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MANAGERIAL DECISIONS & BUSINESS MODELING
(Made Easy with Microsoft® Excel)
   
iNTRODUCTION :
 

“ For decades businesses has been using those MBA-taught methods to make sound decisions. This course revolutionalized the teaching of those proven data-analysis & business quantitative modeling techniques by integrating the use of MS Excel as a business tool for analysis, interpretation and presentation of sound business decisions - - in simple and fast-pace manner! ”

 

Making sound business quantitative decisions in a timely manner, with available data, using proven business tools/techniques and correct interpretations are the key skills for today’s Business Managers and Entrepreneurs. Faced with large amounts of information available today, most Business Managers use modern tools (such as Microsoft® Excel spreadsheet program) to help them summarize, report, and analyze data in order to make accurate and better decisions. They also need to build analytical business models to help their company increase profits, reduce costs, or just to manage their operations more efficiently.

This training program covers those important MBA subjects and teaches the participants to use the correct data analysis tools and proven business modeling techniques that could save them tens of hours each week besides providing them with new improved approaches for analyzing important business problems and opportunities. The training approach is hands-on, practical, teach-by-examples with the focused emphasis on “real-world” business scenarios and examples. This program incorporate the use of modern business tools (such as MS Excel) to simplify the task of analysis (e.g. calculating, graphing and searching of statistical tables). In doing so, it allows participants to spend more time focusing on more value-added tasks such as interpreting the business results, optimizing opportunities and creating various business scenarios for those crucial business presentations. The participants wouldn’t just learn about MS Excel formula but learn those important business subjects in a fairly painless fashion! This training program is a must for modern managers and executives who need to acquire these essential business skills to survive and compete in today’s competitive environment.

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NOTE: Value-add MS Excel working templates will be given to participants after the completion of this course. These working templates can save participants hundreds of hours in creating charts and building business scenarios for management reports so that participants can immediately transfer what they have learned in the training back into their workplace.

COURSE OBJECTIVES:

At the end of the course, participants will..

  • Better understand real business quantitative decision-making using proven techniques in the areas of Finance, Operation Management, Sales & Marketing, Business Statistics, and Quality Management.
  • Utilize MS Excel to analyze data accurately, present charts/tables, describe information and interpret results in a fast-pace manner.
  • Learn to solve real work business problems in an efficient and painless manner.
  • Be able to test and make better business and personal decisions for bottom-line results.
  • Learn new techniques to better describe and manage business performances.
  • Be able to build business scenarios fast
course contents:


Introduction:

Role of Management Science in today's business.

Taking advantage of MS Excel analysis & charting power:

  • MS Excel Add-in, functions, charts, etc.
  • Get new perspectives on data with pivot tables.
  • Easy charting and tabling techniques for better decision making.
  • Easy graphing for business presentations

Making Financial Decisions

Analyze data and using decision modeling techniques to quickly:

  • Calculate PV, FV, PMT values
  • Determine a project's NPV, IRR
  • Calculate how long it would take to recoup a project’s startup costs
  • Working Capital & Capital Budgeting management
  • Model business uncertainties

Making Business Operations Decisions

Analyze data and using decision modeling techniques to quickly:

  • Determine which product mix will yield the greatest profits
  • Determine optimal workforce scheduling to minimize cost.
  • Make "Buy or Sell" decisions
  • Solve Transportation and Distribution problems
  • Determine Inventory policy

Making Sales & Marketing Decisions

Analyze data and using decision modeling techniques to quickly:

  • Optimize Sales results
  • Create best, worst, and most-likely scenarios for sales
  • Estimate a product’s demand curve.
  • Interpret the effects of price and advertising on sales

Making Quality Improvements Decisions

Analyze data and using decision modeling techniques to quickly:

  • Perform business statistics anlaysis
  • Summarize data with Descriptive Statistics
  • Prioritizing action plans with Pareto diagram; separating the "Vital Fews" from the "Trivial Many"
  • Analyzing data with Histogram to gauge acceptance & reject percentage.
  • Summarize data with Scatter diagram
  • Perform fundamental Hypothesis testing: Z-tests, t-tests,1-way ANOVA, 2-way ANOVA
  • Using X-mR control chart to gauge & control operational performance.

Exercises:

  • Real business case studies and exercises
  • Business scenarios/ simulations/decison-making
  • Individual & group exercises

**SPECIAL NOTE ** :

1). Pre-requisite: Participants must have some basic Microsoft ® Excel spreadsheet skills such as using formula, work with cell references, edit graphs, etc.

If the participant would like to have prior training on Microsoft® Excel basics before attending this course, please click here to find out more.

2). Class setup must include making available Personal Computers preloaded with MS Excel 2000 (and above) licensed software for participants to hands-on. Participants are encouraged to bring along their own laptop computers.

 

who should attend:
  • - Business Managers, Entrepreneurs, Executives and Engineers
administrative details :
Duration : 2 days
Time : 9.00am - 5.00pm
Venue : In-house or public program
Language medium : English
 
 
Trainer :
Nelson Kok (please click here to see trainer's profile)
 
 
 
 

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