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
 

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.

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.

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.