Category: Analyse

New

• Has a basic understanding of how data can be linked with other data and the value of that operation.     

Proficient

• Can perform data integration using standard tools and can implement quality controls.
• Knows where to obtain expert advice on data integration as needed.

Expert

• Can perform and provide expert advice on data integration.

New

• Is aware of the proper processing methodology for the data being used and understands its application
• Knows where to obtain advice on processing methodology as required.

Proficient

• Can make and justify suggestions for improvements in how data is processed.
• Understands how processing methodology affects the quality of the outputs.   

Expert

• Is consulted regularly by others about processing methodology and can assess it critically to identify improvements.
• Can explain how processing methodology relates to the quality of data outputs.

New

• Can choose from data analysis techniques.
• Can use (or learn how to use) appropriate analytical tools to investigate data.

Proficient

• Can identify and implement suitable techniques and tools for exploratory analysis on large/complex datasets.
• Can validate unexpected results.

Expert

• Is highly competent at performing exploratory analysis on large/complex datasets.
• Can communicate findings to a range of audiences.
• Can train others in exploratory data analysis techniques.

New

• Can use common applications to generate basic analysis outputs like tables with calculations and static charts.
• Understands reports and dashboards created with business intelligence tools.

Proficient

• Can use business intelligence applications to create complex reports and dashboards.

Expert

• Exhibits expertise in multiple business intelligence applications.
• Can train others in developing outputs using those applications.

New

• Understands basic statistical measures and their application to data.

Proficient

• Can use specialist statistical applications for statistical models.
• Can write custom scripts and code in a statistical computing language to conduct complex analytical tasks.

Expert

• Contributes to the development of new functionality for statistical analysis applications, which enables new ways of doing analysis.

New

• Understands the need for special data analysis methods and tools in some situations (e.g., time series forecasting or spatial).

Proficient

• Can develop, fit, diagnose, and troubleshoot a model in a new data analysis scenario that requires a specialist method (e.g., time series forecasting or spatial statistics).

Expert

• Innovates in developing new methods in a specialist data area (e.g., new approaches to time series forecasting).

New

• Knows where to access relevant methods and understands the basics of those methods.
• Knows who to consult for expert knowledge.

Proficient

• Has a comprehensive knowledge of the different editing methods at their disposal.
• Understands why different methods are used and can describe the limitations of each method.
• Knows where to find expert advice about data editing as required.

Expert

• Is an expert resource on different methods of data editing and is consulted regularly by others.
• Can assess current editing methods critically.
• Can train others on data editing concepts and methods.

New

• Understands the concept of data quality and its importance.
• Knows where to access data quality measures for the data they use.

Proficient

• Can describe and produce data quality measures for the outputs they produce.
• Has a comprehensive knowledge of relevant data quality measures and can use them to make accurate assessments of data fitness-for-purpose.

Expert

• Is an expert resource in the use of measures for data quality assurance, the interaction of those measures, and their application in conjunction with one another.
• Can advise others on the use of data quality measures to make accurate assessments of data fitness-for-purpose.

New

• Can access data and information management principles and associated guidelines.
• Knows where to obtain advice on the application of good data and information management practice.

Proficient

• Has a comprehensive knowledge of the organisation's data and information management principles and guidelines and can apply them to support good data practice.
• Can advise others on the proper application of data and information management concepts.

Expert

• Is an expert resource for implementing and shaping the organisation's strategic use of data and information management good practice, and can advise others
• Represents a point of contact for data and information management leads in other organisations.