For Sound Business Decisions … For Personal Sense of Purpose

Data, data, data … data everywhere !!!

Today’s Managers and Business Executives find themselves constantly surrounded by voluminous masses of data, figures and numbers of all kinds, from multi-farious sources.  This presents both problems as well as opportunities.  We can choose to allow ourselves to be overwhelmed, overpowered or even confused by these numbers, or we can pick the wiser alternative of learning how to make good business sense out of them.  This is indeed what Statistics is all about   -   making good sense out of data, so that sound business decisions can be made …

Learning Outcomes

At the end of this course, participants will:

  know how to pick the graphical presentation format/type that best suits the data,  the application,

the objective and the occasion

  understand the adverse effects of poor graphical techniques on decision-making

 see  how  the  use of  statistical techniques can help turn a wilderness of  seemingly unintelligible

figures into useful and meaningful decision-making aids 

Day 1

  Comparative Data

   Time Trends

   Breakdown of causes contributing to a problem

   Distributions

   Pie-charts & composite charts

   The nature of data (Variables vs Attributes):  Implications on charting

   The role of data and charts in decision-making

   Data and information

   Characteristics of Quantitative Indices

   Characteristics of Effective Performance Indicators

Day 2

   Designing Performance Indicators

   Scatter plots

   Regression:  A simple trend forecasting technique

   Real-life case studies

   Problem-solving Simulation game

Who will Benefit

For managers and executives in non-technical functions (HR, Finance, Planning, etc.) who …

…  want to understand the critical role of data in decision-making in the business world

…  want to reap the full benefits of data

…  want to know how to convert data to information

…  are seeking the best means to present their data to best advantage …

     to make data speak for them …

…  want to impress with their data