range of sources internal 4.3 Conduct telephone interviews / enquiries or external to the 4.4 Extract data from company / industry / research reports company 4.5 Extract data from company systems 4.6 Extract data from public sources – internet 4.7 Capture new data e.g. take measurements, instrument readings etc. 4.8 Design, distribute and collate data via survey/questionnaire Process Stage Description Ref Activity and to 5.1 Sort and structure data to enable analysis gage e.g. arise. their to 5.2 Deal with incomplete or inconsistent data – make assumptions plan Critical and rigorous Actively access and you 5.3 Assess reliability/validity of data and assumptions they analysis of the data. parallel 5 - Analyse for as plan Generation of against 5.4 Deal with large data sets e.g. those requiring use of macro's findings, in the data stage. Ask visualisations useful to 5.5 Analyse qualitative data enables client per your interpret results issues 5.6 Analyse quantitative data against of happen This the priorities plans 5.7 Develop visualisations of data progress. can discuss with and 6.1 Identify anomalies in data Determine results and and to progress management consider what these might resolution solutions. detailed 6 - Interpret stages 6.2 Consider results in relation to hypotheses / questions posed in 2.3 mean for different as results and and writing. progress actions task stakeholders. Validate essential 6.3 Draw insights from results and identify further questions or issues. later refine the well is monitoring results. Refine project proposed and relationship project it as 6.4 Validate results from different stakeholder perspectives specification and report Some monitor planned and objectives if required the Discussion plan and of 6.5 Refine project definition, boundary, scope, deliverables etc. as required project project, Project critical. 7.1 Generate ideas using creative (divergent) thinking project the the required is Manage support. project including of of as contacts. the 7.2 Collect ideas of potential solutions from company sources informed preparation build 7 - Find and for project Identify feasible solutions overall stages stages 7.3 Search for potential solutions from outside the company priorities solutions client and an mid mid the the 7.4 Identify resource, operational and technical constraints refinements the the Keep presentation 7.5 Shortlist feasible solutions / options reaction reviewing In Develop In information implications manage make
range of sources internal or external to the company 4.3 Conduct telephone interviews / enquiries 4.4 Extract data from company / industry / research reports 4.5 Extract data from company systems 4.6 Extract data from public sources – internet 4.7 Capture new data e.g. take measurements, instrument readings etc. 4.8 Design, distribute and collate data via survey/questionnaire Process Stage Description Ref Activity Manage the relationship with the client Keep the client informed of planned actions and progress. Ask for access to information and contacts. Discussion and resolution of issues as they arise. In the mid stages of the project it is essential to discuss your findings, their implications for the project and proposed solutions. This enables you to gage reaction and build support. Project and task management Develop an overall project plan as well as detailed plans per stage. Actively manage the project including monitor progress and priorities against plan and make refinements as required In the mid stages of the project, monitoring progress against plan and reviewing priorities is critical. Some later stages can happen in parallel e.g. presentation preparation and report writing. 5 - Analyse the data Critical and rigorous analysis of the data. Generation of visualisations useful to interpret results 5.1 Sort and structure data to enable analysis 5.2 Deal with incomplete or inconsistent data – make assumptions 5.3 Assess reliability/validity of data and assumptions 5.4 Deal with large data sets e.g. those requiring use of macro's 5.5 Analyse qualitative data 5.6 Analyse quantitative data 5.7 Develop visualisations of data 6 - Interpret results and refine the project Determine results and consider what these might mean for different stakeholders. Validate results. Refine project specification and objectives if required 6.1 Identify anomalies in data 6.2 Consider results in relation to hypotheses / questions posed in 2.3 6.3 Draw insights from results and identify further questions or issues. 6.4 Validate results from different stakeholder perspectives 6.5 Refine project definition, boundary, scope, deliverables etc. as required 7 - Find solutions Identify feasible solutions 7.1 Generate ideas using creative (divergent) thinking 7.2 Collect ideas of potential solutions from company sources 7.3 Search for potential solutions from outside the company 7.4 Identify resource, operational and technical constraints 7.5 Shortlist feasible solutions / options
Handout_-_Short_Industrial_Placement_Activity_Framework_-_Sept_2013.docx