Course Overview

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The understanding of any enterprise and the basis for many decisions revolves around the basic understanding of the data involved. The acquisition, analysis, aggregation, presentation and interpretation of data are crucial to the effective and efficient running of the enterprise. Whether the purpose is operational performance, enterprise performance, financial analysis, competitive analysis, strategic direction setting or data for outside decision making of partners and customers the delivery of that data links the success of the business with the management. Understanding the basis and impact of decisions is crucial to improving enterprise performance.

This course is intended for people who want to put the ideas and concepts of data analysis and interpretation into effective use in their enterprise. Concepts of corporate measures such as critical success factors, key performance indicators and sensitivity analysis are also covered.

Further, the methods needed to make these ideas practical are discussed in exercises. Concepts such as measures development, statistical interpretations, strategic data analysis, business intelligence and scenarios are discussed along with newer techniques such as tornado diagrams for sensitivity and text mining. Techniques such as decision mapping are introduced as the context for decision-making and measures.

Linking business performance measures with technology is critical to the success of any data analysis approach and the ability to deliver results. The concepts of data analysis demand a competent technological infrastructure for enablement. Demonstrations of various tools used for data analysis are demonstrated to emphasise the techniques in the lectures.

At the end of the course, you will be able:

• Use specifi c formulas for operational analysis
• Prepare methods of analysis for performance
• Modify existing operational methods for improved performance
• Summarise data in an easy to explain manner for management
• Explain the use of statistical methods in business analysis
• Teach other how to use basic operational formulas

Course Timings:
Registration and coffee will be at 07:30 on day one. The programme will commence at 08:00 and conclude at 14:30 with lunch. There will be refreshment breaks at approximately 10:30 and 12:30.

Course Requirements and Certificates
Delegates must meet two criteria to be eligible for an IIRM/ GW Certificate of Completion:

1. Satisfactory attendance – delegates must attend all sessions of the course. Delegates who miss more than two hours of the course sessions will not be eligible to sit the course exam
2. Successful completion of the course assessment

Delegates who do not meet the criteria will receive an IIRME Certificate of Attendance. If delegates have not attended all sessions, the Certificate will clearly state the number of hours attended.

Day One
Theme: Statistical Techniques – Manipulating Data

• Section 1: Introduction – Data Analysis In The Enterprise
• Section 2: Core Statistical Techniques
• Section 3: Analysing the Business with Numbers

Day Two
Theme: The Big Picture – The Enterprise View

• Section 4: Strategic Enterprise Direction And Data Analysis
• Section 5: Enterprise Performance Management – Measuring Business Activities
• Section 6: Methods Of Productivity Analysis
  
  

Day Three
Theme: Analysing Alternatives – Essential Decision Making

• Section 7: Decision Making Under Uncertainty – Techniques
• Section 8: Tornado Diagrams
• Section 9: Data Mining – Looking For The Few Gems In The Pile
  
  

Day Four
Theme: Applied Data Analysis – Typical Uses Of Analysis

• Section 10: Marketing Data Analysis – Competitors, Consumers And The Economy
• Section 11: Operational Data Analysis
• Section 12: Predictive Text Analysis