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Domain:
Digitalisation; Compliance and Enforcement; Policy & Planning; Service Delivery
Content Type:
Classroom
Course Code:
CRDMA10
Who Should Attend:
You are a Singapore Public Officer in a senior management (Director and above) role. You are keen to find out how data analytics can support organisational decision-making.
Programme Overview
Analytics has been growing in popularity over the past decade,and many organisations saw it as THE competitive advantage for the future. So much so that organisations have invested heavily into building such capabilities, including investing intechnology, training staff in analytics, and hiring analytics talent.
However, many continue to struggle to realise sustainable value from analytics. A 2019 survey of 65 Fortune 1000 companies revealed that while leaders recognised the value of analytics for their organisations, they faced challenges in analytics adoption and realising many of the promised outcomes due to:
- Lack of organisation alignment
- Cultural resistance - not committed to making decisions or changes based on data
- Understanding of how to strategically deploy analytics
- Lack of leadership support - unclear of the role they should/could play in analytics
This 1-day programme aims to help you better appreciate what analytics is, how it should/could be deployed in organisations, and more importantly, the role leaders, could and should play along the analytics value chain. You will gain a conceptual understanding of data analytics, and a practical view of how it can be applied to support decision-making in your organisation.
This programme was previously known as "Masterclass in Decision Making with Data Analytics".
Learning Outcomes
- Understand what analytics is and how it creates value in organisations
- Appreciate the analytics process and how it is deployed to support informed decision making, and the role that leaders and organisation culture play in the value chain
- Appreciate when and how to deploy analytics under different situations, and when not to
- Understand the key ingredients to building sustainable analytics capabilities and culture
- Assess the state of analytics maturity and identify key steps that could be deployed to advance the analytics agenda in your respective organisations
Last updated:
What is Analytics?
- Analytics in action – Illustrate how analytics really works in organisations
- Defining what analytics is and isn’t
Demystifying intelligence augmentation vs artificial intelligence, data analytics vs data science and other buzzwords
- Key ingredients to sustainable analytics – Data, Technology, Frameworks and People
Understanding Leadership’s role in the analytics process
- 6 Steps to analytics
- Contrary to popular belief, analytics does not start with data
- Illustrates how analytics can/should be deployed to help organisations make informed decisions…not confirm organisation bias
- Appreciating leadership’s role in the value chain
- What are the right questions? How will staff know?
- Are the analyses presented objective and complete? Or are the analyses aiming to confirm and please? Why?
The right analytics for the right situation
- Introduction to the Cynefin framework for analytics
- Analytics is not a hammer, nor everything, a nail. The Cynefin framework provides leaders a structure to consider issues before strategically deciding if, what and how to deploy analytics
- Attendees will get to appreciate the benefits of the framework in building analytics agility and progress as well as the pitfalls of not applying it correctly
Building an Analytics Culture and Maturity
- Analytics is a journey; it takes sustained and consistent effort and time to build analytics maturity
- Appreciate the role of Culture along the Analytics Value Chain
- Defining what makes for a strong analytics culture
Tips for advancing your organisation’s analytics agenda and maturity
- No need to convert everyone at once
- The Law of Diffusion of Innovation
- Assembling the right team at the right time
- Analytics does not happen by itself, nor is it built by one “specialist”
- It takes the right team at the right time, playing the right role
- Building one source of truth and making data and analytics unavoidable
- Pivotal insights are often found at the intersection of data sets
- While technically easy to do, often harder to accomplish due to politics
- This “truth” can then be made accessible and unavoidable, helping analytics efforts stick
Recap and Q&A