MI & Insight Modules

Learn the best practice principles to help you move from data, through analysis to providing actionable insight which is in demand across your business. 

Descriptive Statistics - Part 2a

Hosted on 29th May 2020 by Ian Robertson

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.

Free webinar: Trade secrets every planner should know about WFM reporting & analysis sponsored by injixo

27th May 2021, 17:00

Each time round the WFM cycle, high-performing planners analyse and report on what went right and what went wrong. The goal is that with each iteration, the forecast becomes more accurate, the staffing requirement includes the right shrinkage, the schedule efficiency is higher, the agent adherence is better, and so on. Continuous improvement is the name of the game.

Just as with every other part of the WFM cycle, there’s a right way and a wrong way to go about reporting & analysis. What’s more, since late 2019 we’ve all been bombarded with numbers and charts in the daily news. Now everybody thinks they are statisticians. Join Ian Robertson of The Forum and Simon Waldron of InVision as they reveal some hot tips that work in 2021 and beyond. If you want to take your reporting & analysis to the next level, this webinar is a must-attend.

In this webinar, you will learn:
 - The most important KPIs
 - How to choose the right level of detail
 - The dos and don’ts of data visualization
 - About telling a story with your data
 - How to use your data to drive change
 

Delivering value with targets

Hosted on 19th May 2020 by Ian Robertson

There is no point setting targets if they don’t deliver value and benefits. In this module;
 - Learn how good targets can deliver value, benefits and return on investment
 - See the pros and cons of competitive and collaborate targets
 - Hear how to avoid targets driving the wrong behaviours

Dealing with Ad hoc Requests

Hosted on 14th May 2020 by David Preece and Ian Robertson

Not all ad hoc requests are time-stealers!  Some of them add value and insight and quickly become BAU work.  This session looks at the art behind identifying what is urgent and valuable and what isn’t.
 - Understand the inevitability of Ad Hoc requests
 - Learn how to prioritise requests and eliminate waste
 - See how asking the right questions enables you to quickly understand the driver behind the request

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

Hosted on 28th April 2020 by Ian Robertson

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. 
 

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