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DATA APPLICATION IN
DECISION MAKING
FRAMEWORK
By: Amos JMM
CONTENTS
1.INTRODUCTION
2.DATA COLLECTION METHODS
3.STORAGE OF DATA
4.ANALYSIS OF DATA
5.PERFORMANCE REPORTING
INTRODUCTION
• Data is a set of values of qualitative or
quantitative variables.
• Data is a collection of facts, such as
numbers, words, measurements,
observations or even just descriptions of
things.
• Data and Information are often used
interchangeably
• However, Information is the meaningful
well processed data
Introduction. .
• Data is mainly used for :-
Quick decision making
Improving performance
Gaining competitive/Negotiation
advantage
Forecasting/Predicting
Innovation
Sustainable Competitive
DATA COLLECTION METHODS
• Direct inquiry from individuals or
organizations
• Conducting experiments
• Conducting surveys
• Direct observations
STORAGE OF DATA
• Storage of Data should be grouped into
their types and/or nature of activities
• There are Qualitative and Quantitative
Data
• Data should be represented by
Variables
• Data should be stored in Reliable
FOLDERS; hardcopies or/and softcopies
• Access of stored data should be
ANALYSIS OF DATA
 Descriptive Statistics
Central Tendency
Dispersion(Variation)
Relationship
Skewness (Shape)/Kurtosis (pickness)
 Descriptive Techniques (Tables &
Graphs)
Categorical
Numerical
 Inferences(Hypothetical)
ANALYZED DATA in Performance
REPORTING
• Compare results progress for three
periods (Quantitatively or Qualitatively)
Current period
Similar previous period
Year To Date (YTD) or Prior period
• Describe/comment briefly the reason
for variations
• Be consistent in comparison method
and commentaries
PERFORMANCE REPORTING
- Example
The End

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Data in decision making ppt secol

  • 1. DATA APPLICATION IN DECISION MAKING FRAMEWORK By: Amos JMM
  • 2. CONTENTS 1.INTRODUCTION 2.DATA COLLECTION METHODS 3.STORAGE OF DATA 4.ANALYSIS OF DATA 5.PERFORMANCE REPORTING
  • 3. INTRODUCTION • Data is a set of values of qualitative or quantitative variables. • Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things. • Data and Information are often used interchangeably • However, Information is the meaningful well processed data
  • 4. Introduction. . • Data is mainly used for :- Quick decision making Improving performance Gaining competitive/Negotiation advantage Forecasting/Predicting Innovation Sustainable Competitive
  • 5. DATA COLLECTION METHODS • Direct inquiry from individuals or organizations • Conducting experiments • Conducting surveys • Direct observations
  • 6. STORAGE OF DATA • Storage of Data should be grouped into their types and/or nature of activities • There are Qualitative and Quantitative Data • Data should be represented by Variables • Data should be stored in Reliable FOLDERS; hardcopies or/and softcopies • Access of stored data should be
  • 7. ANALYSIS OF DATA  Descriptive Statistics Central Tendency Dispersion(Variation) Relationship Skewness (Shape)/Kurtosis (pickness)  Descriptive Techniques (Tables & Graphs) Categorical Numerical  Inferences(Hypothetical)
  • 8. ANALYZED DATA in Performance REPORTING • Compare results progress for three periods (Quantitatively or Qualitatively) Current period Similar previous period Year To Date (YTD) or Prior period • Describe/comment briefly the reason for variations • Be consistent in comparison method and commentaries