Priority 1: Capability and Culture
| Measure | Outcome from Data Strategy 2018–2020 | Target for Data Strategy 2021–2024 |
|---|---|---|
| Self-reported data capability – the percentage of employees who report strong confidence in using data to support their daily work | 45% | 55% |
| Formal data training uptake – the proportion of DISER employees who completed one or more formal data training courses | 21% | 25% |
| Formal data training effectiveness – proportional improvement in self-reported data capability following formal data training | 100% (from 3.6 to 7.2 on a 10 point scale) | 125% |
| Awareness of importance of data – the percentage of employees who consider data to be important in their role | Not applicable under Data Strategy 2018–2020 | New activity under Data Strategy 2021–2024 |
| Use of e-learning materials – views of Power BI training videos as a proportion of employees | 17% | 60% |
| Power BI bootcamp – the number of times annually Power BI bootcamp training is offered | 1 | 3 |
Priority 2: Governance
| Measure | Outcome from Data Strategy 2018–2020 | Target for Data Strategy 2021–2024 |
|---|---|---|
| Dataset quality assurance – proportion of flagship datasets in Dataset Register that have been quality assured and incorporate comprehensive metadata | Not applicable under Data Strategy 2018–2020 | New activity under Data Strategy 2021–2024 |
| Accessibility of internal data sources – the percentage of employees who know how to access internal data sources | 59% | 70% |
| Capability to use external data sources – the percentage of employees who know how to access external data sources | 77% | 85% |
| Confidence in internal data quality – the percentage of employees who agree that the internal data they access on a regular basis is of high quality | 40% | 50% |
| Confidence in internal data collection – the percentage of employees who agree that the collection of data across the department is effective | 62% | 70% |
| Leadership awareness of key data governance resources – the percentage of SES respondents who are aware of the Data Governance Framework and Dataset Register | 15% | 50% |
Priority 3: Analytics
| Measure | Outcome from Data Strategy 2018–2020 | Target for Data Strategy 2021–2024 |
|---|---|---|
| Use of analytical reporting platform – proportion of employees who are active Power BI users | 30% | 35% |
| Creation of analytical and visualisation contents – the total number of Power BI reports and apps created | 1381 reports and 100 apps | 2000 reports and 150 apps |
| Active participation in analytics communities – the total number of participants in Data Analytics Guild | 122 | 160 |
| Self-reported team analytical capability – the percentage of employees who feel confident their work area has sufficient skills and resources to analyse data effectively | 33% | 40% |
| Self-reported level of analytical maturity – proportion of employees who report their work area is undertaking predictive analysis | 11% | 20% |
| Dataset automation - number of datasets where automation is built in to collation and/or analysis | Not applicable under Data Strategy 2018–2020 | New activity under Data Strategy 2021–2024 |
Priority 4: Location-based insights
| Measure | Outcome from Data Strategy 2018–2020 | Target for Data Strategy 2021–2024 |
|---|---|---|
| Awareness of importance of location data – the percentage of employees who consider location data to be important in their role | Not applicable under Data Strategy 2018–2020 | New activity under Data Strategy 2021–2024 |
| Self-reported team location data capability – the percentage of employees who report their area has at least moderate capability to undertake location data analysis and visualisation | 23% | 30% |
| Complex location data support – the total number of requests received annually from line areas for complex location data support provided by Data Policy Branch | 40 | 50 |
| Location data tool availability – the percentage of employees who report they have the necessary tools to perform location data analysis activities relevant to their role | Not applicable under Data Strategy 2018–2020 | New activity under Data Strategy 2021–2024 |
| Automated address validation and geocoding – the proportion of program and administrative areas reporting automated address validation and geocoding at the first point of data collection | Not applicable under Data Strategy 2018–2020 | New activity under Data Strategy 2021–2024 |
| Specialist location resources – the number of ongoing specialist location resources | 10 | 18 |
Notes
- Where possible, these measures are baselined against information collected in the Data Strategy 2018-20 review report, Data Use and Capability Survey (2020), Division Head Survey (2020), APS census results and other relevant internal surveys and resources from across the department.
- Baselines and targets for new measures will be established in the annual Data Use and Capability Survey (2021) and other relevant surveys and resources from across the department.
- Where possible, performance will be measured at a divisional level across the department.