypotheses, and provide insight into people-related issues using relevant data
Level 3: At this level you’ll understand
How to curate data to give strategic advice which shapes solutions to people issues
Level 4: At this level you’ll understand
How to govern the way data is used to resolve and manage people issues across the organisation
Research design
Level 1: At this level you’ll understand
How to carry out basic quantitative and qualitative research methods, such as benchmarking techniques
Level 2: At this level you’ll understand
How to break down people-related issues into a clear structure, and formulate questions to inform research design
Level 3: At this level you’ll understand
How to conduct research design and use appropriate qualitative and quantitative techniques to address issues
Level 4: At this level you’ll understand
How to shape research design and the people research agenda across the organisation using innovations in practice
Data analysis
Level 1: At this level you’ll understand
How to conduct data analysis (e.g. descriptive statistics, correlations) and interpret the results
Level 2: At this level you’ll understand
How to conduct complex data analysis (e.g. using statistical software or programming) to provide insights into people and organisation issues
Level 3: At this level you’ll understand
How to identify complex patterns and relationships in data (e.g. using machine learning models, network analysis) to generate insights into people and organisation issues
Level 4: At this level you’ll understand
How to influence and shape business strategy through insights derived from organisation data analysis
Data science
Level 1: At this level you’ll understand
How to interpret basic people data models (e.g. analysis of data showing changes over time)
Level 2: At this level you’ll understand
How to create data models using analytical techniques (e.g. statistical modelling, predictive analysis)
Level 3: At this level you’ll understand
How to interpret and apply complex data modelling to people issues in the organisation
Level 4: At this level you’ll understand
How to interpret organisation stakeholder requirements and provide appropriate data models (e.g. through self-service dashboards) to meet their needs
Data visualisation
Level 1: At this level you’ll understand
How to use appropriate visualisation methods (e.g. dashboards, reports) to turn data into usable insights for stakeholders
Level 2: At this level you’ll understand
How to design and implement data visualisations (e.g. dashboards, reports), to help stakeholders make better decisions about people issues
Level 3: At this level you’ll understand
How to use storytelling approaches alongside data visualisations to influence decision-making on people issues
Level 4: At this level you’ll understand
How to innovate and use emerging good practice in data visualisation to influence strategic decision-making