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.

Introduction into shrinkage calculations, tiered shrinkage, historical tracking.  Understand the importance of calculating shrinkages so they are optimised for your operation the key differences and impact on your resource requirements
 - What is included in shrinkage?
 - The importance of calculating shrinkage correctly.
 - Which method should you use for planning, budgeting.

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

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