Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners
MSS408010 Mapping and Delivery Guide
Analyse data for relevance to organisational learning
Version 1.0
Issue Date: May 2024
Qualification | - |
Unit of Competency | MSS408010 - Analyse data for relevance to organisational learning |
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Description | |||
Employability Skills | |||
Learning Outcomes and Application | This unit describes the skills and knowledge required to analyse data generated from formal information monitoring and management systems, such as statistical process control (SPC) and six sigma, or Systems Control and Data Acquisition (SCADA) software and determining its relevance for organisational learning.This unit applies to managers, team leaders and people with a similar sphere of influence and scope of authority and responsibility. It covers the capturing of knowledge from data generated within organisation systems and takes a largely quantitative view of information. The unit applies to individuals who are familiar with the application and use of statistics in operations.This unit may also be applied to service organisations applying competitive systems and practices principles.No licensing or certification requirements exist at the time of publication. Relevant legislation, industry standards and codes of practice within Australia must be applied. | ||
Duration and Setting | X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting. |
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Prerequisites/co-requisites | |||
Competency Field | Competitive systems and practices |
Development and validation strategy and guide for assessors and learners | Student Learning Resources | Handouts Activities |
Slides PPT |
Assessment 1 | Assessment 2 | Assessment 3 | Assessment 4 | |
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Elements of Competency | Performance Criteria | |||||||
Element: Capture learning |
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Element: Apply learning |
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Element: Identify learning from own organisation data |
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Element: Read and interpret data for discontinuities, trends and signs of assignable cause | ||||||||
Element: Examine selected data events to determine root causes of data events | ||||||||
Element: Communicate root causes of data events to stakeholders | ||||||||
Element: Identify learning from value stream data |
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Element: Identify data which might be useful but is not available and seek access to it | ||||||||
Element: Obtain, read and interpret available data for discontinuities, trends and signs of assignable cause | ||||||||
Element: Examine selected data events to determine root causes of data events in liaison with value stream personnel | ||||||||
Element: Ensure learning is captured by organisation’s systems | ||||||||
Element: Obtain involvement and required approvals from process and system owners | ||||||||
Element: Check that learning flows to all stakeholders |
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Element: Brief process and system owners on changes and obtain required approvals | ||||||||
Element: Check learning is used in daily operations | ||||||||
Element: Review use of learning in liaison with value stream personnel and update in knowledge system | ||||||||
Element: Identify implications for training and procedures | ||||||||
Element: Recommend improvements to value stream and knowledge system |