Planning for COVID-19

Webinar Series

Planning for COVID-19

The COVID-19 pandemic has impacted all of us, the changes and impacts will continue for some time. It’s during times like this when you need you remember that you are part of a community of best practice, so don’t be alone. The Forum is your friendly, safe environment for sharing ideas, top tips and pitfalls to avoid. In this time of uncertainty its important that we collaborate and work together, bringing together ideas and use this time as an opportunity to learn and continue to raise standards. 

 We have designed three short series of learning academy modules, along with a top-tips & pitfalls to avoid for homeworking webinar and then a virtual networking group to help you. Phil Anderson has written an article about some of the considerations you might need to make. 

To view series 1 and 2 you need to log in to the website. Click on My Account at the top right to register or log in. 

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.

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

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

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

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

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

Descriptive Statistics - Part 1

Hosted on 20th March 2020 by Ian Robertson

It is easy to lie with statistics it is easier to lie without them. Whether we are an analyst or a decision maker a basic knowledge of statistical knowledge is essential to;

 - Understand the predictability, variability and repeatability of our data and allow us to separate the exceptions from the normal
 - Ensure we are giving the right message
 - Make sure we aren’t being mislead and are focussing on the normal rather than the rare exceptions

In this pre-recorded webinar module we the introduce the principles of statistics including, standard deviation, standard error and confidence levels. The accompanying excel workbook allows you to pause and play, and practice with real life examples at your own speed. 
 

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

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