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1.3.7 Research, Analysis and Information Management Skills

Research, analysis and information management skills measure the investigative skills required of the position. Here we are dealing with formal, structured investigation and analysis, not mere looking up of information in directories, files, etc, nor mere enquiry such as ’how much is the cheapest airfare to a particular destination’.

Research can include for example pure research in an academic sense, new product development, and market research. Analysis can include for example analysis into improved operational methods or organisation structures, analysis of a purely technical nature such as investment or laboratory analysis, and analysis of a more subjective nature such as competitor analysis. Information management to support effective decision making includes defining information needs, researching information sources, gathering information, evaluating information, analysing information, and drawing conclusions from information.

When selecting the level for this factor, consider only the types of research, analysis or information management activities that the position will most frequently encounter. Do not consider rare or infrequent occurrences at a higher level, unless the position is specifically designed to cater for such less frequent higher level occurrences at a fully competent level.

Table 1.3.7 Research, Analysis and Information Management Skills


The position is not one that deals with research or analysis activities.


Basic collection of information, primarily of one type, eg sales figures, pollen count, consumer item usage level, etc, from readily accessible sources, without interpretation of the information collected. Here information would be extracted from documents or computer files, or from online searches; or obtained through preset questionnaires. The data thus collected would be organised and analysed by others.


Collating and organising information from diverse sources, with possibly only limited analysis of the information, for example to construct tables or charts of the data or to calculate other simple descriptive statistics. Here information would be extracted from sources such as documents, computer files, online searches, archives, or through structured interviews. The data thus collected would be logically organised in preparation for possibly more advanced analysis by others.


Standardised analysis of data using prescribed analysis tools, such as standardised laboratory tests or quality control tests. Conclusions drawn fall into a set of expected outcomes. There is no subjectivity in the conclusions drawn from such analysis.


Non-standard analysis of data where a range of analysis tools needs to be selected from to assess the data. The position may need to specify the data to be collected using standardised collection methodologies. Some subjectivity may be present in the conclusions drawn. Examples include assessment of financial statements and sales data.


Analysing information using advanced procedures. Here analysis may include advanced statistical routines, analysis of markets, or evaluating the effects of a significant organisation restructure. May specify the data to be sought and design the data collection methodology.


Formulating and testing hypotheses. Examples include assessing the impact of a new product or competitor in the market, assessing a potential takeover or merger.


Postulating theories. Examples include assessing the impact of internationalisation of a business activity, or in a purely technical sense, postulating a theory of behavioural or physical science.

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