Meet Your Expert Course Leader

    Photo of Frank Kowalkowski

    Frank Kowalkowski
    President
    Knowledge Consultants Inc.

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Agenda

Course Timings

Registration will be at 07:30 on Day One. All four days will commence at 08:00 and conclude at 15:30. There will be breaks for refreshments and lunch at appropriate intervals.

 Day One


  Introduction – Data Analysis In The Enterprise

  • Course objectives and structure
  • About data analysis
  • Business measures for performance
  • Data analysis solutions
  • Basic data analysis concepts

  Demonstration – Simple Data Delivery Tools

  An Overview Of Business Statistics
  • Using data effectively
  • Statistical thinking – applying statistical concepts
  • Business statistics
  • Data analysis techniques
  • Estimating, confidence intervals, variance
  • Pattern analysis of data

  Exercise – Identifying Business Measures Of Value

  Correlation And Regression Analysis
  • Correlation
  • Simple regression
  • Multivariate regression
  • Step by step regression
  • Hierarchical regression

  Exercise – Simple Correlation And Regression Analysis

 Day Two


  Strategic Enterprise Direction And Data Analysis
  • Models for measurement
  • Aggregating data
  • Analytical workflows
  • Stakeholder data interests
  • Analysts, shareholders, regulators
  • Data analysis for strategic decisions
  • Growth, harvesting, investing, divesting, privatising

  Exercise – Analytic Workflows Plus Comparative Balanced Scorecard Analysis

  Strategic Data Analysis For Business And Competitive Structure
  • Merger and acquisition analysis
  • Competitive scenarios and selecting scenarios of importance
  • Competitive analysis for acquisition
  • Comparative operational analytics
  • Econometric considerations

  Demonstration – A Balanced Scorecard Tool With Strategy Maps

  Enterprise Performance Management – Measuring Business Activities
  • Measuring business processes
  • Critical success factors
  • Decision analysis and scenarios
  • Measures for quality
  • Key performance indicators
  • Process performance, pulse points

  Exercise – Setting Measures For A Process

 Day Three

 
   Data Mining – Looking For The Few Gems In The Pile

  • Finding patterns in data
  • Interpreting the results
  • Using neural nets for patterns and forecasting
  • Presenting alternatives
  • Issues in data access quality

  Demonstration – Neural Nets

  Decision Making Under Uncertainty – Techniques
  • Uncertainty ideas
  • Random variables
  • Discrete events
  • Forecasting
  • Decision trees
  • Optimisation

  Exercise – Optimising Product Mix

  Tornado Diagrams
  • The concept of sensitivity and decisions
  • Methods of sensitivity analysis
  • What is a tornado diagram
  • Determining the sensitivity factors
  • Ranking sensitivity to create the diagram

  Exercise – Analysing Sensitivity To Risks

 Day Four


  Marketing Data Analysis – Competitors, Consumers And The Economy
  • Market share analysis
  • Consumer buying and affinity analysis
  • Competitive comparative analysis
  • Projections and forecasts
  • Profit impact of market share
  • Econometrics ideas

  Demonstration – Consumer Buying Behaviour – Affinity Analysis

  Operational Data
  • Process analysis
  • Statistics and performance
  • Benchmarking revisited
  • Control charts and how to use them
  • The value of historical data
  • Inventory analysis

  Exercise – An Inventory Management Problem

  Predictive Text Analysis
  • What is predictive text analysis
  • Where do you use it?
  • Getting the data
  • Categorising the results
  • Interpreting what you have