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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.
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
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
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
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