1. Course Overview

Organisations collect and continue to collect enormous amounts of data without asking the question “What data or information do we really need?” or “How do we present the data that we have collected so that it is openly available and can be understood and used to drive the business or organisation.

Structure of the Course

This one-day workshop will enable participants to gain the necessary skills to collect, analyse and present data in an understanding and meaningful way and assist the decision-making process.

It looks at how to translate data into useful and meaningful information that can contribute towards real problem solving, effective performance indicators, leading to the development of effective KPI’s, among others.

Alternatively, if an organisation is in the process of selecting data collection methods and appropriate analysis, then this workshop will also help.

Data analysis skills are essential to providing honest and accurate analysis, determining statistical significance, reliability, and validity on which to base their decisions, whether it is to improve quality, profitability, efficiency, or competitiveness.

Improper statistical analyses distort findings and can mislead or negatively influence decision-making and the perception of the data collected. The correct analysis of data is a process of systematically applying statistical and / or logical techniques to describe and illustrate, condense, and recap, and evaluate data so that it can be used effectively. This workshop provides essential learning for staff at all levels of the organisation.

Course content:

1. Data Types

• Discrete data
• Continuous data

2. Data Collection

• Sheet design
• Testing, prior to full-scale data collection

3. Data Input into Spreadsheet

4. Determination of Basic Descriptive Statistics

• Mean
• Median
• Mode
• Minimum and maximum values
• Range
• Standard deviation

5. Graphical Analysis

• Bar charts
• Line graphs
• Pie charts
• Scatter diagrams

6. Determination of Relationships between Factors

• Relationship between discrete factors
• Relationship between continuous factors

7. Use of Data in Decision Making

8. Establishment of Key Performance Indicators

9. Determination of Data Reliability

10. Summary

Who would benefit from this Approach?

Anyone who collects, manages, analyses and uses data to drive business performance.

Delivery

• The course is delivered through virtual, tutor-led classes as structured above.
• The platform used is Adobe Connect which utilizes e-work rooms, video and streamed trainers.

Cost

• £175 + VAT

If you are not yet a member but are already thinking about joining CforC, you can find more information on how to become a member and the benefits by clicking here.