Meet Your Expert Course Leader

    Photo of Frank Kowalkowski

    Frank Kowalkowski
    President
    Knowledge Consultants Inc.

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In House Training

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Course Overview

Introduction

The acquisition, analysis, aggregation, presentation and interpretation of data is crucial to the effective and efficient running of the organisation. Whether the purpose is operational performance, financial analysis, competitive analysis, strategic direction setting or data for outside decision making the delivery of that data links the success of the business with the management.

Concepts of corporate measures such as critical success factors, key performance indicators and sensitivity analysis are covered.

The methods needed to make the ideas practical are discussed in exercises. Concepts such as measures development, statistical interpretations, strategic data analysis 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.

Learning Objectives

Attend and be able to:

• Use simple statistical tools to unleash the power of information in data
• Acquire the data you actually need to assist in making informed judgements and decisions
• Perform strategic enterprise data analysis to supportbusiness activities
• Use pracitical worksheets to assist and enhance your decision making
• Successfully link efficient data analysis to improved business performance
• Identify measures of value as a decision support tool
• Assess strategic competitive intelligence and enhance your competitive advantage

Delegates who previously benefited from this course were:

• Data Analysts, Business Analysts, Business Data Analysts
• Corporate Business Planners, Planning Managers
• Business Performance Analysts and Officers
• Sales Planning Officers and Sales Analysts
• Market Analysts, Market Research Analysts
• Marketing Executives and Managers
• Product Managers
• Finance and Administration Officers and Analysts
• Business Development Managers
• Researchers and Research Analysts
• Operations Supervisors