MasterClass in Business Analytics for Decision Makers: Turning Data to Competitive Strategies

SPECIAL NOTES:

This one-day MasterClass is open for group/company booking at the client's company venue/or at an agreed venue suitable for all parties. Client will be liable for organizing the venue.

The usual number of participants that will maximize interaction/and maximize cost-efficiency is around 25-35.

If required, the organizer may book a venue on behalf of client at extra cost.

The tuition fee is flat for 1 to 35 participants.

MASTERCLASS IN BUSINESS ANALYTICS FOR DECISION MAKERS: TURNING DATA TO COMPETITIVE STRATEGIES

PARTICIPANTS WILL BE PROFICIENT IN THE FUNDAMENTALS OF ANALYTICS TECHNIQUES DESCRIBED BELOW IN ONE DAY.

THIS COURSE IS DESIGNED AND DELIVERED TO UPGRADE ANALYTICS CAPACITY FOR YOUR STAFF IN JUST ONE DAY.

Organized by RealCapital Group Pty Ltd

RealCapital Group is the owner of CityDataAustralia.com.au and CityDataUSA.com

ABN: 33634688412

Address: Level 35, Tower One Barangaroo International Towers Sydney, 100 Barangaroo Avenue Sydney NSW 2000 Phone: +61 2 91215025 Web: realcapitalaustralia.com

MICROSOFT EXCEL WILL BE USED, NO PRIOR CODING SKILLS REQUIRED

Instructed by Dr Kevin Hoang, the data architect/economist and founder of CityDataAustralia.com.au: the Australia's leading location data analytics and rating platform.

Cutting-edge analytics tools help turn raw data to competitive advantages

You will walk away with contemporary knowledge and tools to solve critical business problems:

•  How Amazon optimizes its global distribution network to deliver products overnight?


•  How Walmart orders just enough stock to minimize warehouse/transport costs and maximize profits?


•  How American Airlines uses travel demand data to optimize its route network?


•  How the Tax Office uses data science tools to detect corporate tax frauds?

Contemporary Trends in Business Analytics

In today’s world, managerial decisions are increasingly based on data-driven models and analysis using statistical and optimization methods that have dramatically changed the way businesses operate in most domains including service operations, marketing, transportation, and finance.
The over-arching methodology that refers to the skills and technologies to explore past business performance to make better decisions is called Business Analytics (BA). BA uses data, statistical and quantitative analysis, predictive modeling, and optimization to make businesses work better.
Learners will gain knowledge about the application of data and statistics to solve business problems:
1. Introduce the fundamentals of managerial economics including market demand, supply, market equilibrium, micro-market structure and government interventions
2. Introduce basic concepts from probability, statistics, stochastic modelling, and optimization to develop systematic frameworks for decision-making in a dynamic setting
3. Detect patterns using historical data to predict the future trends, and prescript insightful strategies
4. Use the vast information available in the world today to gain insight and create a competitive data-driven edge
5. Carry out optimization methods to solve decision problems under uncertainty in business applications
6. Create the data-driven strategies for your firm to gain a competitive advantage over others in your market space, domestically and globally
Most of the topics will be presented in the context of practical business applications, faced by large companies like Google, Intel, Walmart and American Airlines to illustrate its usefulness in practice.
The MasterClass in Business Analytics has also been designed to grow your professional and social networks. You will have opportunity to find people like yourself, both in your city and around the world, who are looking to advance their careers. You will leave the event with not only latest business analytics strategies and techniques, but also valuable contacts for your future business growth.
The MasterClass is structured into modules over 1 day, covering the analytical solutions to the most pressing business problems

Business Analytics for Decision Makers: Turning Data to Competitive Strategies

Module 1: Motivation: Business Analytics behind (Million Dollars) Business Decisions

Module 2: Data Types and Structure 

Module 3: Data Collection (Passive and Active), Data Summary and Visualizations 

Module 4: Regression Analysis: 1 Period Prediction

Module 5: Probability Modelling: Many Periods Prediction

Module 6: Data Driven Intervention: Maximizing Revenue

Module 7: Demand Uncertainty and Forecasting: Moving Averages, Trends and Seasonality 

Module 8: Optimizing Business Objectives under Resource Constraints

Module 9: Managing Risks 1: Comparing the Outcomes and Decisioning 

Module 10: Managing Risks 2: Uncertainties and Simulating the Future Outcomes

Module 11: Concluding Remarks and Future Study

Tools and Methods

• Decision Trees
• Optimization Models/Solver Optimization Tool
• Moving Average
• Trends and Seasonality
• Distribution Fittings
• Regression Models
• Probability Models
• Forecasting
• Customer Churn Modelling
• Customer Value Modelling
• Cost Structure
• Profit Maximization Rules
• Price Discrimination

Applications

Data is being used extensively to back actionable and competitive strategies at the world’s leading companies such as such as Walmart, United Airlines, Google and Amazon.

Participants who attend this MasterClass will have unique opportunities to carry out hands-on data analytics exercises using real world datasets. The topics range from retail, health care, apparel, transport and services.

Upon completion of the MasterClass, participants will gain their expertise in analytical skills that can be used to solve common business problems such as:

• How Walmart orders just enough stock to minimize warehouse/transport costs and maximize profits?
• How American Airlines uses travel demand data to optimize its route network?
• How the Tax Office uses data science tools to detect corporate tax frauds?
• How Amazon optimizes its global distribution network to deliver products overnight?
• How the Australian newspapers decide how many copies to be printed and how many copies to be distributed to newsagents nationwide?

ABOUT THE INSTRUCTOR: DR KEVIN HOANG

Dr Kevin Hoang is the Director of MasterClass in Business Analytics for Decision Makers: Turning Data to Competitive Strategies, he is responsible for designing and coordinating the MasterClass to empower business professionals and leaders' strategic decision making process.

His experience and credentials can be found here: www.linkedin.com/in/vanphuonghoang/

He draws from his wealth of experience and knowledge to construct and deliver relevant and in-depth analytical content and tools to solve today's fast moving and complex business problems.
Dr Kevin Hoang is the founder and research director of a number of location data platforms including CityDataAustralia.com.au and CityDataUSA.com, which provide location ratings and analytics based on big data.
Professionally, Dr Kevin Hoang is a senior economist with demonstrated skills in statistical and econometric modelling, complex data analysis, and policy evaluation using large and diverse data sources. He was an International Monetary Fund (IMF) Scholar in 2004-2006 and earned a PhD. in Economics at the University of New South Wales in Sydney, Australia in 2012.
He regularly attends specialist training programs at leading USA Universities including the Harvard University and the University of Pennsylvania. 
In Australia, Dr Hoang worked in the role of research fellow/economist at the University of New South Wales, Australia in policy evaluation and data analytics consultancy projects funded by the Australian federal government (with total value over $1 million).
Selected major data analytics/research projects by Dr Kevin Hoang
1. Data Architect and Founder: CityDataAustralia.com.au
2. Data Architect and Founder: CityDataUSA.com
3. Building a Microsimulation Model of Heroin Use Careers in Australia , Jul 1, 2016, International Journal of Microsimulation
4. Individual-level simulation model for cost benefit analysis in healthcare , Jun 3, 2016, Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016, pp. 138 - 144
5. A systematic review of modelling approaches in economic evaluations, Jan 1, 2016, BMC Health Services Research