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The following tables show the capabilities in one of the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful if you want to focus in on a particular category to assess an individual or a team.

Category: Analyse [PDF 644 KB]

Contents

Capabilities

Integrate data
Use data processing methodologies
Perform data exploratory data analysies
Conduct business intelligence data analysis
Conduct statistical data analysis
Conduct specialist data analysis
Understand and apply data editing methods
Use data quality assurance measures
Employ data and information management concepts

Capabilities

Integrate data

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.

Use data processing methodologies

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.

Perform exploratory data analysis

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.

Conduct business intelligence data analysis

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.

Conduct statistical data analysis

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.

Conduct specialist data 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).

Understand and apply data editing methods

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.

Use data quality assurance measures

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.

Employ data and information management concepts

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.
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