MBA7025_01.ppt/Jan 13, 2015/Page 1 Georgia State University - Confidential MBA 7025 Statistical Business Analysis Introduction - Why Business Analysis.

Slides:



Advertisements
Similar presentations
Desktop Business Analytics -- Decision Intelligence l Time Series Forecasting l Risk Analysis l Optimization.
Advertisements

INTRODUCTION TO MODELING
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall.
Chapter 1 DECISION MODELING OVERVIEW. MGS 3100 Business Analysis Why is this class worth taking? –Knowledge of business analysis and MS Excel are core.
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall Publishers and Ardith E. Baker.
DECISION SUPPORT SYSTEM ARCHITECTURE: THE MODEL COMPONENT.
Introduction to Research Methodology
Chapter 1: Introduction to Managerial Decision Modeling © 2007 Pearson Education.
Decision Making: An Introduction 1. 2 Decision Making Decision Making is a process of choosing among two or more alternative courses of action for the.
Information and Decision Support Systems
1 SEGMENT 3 Modeling and Analysis. 2 n Major DSS component n Model base and model management n CAUTION - Difficult Topic Ahead –Familiarity with major.
Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall Chapter Chapter 4: Modeling Decision Processes Decision Support Systems in the.
1 1 Operations Research The OR Process
Introduction to Modeling
Chapter 1 Introduction to Managerial Decision Modeling
© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 4-1 Chapter 4 Modeling and Analysis Turban,
Chapter 4 MODELING AND ANALYSIS.
6/30/20151 Decision Making 3 Factors in decision- making.
Lead Black Slide. © 2001 Business & Information Systems 2/e2 Chapter 11 Management Decision Making.
Information and Decision Support Systems
Robert M. Saltzman © DS 851: 4 Main Components 1.Applications The more you see, the better 2.Probability & Statistics Computer does most of the work.
Alok Srivastava Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Organizational Context Policies, Goals,
Operations Research I Lecture 1-3 Chapter 1
Decision analysis and Risk Management course in Kuopio
The Academy of Public administration under the President of the Republic of Uzbekistan APPLICATION MODERN INFORMATION AND COMMUNICATION TECHNOLOGY IN DECISION.
Quantitative Business Analysis Course Introduction By Aziza Munir.
© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 4-1 Chapter 4 Modeling and Analysis Turban,
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved © 2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or.
Model Based DSS Creating Information Under Conditions of Uncertainty and Complexity Interface MODEL BASE DATA BASE MBMSDBMS DATA WAREHOUSING ON LINE ANALYTICAL.
Chapter 4 MODELING AND ANALYSIS 8 th Edition 12nd semester 2010 Dr. Qusai Abuein.
DSS Modeling Current trends – Multidimensional analysis (modeling) A modeling method that involves data analysis in several dimensions – Influence diagram.
Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Organizational Context Policies, Goals, and Objectives.
Business Analysis An Overview of Business Decision Making.
Highline Class, BI 348 Basic Business Analytics using Excel, Chapter 01 Intro to Business Analytics BI 348, Chapter 01.
Decision Support Systems C H A P T E R 10. Decision Making and Problem Solving.
MBA7020_05.ppt/June 27, 2005/Page 1 Georgia State University - Confidential MBA 7020 Business Analysis Foundations Time Series Forecasting June 27, 2005.
Modeling and Analysis By Dr.S.Sridhar,Ph.D., RACI(Paris),RZFM(Germany),RMR(USA),RIEEEProc. web-site :
Managerial Decision Making and Problem Solving
Decision Making.
1 Introduction Chapter What Is Management Science? Management Science is the discipline that adapts the scientific approach for problem solving.
Decision Making, Systems, Modeling, and Support
Chapter 4 MODELING AND ANALYSIS. Model component Data component provides input data User interface displays solution It is the model component of a DSS.
Model Driven DSS Chapter 9. What is a Model? A mathematical representation that relates variables For solving a decision problem Convert the decision.
MGS3100_01.ppt/Aug 25, 2015/Page 1 Georgia State University - Confidential MGS 3100 Business Analysis Introduction - Why Business Analysis Aug 25 and 26,
MBA7020_01.ppt/June 13, 2005/Page 1 Georgia State University - Confidential MBA 7020 Business Analysis Foundations Introduction - Why Business Analysis.
1 CHAPTER 2 Decision Making, Systems, Modeling, and Support.
1 (CHAPTER 5 Con’t) Modeling and Analysis. 2 Heuristic Programming Cuts the search Gets satisfactory solutions more quickly and less expensively Finds.
Lecture 1 – Operations Research
Management Science Helps analyze and solve organizational problems. It uses scientific and quantitative methods to set up models that are based on controllable.
MODELING AND ANALYSIS Pertemuan-4
Operations Research The OR Process. What is OR? It is a Process It assists Decision Makers It has a set of Tools It is applicable in many Situations.
Managerial Decision Modeling with Spreadsheets Chapter 1 Introduction to Managerial Decision Modeling.
CHAPTER 3 Managers and Decision Making 1. Decision Making, Systems, Modeling, and Support 2  Conceptual Foundations of Decision Making  The Systems.
Decision Support and Business Intelligence Systems (9 th Ed., Prentice Hall) Chapter 4: Modeling and Analysis.
Decision Analysis & Decision Support Systems: DADSS Lecture 1: Introduction to Modeling John Gasper.
1 Chapter 1 Introduction to Accounting Information Systems Chapter 2 Intelligent Systems and Knowledge Management.
© 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Decision Support and Business Intelligence Systems (9 th Ed., Prentice Hall) Chapter 4: Modeling and Analysis.
Chapter 1: Introduction to Managerial Decision Modeling.
Prepared by John Swearingen
Chapter 4 Modeling and Analysis
PEMODELAN DAN ANALISIS
Robert P. King Department of Applied Economics April 14, 2017
OPERATING SYSTEMS CS 3502 Fall 2017
Organizational Context
The Modeling Process Objective Hierarchies Variables and Attributes
Introduction to Modeling
Introduction to Decision Sciences
Decision Support Systems Lecture II Modeling and Analysis
Introduction to Decision Sciences
Presentation transcript:

MBA7025_01.ppt/Jan 13, 2015/Page 1 Georgia State University - Confidential MBA 7025 Statistical Business Analysis Introduction - Why Business Analysis Jan 13, 2015

MBA7025_01.ppt/Jan 13, 2015/Page 2 Georgia State University - Confidential Agenda Business Analysis - Models The Modeling Process Introduction to Decision Sciences

MBA7025_01.ppt/Jan 13, 2015/Page 3 Georgia State University - Confidential Decision Sciences: Conceptualized! Information Technology Analytical Methods Decision Making

MBA7025_01.ppt/Jan 13, 2015/Page 4 Georgia State University - Confidential What is Decision Sciences Grocery Industry Kroger Travel Industry Delta SkyMiles Marriott Rewards Gambling Industry MGM Mirage Players Club The Mirage Treasure Island Bellagio New York New York MGM Grand Retail Business Best Buy Circuit City Macy

MBA7025_01.ppt/Jan 13, 2015/Page 5 Georgia State University - Confidential Agenda Business Analysis - Models The Modeling Process Introduction to Decision Sciences

MBA7025_01.ppt/Jan 13, 2015/Page 6 Georgia State University - Confidential MBA 7025 Statistical Business Analysis Course Overview

MBA7025_01.ppt/Jan 13, 2015/Page 7 Georgia State University - Confidential Deterministic Models vs. Probabilistic (Stochastic) Models Deterministic Models are models in which all relevant data are assumed to be known with certainty. can handle complex situations with many decisions and constraints are very useful when there are few uncontrolled model inputs that are uncertain. are useful for a variety of management problems. are easy to incorporate constraints on variables. software is available to optimize constrained models. allows for managerial interpretation of results. constrained optimization provides useful way to frame situations. will help develop your ability to formulate models in general.

MBA7025_01.ppt/Jan 13, 2015/Page 8 Georgia State University - Confidential Deterministic Models vs. Probabilistic (Stochastic) Models Probabilistic (Stochastic) Models are models in which some inputs to the model are not known with certainty. uncertainty is incorporated via probabilities on these “random” variables. very useful when there are only a few uncertain model inputs and few or no constraints. often used for strategic decision making involving an organization’s relationship to its environment.

MBA7025_01.ppt/Jan 13, 2015/Page 9 Georgia State University - Confidential Classification of Models By problem type Forecasting Decision Analysis Constrained Optimization Monte Carlo Simulation By data type Time series Exponential smoothing Moving average Cross sectional Multiple linear regression By causality Causal: causal variable Non-causal: surrogate variable Methodologies 1. Qualitative Delphi Methods 2. Quantitative - Non-statistical Using “comparables” 3. Quantitative - Statistical Time-series Regression

MBA7025_01.ppt/Jan 13, 2015/Page 10 Georgia State University - Confidential Analytical Methods Quantitative Methods Mathematical / Algebraic / Calculus Methods Statistical Modeling and Analysis Management Science / Operations Research Techniques Accounting / Financial Modeling Qualitative Methods Nominal Group Techniques Heuristic Based Methods Expert Systems / AI

MBA7025_01.ppt/Jan 13, 2015/Page 11 Georgia State University - Confidential UNCERTAINTY Facts not known Gather Information Fact Finding /.Analysis DATA BASED COMPLEXITY Too many facts Generate Information Simulation/Synthesis MODEL BASED EQUIVOCALITY Facts not Clear Interpret Information Application of Expertise KNOWLEDGE BASED Decision Environment

MBA7025_01.ppt/Jan 13, 2015/Page 12 Georgia State University - Confidential Types and Levels of Decisions STRATEGIC TACTICAL OPERATIONAL UNSTRUCTURED STRUCTURED TRANSACTION PROCESSING MANAGEMENT INFORMATION DECISION SUPPORT

MBA7025_01.ppt/Jan 13, 2015/Page 13 Georgia State University - Confidential Applications of Information Technology Transaction Processing Systems Management Information Systems Decision Support Systems

MBA7025_01.ppt/Jan 13, 2015/Page 14 Georgia State University - Confidential Decision Support Systems Data Base Model Base Knowledge Base User Interface

MBA7025_01.ppt/Jan 13, 2015/Page 15 Georgia State University - Confidential Agenda Business Analysis - Models The Modeling Process Introduction to Decision Sciences

MBA7025_01.ppt/Jan 13, 2015/Page 16 Georgia State University - Confidential Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Organizational Context Policies, Goals, and Objectives Givens Values, Purpose, Structure, Politics, Environment, etc. What should be done ? Analytics, Decision Making When and how ?? Strategic Direction Decision Making Implementation Project Management

MBA7025_01.ppt/Jan 13, 2015/Page 17 Georgia State University - Confidential Managerial Decision Making Information Technology Solutions for Improving Effectiveness Complexity What does it add up to? Uncertainty What can happen? INTELLIGENCECHOICE DESIGN DATAMODELS Variables (Measures and Estimates) Probabilities and Estimates Structuring Relationships Problem Representation Generation of Alternatives Decision Analysis and Influence Diagrams for Visualizing Models and Choices Spreadsheet Models for managing complex relationships and detail

MBA7025_01.ppt/Jan 13, 2015/Page 18 Georgia State University - Confidential The Modeling Process Quantitative - Statistical Variables and Attributes Objective Hierarchies Influence Diagrams Mathematical Representation Testing and Validation Implementation and use Describe Problem / opportunity Identify Overall Objective Organize Sub-Objectives into a hierarchy Identify Model’s Objective Determine all variables and their attributes Decide on Measurement / Data Collection Graphically depict relationships among variables Distinguish between Decision and outcome variables Determine mathematical relationships among variables Develop mathematical model(s) Evaluate reliability and validity Understand limitations Implement models in DSSs Clarify assumptions, inputs, and outputs

MBA7025_01.ppt/Jan 13, 2015/Page 19 Georgia State University - Confidential The Modeling Process Quantitative – Non-Statistical Managerial Approach to Decision Making Manager analyzes situation (alternatives) Makes decision to resolve conflict Decisions are implemented Consequences of decision These steps Use Spreadsheet Modeling