Assisted Learning Pathways

Measures of Success for MI and Insight

Hosted on 12th March 2019 By Ian Robertson

Understand how to create the right measures to track and develop your MI and Insight efforts. Learn how to create the right process, aligned to your strategy and how to take a holistic view when setting measures of success. Learning outcomes include:
 - What does good look like?  Explore the key characteristics of an ideal real time function and key considerations to develop understanding and learning.
 - Define your purpose. Understand how real-time planning can support your business strategy and impact it can have on customers and colleagues.
 - Creating the right measures. Understand different perspectives and develop a holistic framework of success measures.

Measures of Success: Balanced Scorecards

Hosted on 30th April 2019 By Ian Robertson

Understand how to create the right measures to track and develop your real time effectiveness. Learn how to create the right process, aligned to your strategy and how to take a holistic view when setting measures of success.  Learning outcomes include:
 - What does good look like? Explore the key characteristics of an ideal real time function and key considerations to develop understanding and learning
 - Define your purpose. Understand how real-time planning can support your business strategy and impact it can have on customers and colleagues
 - Creating the right measures. Understand different perspectives and develop a holistic framework of success measures

Gathering Qualitative Feedback

Hosted 14th June 2019 by Phil Anderson

Hear about different methods for collecting information along with the pitfalls to avoid. Learn how to engage with your stakeholder to gather feedback and information to improve your planning.

- Understand different methods for gathering feedback
- Improve your questioning skills and start to gather honest usable feedback
- Learn how to gather feedback that make you feel good

Understanding & Managing Sample Bias

 - How to Identify Sample Bias & ensure you reduce the likelihood of bias
 - The impact on your data and insight validity from Sample Bias and the potential impact to your business
 - Common Sample Bias issues to look out for

Root Cause Analysis

Hosted on 21st April 2020 by Ian Robertson

Root cause analysis is a core skill for analysts and forecasters but is something that few of us do well.  If we want to predict or shape the future it is vital that we understand the past. In this webinar we will explore:

- Why do we need root cause analysis
- How do we ensure we are asking the right questions
- Common Mistakes
- Use of technology to support root cause analysis

The Strategy Pyramid

Before setting targets and goals it is important that these are aligned to strategies that support your organisational goals. In this module;
 - Understand your organisational goals
 - See how to balance your strategies
 - Learn how to align the right metrics and targets to your strategies

Target Typology

Hosted on 30th April 2020 by Ian Robertson

How do you avoid your targets being misunderstood, misinterpreted and misused. In this module;
 - Learn the different target types
 - Understand tolerances & triggers
 - Avoid common mistakes

Performance Records, Data Tables, Rigour and Governance

Hosted on 5th May 2020 by Ian Robertson

Clear documentation and structure can help us remove single points of failure, avoid arguments, ensure a single version of the truth and avoid duplicated work. In this module;
 - See how to create a data dictionary to ensure a single version of the truth
 - Learn techniques to ensure metrics are used to drive the right behaviours
 - Facilitate exception based reporting with agreed triggers

Benchmarking

Hosted On 12th May 2020 By Ian Robertson

Benchmarking is important in understanding best practice, comparing ourselves with our competitors and becoming the best, but there are many pitfalls to avoid. In this module;
 - Hear the value of benchmarking
 - Learn how to avoid the common mistakes
 - Hear our top tips for benchmarking

Descriptive Statistics - Part 2

Following on from Descriptive Statistics Part 1. In this module we look at applying these techniques to real life scenarios, you will receive exercises to complete before we talk you through the solutions.

Introduction to the Insight Cycle

Our best practice framework for data, analytics & insight, has the Scientific method at its heart and draws inspiration from methods that drove success with the planning framework last year. In this module we;   
 - Explore the scientific method
 - Introduce our new insight cycle
 - Share an exercise to identify the gaps and opportunity in your data, analytics and insight processes.

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