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. 

Shaping the Future the 4 Stages of Insight

Description: Shaping the future: the 4 stages of insight. Learn how to move from hindsight to foresight and help prepare our organisations for whatever happens in a fast-changing world.
 
Notes: This is a new module intended as part of the introduction to the Box set; How to Drive Improvement with Data & Insight but can also be an independent module

The Scientific Method

Description: The Scientific Method: become a trusted source of information. Understand how to create an operating rhythm for analysis, which builds trust and confidence in your conclusions. This includes the first of our exercises to help you identify gaps and opportunity in your current approaches.
 
Notes: This is a new module intended as part of the Box Set How to Drive Improvement with Data & Insight but can also be an independent module

Problem Statements & Hypotheses

Description: Using problem statements to generate fruitful hypotheses. Explore how to focus in the right way, becoming clear about the questions and problems you need to address.

Notes: This is a new module intended as part of the introduction to the Box set; How to Drive Improvement with Data & Insight but can also be an independent module

The Scientific Method and the Improvement Cycle

Description: Using the Scientific method to drive improvement. In this module we link the scientific method to the three phases of improvement, and get you started on the next of the practical exercises.
 
Notes
: This is a new module intended as part of the Box Set How to Drive Improvement with Data & Insight but can also be an independent module

Prioritising Opportunities for Improvement

Description: Explore how to focus on the right issues, how to create time to learn and how to balance proactive and reactive work, as analysts. 
 
Notes
: This is a new module intended as part of the Box Set How to Drive Improvement with Data & Insight but can also be an independent module

An Introduction to Accuracy & Confidence

Description: Understand the key statistical considerations that will ensure your conclusions are well founded and can drive confidence. The separate Statistical Confidence box set is an opportunity to drive this further.
 
Notes: This is a new module intended as part of the Box Set How to Drive Improvement with Data & Insight but can also be an independent module

Identifying Opportunities from Patterns & Exceptions

To innovate and be the best that we can we need to identify and exploit the best opportunities not just to improve but also to learn.

In this module we explore,
 - How to find the right opportunities
 - Creating time to learn and improve
 - Striking the right balance between proactive & reactive insight
 

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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