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Data Collection, Analysis, & Presentation

 

Overview

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Effective use of business data, information technology and various analytical methods helps managers and employees gain improved insight into their business issues and helps make better informed decisions.  The tools and techniques presented in this course can be applied across many areas in a wide variety of organisations to improve stakeholder satisfaction, enhance return on investment, mitigate business risks and improve planning. 

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The 5-day Business Data Collection, Analysis and Presentation training course covers the foundational knowledge necessary to collect reliable business data and conduct comprehensive analysis to help maximise organisational value.  The training course is focused on the enhancement of essential knowledge and skills and equips participants with a toolbox of ideas and methodologies for effective data collection and analysis.

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The 1-day Foundation training course provides a consolidated overview of the 5-day training course.

Who Should Attend

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The Business Data Collection, Analysis and Presentation training course will benefit employees and managers involved in collection, analysis and communication of business data and information and wish to be able to develop robust and justified business solutions and convince stakeholders to support their recommendations.    

 

This course will equally appeal to decision makers and those who support them in the private, public and not-for-profit sectors.

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Learning Objectives

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Course participants will develop the following competencies:

  • Critical thinking

  • Problem definition and business needs analysis

  • Business data collection, including design of questionnaires

  • Business data analysis

  • Feasibility studies

  • Management problem solving and decision making

  • Influencing stakeholders through persuasive communication

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Course Agenda and Content

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Day 1
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  • Introduction and key concepts

    • Fundamentals of business decision making

    • Decision process and critical thinking

    • Data, information, knowledge

    • Fact, statistic, rumour, fiction

  • Understanding business problems / opportunities

    • Recognising business problems

    • Formulation of objectives

    • Problem definition

    • Recognising and formulation of assumptions, priorities and constraints

 
Day  2
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  • Collecting relevant evidence

    • Data for decision making; uses of business research

    • Business research process

    • Research purpose, objectives and value

    • Research design

    • Data sources

    • Sampling

    • Research proposal

    • Gathering and organising relevant data

    • Surveys / questionnaires: asking the right questions

    • Asking the questions right

 
Day 3
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  • Data verification and validation

    • Types of business data

    • Data reliability and validity

    • Decision models and basic spreadsheets

  • Visualizing and exploring data

    • Data analysis: analysing information, basic business statistics and tools

    • Charts and frequency distributions

    • Pivot tables

  • Descriptive statistics

    • Descriptive analysis

    • Using the measures of central tendency and variability in business decisions

 
Day 4
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  • Probability distributions and data modelling

    • Probability in management decisions

    • Statistical decision theory

    • Simple business applications of probability distributions

  • Business data analysis

    • Measures of association in business: correlation and regression analysis

    • Popular diagnostic and analytical models

    • Fundamentals of option analysis

    • Choice heuristics

    • Payoff tables and decisions under certainty, risk and uncertainty

    • Decision trees and utility theory

 
Day 5
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  • Effective business communication to persuade and influence

    • A framework for persuasive communication: AIM-FOCUS

    • The importance of AIM

    • The need to FOCUS your message

    • Writing convincing reports

    • The art of influence through business presentations

    • Case study

    • Lesson learned

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Prerequisites

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Proficiency in the English language, willingness to learn, and open mind to new ways of working.

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Training Approach

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The course covers both theory and practice:

  • Slide-based, instructor-led training sessions, supported by examples and quizes

  • Preparation for the Foundation exam

  • Practice test (mock exam) simulating the certification exam.

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Examination

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Upon completion of the training course, you can sit for the exam and become Certified in Data Collection, Analysis, and Presentation.

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Following are the exam details:

  • Duration             90 min.            

  • Format               Closed book

  • Questions          60multiple choice

  • Pass mark          70% (42 correct answers).

 

Competence domains

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The exam covers the following domains:

  • Data Collection

  • Data Analysis

  • Data Validation

  • Data Presentation

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Note: there is no scheduled exam for the 1-day Foundation training.

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Certification

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The Data Collection, Analysis, and Presentation certificate will be issued to delegates passing the exam.

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Note: A certificate of attendance will be issued to the delegates attending the 1-day Foundation training.

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General Course Information

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For general course information please click on the link here.

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N.B. Please read our Terms & Conditions (T&Cs) and ask for clarifications, if any, before booking your training event.

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Book now to reserve an on-site or online instructor-led training event of your choice for your company's delegates.

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