News, Tools, Training for Key / National Account Managers
(KAMs / NAMs) working in the FMCG / Retail industry

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KamTips KamStats

Statistical techniques adapted to help KAMs to anticipate changes in the market. This section is for subscribers only. An in-depth treatment of these tips, tools and techniques is covered in our 'hands-on' public and in-house training programmes.

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Title

Brief Summary

Why KamStats?

Becoming a business manager of the Account requires a working knowledge of statistical tools.  The ability to analyse and predict changes in a variable over time or relative to another variable, is essential. 

How To Make The Most Of Z-Graphs

The Z CHART shows three aspects of data over time which approximates a Z shape when plotted.

Using Pie Charts

Presenting data pictorially can have a tremendous impact as an aid to understanding and communicating numerical information.

Using Index Numbers

Index numbers show changes in a group of items over time, providing KAMs with a useful means of measuring changes relating to them, for example the changing efficiencies of deliveries.

How To Use Semi-Logarithmic Paper

A semi-logarithmic graph uses normal numbers across the X axis, bur shows the Y value in terms of logs.

Understanding Averages

An average value is one that is typical of a range of values.  It is a figure against which any individual value can be compared to see where it stands relative to the group.

Measure Of Spread
(Normal Distribution)

Knowledge of standard deviation and spread can help a NAM put an average into context by showing the qualities of the total group, e.g. measure of product quality from a sample.

Introduction To Probability

Of all of the possible outcomes of an event, only one will actually occur.  Probability theory assigns a value to each of the possible outcomes; the value aims to reflect the likelihood of each outcome actually happening.

Using Decision Tree Analysis

Tree Diagrams are a simple method of representing a series of outcomes graphically.  They make it possible to follow through various ‘what if’ scenarios to help choose the best alternative outcome.

Understanding Sensitivity Analysis

Sensitivity analysis examines the role that assumptions play in the final outcome.  The analysis changes the assumptions and looks at the effect of this change on any outcomes.

Sampling And Error

A sample is a selected group of items taken from a population.  The results drawn from the sample are then used to make conclusions about the whole populations.

Ratio’s – The ROCE Model

Ideally, ratios provide a means of not only diagnosing business problems but also suggesting practical solutions.  Ratios are even better when they can be related to one another, providing a succession of steps leading to overall profit improvement.

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