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Analytical Tools and Techniques
London Training For Excellence

Classroom based course with study materials, lecturer support and CPD Hours included

Summary

Price
£3,960 inc VAT
Study method
Online
Duration
5 days · Self-paced
Qualification
No formal qualification
Additional info
  • Tutor is available to students

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Overview

This five-day course describes several analytical tools that you would use for strategic business analysis, customer analysis, and data analysis. Some of the tools discussed in the course include SWOT (Strengths Weaknesses Opportunities Threats), Porter’s Five Forces, Kano Model for Customer Requirements, Segmentation Analysis, Buyer Utility Maps, Data Profiling, and Correlation Analysis.

Description

Strategic Tools
After completing this session, you will be able to apply the following models:

  • STEEP and PEST for broad environmental scans to facilitate external thinking
  • Porter’s Five Forces to better understand an industry around those forces that define every industry
  • SWOT for assessing the internal strengths and weaknesses of a company and the external threats and opportunities
  • McKinsey 7 S Model for assessing an organization in terms of 7 parameters
  • Ansoff Matrix for evaluating your strategy against the marketplace
  • SPACE Matrix for evaluating different strategies around four parameters
  • QSPM Model for evaluating different strategies based on 10 to 20 factors

Customer Tools
After completing this session, you will be able to:

  • Apply the Kano Model to better understand customer requirements
  • Apply the use segmentation to improve your strategic focus
  • Assign values to customers so you can better distinguish profitable customers from unprofitable customers
  • Apply a ranking table based on customer expectations
  • Apply the Quality Function Deployment model for translating customer requirements into your design processes
  • Generate new ways of satisfying customers by using the Buyer Utility Map
  • Conduct customer surveys

Data Analysis with Statistics
After completing this session, you will be able to:

  • Recognize different approaches for analysing large volumes of data
  • Identify important quality control practices related to databases
  • Devise ways for reducing errors and missing data in surveys
  • Differentiate Quantitative vs. Qualitative and Discrete vs. Continuous
  • Design ways of expressing a distribution of data visually
  • Identify three important measures for describing a distribution
  • Identify four different levels of measurement that are commonly applied in statistics
  • Identify three ways of expressing correlations in data
  • Apply regression analysis and express linear relationships

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