Course Structure In company Training Course Can be tailored to suit your needs and number of days can be as required Average daily training rate @ £1850 plus VAT (£2173.75) per training group Please contact Tom Owen on 0845 658 0654 for more details

If you are looking for individual training please click here or call Maxine or Patricia on 0845 658 0654

Collecting and interpreting management information data analysis

Data analysis is vital if you are to understand how well your business or department is functioning, but getting the most out of your data can be a daunting task when faced with typical fundamental data analysis questions: I have so much data, where do I start? Am I measuring the right thing? What can I do with the data I have; do I need to collect more? Do I have the right type of data? What is the best method of analysing the data I have? What is the best presentation method for my results? How does analysis help me come to useful business conclusions?

This workshop uses a structured methodology to enable participants to : solve problems in a diversity of contexts add substance to decisions make the right data analysis choices p present the results in an understandable format

Who should attend?
anyone involved in understanding the meaning of data on a day to day or ad hoc basis

anyone who interprets data after analysis and needs to better understand the mechanics behind the conclusions

Objectives

• approach data analysis with a structured methodology
• recognise the questions that need to be asked of the analysis customers before analysis begins
• have a foundation in the principles behind good data gathering
• identify types of data and what can be done with them
• use a toolbox of numerical and graphical methods for data display
• have a foundation in the interpretation of numerical and graphical outputs into business information
• present data in such a way that the customer understands the core messages

Programme Content
Data collection

• developing the right collection methods
• understanding what you already have
• the importance of good sampling
• types of data and their characteristics

Data analysis

• step by step structured analysis
• displaying data effectively
• summarising data
• the pros and cons of the methods and what they tell you
• what type of analysis is appropriate

Useful information

• how to interpret your results
• what graphs and summary numbers tell you
• how to relate your data to your business
• how to get the message across to your audience