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Data Analytics for Business Managers Bootcamp

Ready to Boost your Analytics Skillset and Take your Data Expertise to The Next Level?

 

The data analytics revolution is booming! But with the majority of companies still relying on “gut feeling” methods for decision making, there is a huge opportunity to harness the power of your organization’s data and turn it into powerful insights to drive value. Develop con­dence in using key visualisation and analytics tools that will signi­cantly improve your reporting and analysis skills.

 

 

CDHX Participant Benefit:

  • CDHX Clinic Class
  • Forum Discussion
  • Aligned and accredited with BNSP & world class certification
  • World-Class Curriculum
  • Community and guidance after workshop
  • Best speakers, senior consutants and practitioners
  • Focus on “How To” learning methods

 

 

Workshop Presenter

Dr Paul Walsh 

 

Dr Paul Walsh is a Program Director of the Australian  Graduate School of Management, at the University of New  South Wales in Sydney. He is a leading authority on data  analytics and its use in driving process excellence.

 

In his role at the university, he has coached and certified  several hundred process improvement projects across  private and public sectors. He has a unique approach to  learning and teaching and uses experiential activities to  make learning informative, reflective and enjoyable.

 

He has been to Indonesia on many occasions and provides thought leadership to commercial businesses and government agencies though his association with One GML.

 

Dr Walsh has published widely in research and professional  management journals in the area of strategy, performance  and process management. His book “Measurement and  Management of Strategic Change” is published by Pearson  Education and used by MBA schools in Australia and Asia.

 

 

 

Target Participants

Aspiring line managers and team leaders in marketing, sales, operations, HR, R&D, and any functions who want to realise the opportunities data analytics will bring to management decision-making. 

 

The workshop will also appeal to anyone who uses the Balanced Scorecard or is responsible for KPI dashboards and reporting. Business analysts, quality and process improvement specialists will also bene­t from the methodologies used in the workshop.

 

 

Hands-on Experiential Learning

The only way to learn data analytics is to experience it live during the ONLINE BootCamp

 

  • Download the trial version of the world’s leading data analytics software  Minitab on your Windows PC so you actively join the conversation and try  the exercises for yourself.
  • Learn through assignment and coaching to put theory into practice
  • Post coaching of 2 weeks after the workshop facilitated by a world-class coach


Prerequisite: it is recommended that workshop participants have at least a basic knowledge of Microsoft Excel.

 

 

 

Program Package

 

Basic

2 Days – 6 Topics in Total

 

 

Session 1

 

Topics 1: Introduction to your Minitab data analytics software

  • For participants familiar with Excel, learning how to  navigate Minitab will be an easy transition

 

 

Topics 2: Data Visualisation Techniques

  • Learn the methods for displaying business data and gaining key insights to inform decision-making.
  • Show the current performance of your business  processes in ways that will bring clarity and visibility performance issues

 

 

Session 2

 

Topics 3: Summarisation Techniques

  • Produce powerful statistically-valid summaries of  performance will enable you to provide accurate feedback for monitoring and evaluation

 

 

Topics 4: Cleansing Data

  • Key to good decision-making is ensuring that data is  clean and reliable. Data integrity is at the core of  data analytics
    • You will learn data cleansing and conditional  formatting techniques to detect outliers and anomalies in your data so you can rely on the  numbers you report

 

 

Session 3

 

Topics 5: Achieving Process Excellence through Data Analytics

  • The key to continuous process improvement is the  Map-Measure-Improve framework in PMX®, Process  Management Xcellence developed by One GML.
    • Learn how data analytics helps you measure the  baseline process performance for improvement opportunities. Once these opportunities learn how  to report evidence of change in a statistically valid way

 

 

Session 4

 

Topics 6: Evidence-based Root Cause Analysis

  • Lean how to conduct and prioritise Root Cause  Analysis using hypothesis tests such as T-test,  ANOVA and Chi-Square Test that will provide  evidence where root causes of poor performance      exist

 

 

Advanced

2 Days – 4 Topics in Total 

 

Session 1

 

Topics 1: Modelling Cause-and-Effect

Learn the most powerful of all modelling techniques, regression analysis.

  • Model the correlations between people, process, customer  and profitability
  • Model relationships between KPIs to target the right  improvements

 

 

Topics 2: Data Analytics and Strategy Execution

Through a comprehensive business case study, we show how data analytics and in particular multiple regression  analyse can objectively inform companies whether their  strategy is working or not..

  • Learn how data analytics complements Strategy Mapping  and the Balanced Scorecard to provide increased visibility  of the success or otherwise of strategy execution
  • Learn how data analytics provides HR insights into the  culture of organisations and the effect that culture has on  business performance

 

 

Session 2

 

Topics 3: Predictive Analytics – Part 1

This session provides the foundation for predictive analytics.

  • Learn how to analyse patterns found in historical data to  gain better business insights and make predictions about  the future. Use techniques such as Discriminant Analysis,      Cluster Analysis and Principal Components

 

 

Session 3

 

Topics 4: Predictive Analytics – Part 2

This session provides a more advanced toolkit for predictive analytics and machine learning and has a wide range of  applications, including manufacturing quality control,  medical discoveries, incident detection, credit scoring, and  churn prediction.

  • Learn how to build and model decision trees using CART  Classification and CART® Regression techniques.