Using Data to Support Organisational Change

Singapore University of Social Sciences

Using Data to Support Organisational Change (BXL632)

Applications Open: To be confirmed

Applications Close: To be confirmed

Next Available Intake: To be confirmed

Course Types: To be confirmed

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Adult Learning

Schemes: Alumni Continuing Education (ACE), Postgraduate Alumni Continuing Education (PACE)

Funding: To be confirmed

School/Department: Institute for Adult Learning

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Synopsis

The purposes of the collection and use of data in organisations, and the tools used to analyse the data, may be deployed for innovation, development and exploration, or as a means of control of employees. Metrics encompass numerical insights into what is happening as reflective of behaviour; analytics on the other hand, produce more sophisticated insights, such as explaining causes of events and projecting future event occurrence, thus aiding decision making. By applying what learners have learnt so far, they will learn to differentiate between rhetoric and reality in this often vendor-driven field. They will be exposed to HR literature and literature focusing on development and innovation in relation to the use of data and analytics. Using provided case studies and their own or a selected organization, they will evaluate the effectiveness of analytics in relation to learning, innovation and change and strategic purposes.

Level: 6
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

What is data analytics?
A critical perspective on trends in data collection, analysis and use of analytics
The possibilities and pitfalls of data analytics
Case studies – the good, the bad and the ugly
Techniques for data analysis
Working with data (set 1) - deciding what analysis for what purpose
Working with data (set 2) - deciding what analysis for what purpose
Working with data (set 3) - deciding what analysis for what purpose
Analysing an organisation’s use of data
Making decisions based on data analytics
Developing an evaluation rubric to evaluate an organisation’s use of data analytics
Applying the rubric and making recommendations

Learning Outcome

Critique literature on data analytics from different perspectives
Appraise analytical techniques and their fit for purpose
Examine trends in data analytics
Identify data and analytic techniques appropriate for strategic decision-making related to
Critically evaluate their selected organisation’s collection, analysis and use of data
Recommend improved selection, use and analysis of data