CHAPTER TWO STRATEGIC DECISION MAKING and BUSINESS PROCESSES.

Slides:



Advertisements
Similar presentations
1.Data categorization 2.Information 3.Knowledge 4.Wisdom 5.Social understanding Which of the following requires a firm to expend resources to organize.
Advertisements

CHAPTER 4 ANALYTICS, DECISION SUPPORT, AND ARTIFICIAL INTELLIGENCE
Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE
The Decision-Making Process IT Brainpower
1 Information Requirements by Management Level Strategic Management Tactical Management Operational Management Decisions Information.
Chapter 6 Organizational Information Systems
1 McGraw-Hill/Irwin Copyright © 2004, The McGraw-Hill Companies, Inc. All rights reserved. Chapter 8: Decision Support Systems What kind of decisions?
MP3 / MD740 Strategy & Information Systems Oct. 13, 2004 Databases & the Data Asset, Types of Information Systems, Artificial Intelligence.
2-1 Chapter Two Overview Decision-enabling, problem-solving, and opportunity-seizing systems.
Business Driven Information Systems 2e
Information Systems in Organizations
Organizational Information Systems
Decision Support Systems Decision Support MIS and DSS Artificial Intelligence Expert Systems Chapter 9 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill.
1 McGraw-Hill/Irwin Copyright © 2004, The McGraw-Hill Companies, Inc. All rights reserved. Chapter 8: Decision Support Systems Decision Support in Business.
Lead Black Slide. © 2001 Business & Information Systems 2/e2 Chapter 11 Management Decision Making.
Supporting Decision Making Chapter 10 McGraw-Hill/IrwinCopyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved.
10.1 © 2007 by Prentice Hall 10 Chapter Improving Decision Making and Managing Knowledge.
Chapter 2 Decision and Processes: Value Driven Business McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved.
Eleventh Edition 1 Introduction to Essentials for Information Systems Irwin/McGraw-Hill Copyright © 2002, The McGraw-Hill Companies, Inc. All rights reserved.
Eleventh Edition 1 Introduction to Essentials for Information Systems Irwin/McGraw-Hill Copyright © 2002, The McGraw-Hill Companies, Inc. All rights reserved.
Session 5 Decisions + Processes
Business Driven Technology Unit 3 Streamlining Business Operations Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution.
Chapter 2 McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved.
Enabling the Organization – Decision Making CHAPTER 09 Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
CHAPTER TWO DECISIONS AND PROCESSES VALUE DRIVEN BUSINESS
CHAPTER 11 Managerial Support Systems. CHAPTER OUTLINE  Managers and Decision Making  Business Intelligence Systems  Data Visualization Technologies.
CIS 429—Chapter 9 Enabling the Organization— Decision Making.
Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin CHAPTER TWO DECISIONS AND PROCESSES: VALUE DRIVEN BUSINESS.
Streamlining Business Operations
Enabling Organization-Decision Making
1.Knowledge management 2.Online analytical processing 3. 4.Supply chain management 5.Data mining Which of the following is not a major application.
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 10 Supporting Decision Making.
1 INTRODUCTION TO INFORMATION SYSTEMS & DECISION MAKING BUS Abdou Illia, Fall 2015 (August 26, 2015)
Enabling the Organization – Decision Making
1 Chapter 6 Organizational Information Systems Information Systems Today.
Chapter 2: Global E-Business and Collaboration Dr. Andrew P. Ciganek, Ph.D.
© The McGraw-Hill Companies, All Rights Reserved CHAPTER TWO DECISIONS AND PROCESSES VALUE DRIVEN BUSINESS CHAPTER TWO DECISIONS AND PROCESSES VALUE DRIVEN.
Chapter 6 Organizational Information Systems
Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. Decision Support Systems Chapter 10.
Copyright Prentice Hall, Inc. 1 Computers: Information Technology in Perspective, 11e Larry Long and Nancy Long Chapter 10 Information Systems.
McGraw-Hill/Irwin © The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 Enabling the Organization—Decision Making.
Chapter 2  2000 by Prentice Hall. 2-1 How Businesses Use Information Systems Uma Gupta Introduction to Information Systems.
McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, All Rights Reserved Chapter 9 Enabling the Organization – Decision Making.
McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved Business Driven Information Systems 2e CHAPTER 2 STRATEGIC DECISION MAKING CHAPTER.
10-1 Identify the changes taking place in the form and use of decision support in business Identify the role and reporting alternatives of management information.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 DECISION MAKING.
INTRODUCTION TO MANAGEMENT INFORMATION SYSTEM. INTRODUCTION Now a day, there are many companies, which depend on their computers for their day-to-day.
Chapter 4 Decision Support System & Artificial Intelligence.
McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, All Rights Reserved Unit Three Enhancing Business Decisions.
Artificial Intelligence, Expert Systems, and Neural Networks Group 10 Cameron Kinard Leaundre Zeno Heath Carley Megan Wiedmaier.
Information Systems in Organizations Managing the business: decision-making Growing the business: knowledge management, R&D, and social business.
 An Information System (IS) is a collection of interrelated components that collect, process, store, and provide as output the information needed to.
McGraw-Hill/Irwin © The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 Enabling the Organization—Decision Making.
CHAPTER NINE ENABLING THE ORGANIZATION DECISION MAKING What is the value of the decisions we make? The answer is simple: it depends on the value of the.
Management Information Systems Islamia University of Bahawalpur Delivered by: Tasawar Javed Lecture 3b.
Foundations of Information Systems in Business
Artificial Intelligence, simulation and modelling.
CHAPTER 2 Decision Making and Business Processes Opening Case: Information Systems Improve Business Processes at Grocery Gateway Nour El Kadri.
CHAPTER ELEVEN MANAGING KNOWLEGE. Objectives We have been through some of this already Role of knowledge management Types of knowledge management systems.
CHAPTER 14 MANAGING PROJECTS. Project Management (Introduction) These numbers vary based on the study but… We spend about $1 trillion on IT projects 3.
CHAPTER 11 Systems Development and Project Managmenet.
CHAPTER E-BUSINESS AND COLLABORATION
Decision Support Systems
INFORMATION SYSTEM CATEGORIES
DECISIONS AND PROCESSES: VALUE DRIVEN BUSINESS
Management Support Systems: An Overview by Dr. S. Sridhar,Ph. D
Information Systems Supports Business processes
MANAGING KNOWLEDGE FOR THE DIGITAL FIRM
CHAPTER TWO OVERVIEW SECTION DECISION-MAKING SYSTEMS
Improving Decision Making and Managing Knowledge
Presentation transcript:

CHAPTER TWO STRATEGIC DECISION MAKING and BUSINESS PROCESSES

Introduction to Decision Making How do we make decisions? What methods do we use as a basis for the decisions we make? How do we assess whether a decision was good or bad? Could the decision have been improved? Today, decisions are made using massive amounts of data and quantitative (statistical) analysis Fact-based decision making

Decision-making Steps Problem identification Gather facts to Fully understand the problem Who will fix it What recourses are needed Devise possible solutions Evaluate and select Implement

Types of Decisions Operational Structured decisions Software systems are making more and more of these Managerial Sem-istructured decisions Strategic Unstructured decisions

Measuring IT Performance (1) IT capital expenditures can be huge Software / hardware / training 112 Million for Hershey’s ERP Expenditures need to be measured to determine whether they are worthwhile We measure efficiency and effectiveness The two are interrelated

Measuring IT Performance (2) Efficiency metrics (The technology itself) System uptime (availability) Response time (time to render a Web page) Transaction processing performance (database transactions per second) Information accuracy

Measuring IT Performance (3) Effectiveness metrics (How well the technology works) Customer satisfaction Sales increases Cost reductions Use accounting and financial methods to assess Cost/benefit analysis, NPV, ROI, cash flow Usability How many clicks to accomplish a task

Measuring Success Efficiency and effectiveness metrics Critical success factors These should be quantitative Don’t create to many CSFs Key performance indicators How do we measure those CSFs WHAT YOU MEASURE IS WHAT YOU GET

IT Systems and Decision Making Transaction processing systems Management information systems Decision support systems Executive information systems Supply chain systems

Transaction Processing Systems (1) POS transactions All of those Amazon sales Routine banking debit and credits Every credit card swipe VISA processes roughly 12,000,000,000 transactions / year (growing at 14% / year) &p=quarterlyearnings

Transaction Processing Systems (2) System runtime functions Ensures data integrity, availability, security System administration functions Configuration and monitoring Development functions Development of custom business applications

Transaction Processing Systems (3)

Management Information Systems The core role of IT in the 1970’s and early 1980’s Aggregate transaction and produce summary reports Accounting (AR / AP / Payroll / GL) Inventory control Financial statements These are analytical systems

MIS Critical Success Factors Timeliness Users get information when they need it Accuracy Automated and manual internal controls must ensure accuracy Consistency In data collection and processing

Decision Support Systems (1) Decision Support Systems (DSS) provide quantitative tools to help managers make better decisions Executive Information Systems (EIS) are a specialized form of DSS DSS and EIS systems often use data warehousing and data mining to find interesting nuggets DSS and EIS systems often use artificial intelligence

Decision Support Systems (2) Quote from Frito-Lay President Ten years ago, I could have told you how Doritos were selling west of the Mississippi Today, I can tell you how well they are selling in California, in Orange County, in the town of Irvine, in the local Vons supermarket, in the special promotion, at the end of Aisle 4, on Thursdays

Decision Support Systems (3) What-If analysis Sensitivity analysis (Elasticity) Goal-seeking Optimization analysis Excel’s Solver is a good example Data mining may play a part Market basket analysis (AM/PM example)

Who Uses a DSS? Insurance (Florida hurricanes) Assess regions most prone to disaster and the probable risk Predict types of structures most prone to hurricanes Telecommunications Examine call patterns of delinquent customers to predict which will become bad debts Use neural networks to detect fraudulent calls and charges Make sure to watch the FedEx custom critical video

Who Uses a DSS? Credit cards Examine transactions and compare against known spending patterns Use known customers to predict credit worthiness of new accounts Airlines Fares change every hour or so Maximize revenue per seat mile Think of the scheduling problem during a snowstorm

Executive Information Systems These are a specialized form of DSS Goals Consolidation of information Drill-down Slice and dice Many EIS systems rely on digital dashboards

View of IT

Artificial Intelligence (Introduction) Designed to leverage human capabilities rather than replace them Goals Develop machines that think We are trying to mimic human intelligence There philosophical and moral debates about AI

Artificial Intelligence (The Turing Test) A human interviewer and computer interact The test is passed if: The computer did not know if it was interacting with a person The person did not know if it was interacting with a computer No machine has ever passed the Turing test

AI (Case Studies) Authorizing financial transactions AMEX fraud detection Configure hardware and software Dell and others Problem diagnosis

Applications of AI Decision management Diagnostic Design Product or process selection Process control

Domains of AI Expert systems and knowledge- based systems Neural networks Fuzzy logic Soft computing Neural networks Generic Algorithms Robotics Natural Interfaces

Expert Systems The machine is acts as the expert They are knowledge-based information systems Types of knowledge bases Case based Frame based Object bases Rule based Pharmacologic interaction Medical diagnosis

AI (Neural Networks) Try to mimic the operation of the human brain Software that learns Handwriting recognition Medical diagnosis Pattern recognition Sports betting systems

AI (Fuzzy Logic) Deals with uncertainty Near, far, similar to Example Auto-focus cameras

AI (Genetic Algorithms and Intelligent agents) Genetic algorithms Conceptually similar to evolution and genetic mutation Intelligent agents Outlook detects spam and deletes it The Roomba vacuum (

AI (Intelligent Agents) Software surrogate for an end user Uses built in rules to make decisions for an end user Adaptive testing Outlook to delete junk User interface agents Help users run software

Data Mining Use data mining to sift through information to uncover hidden patterns More later

Business Processes A standardized set of activities that accomplish a specific task Business processes are typically connected together A process should be stable (have few, if any, exceptions)

Business Process (Order to Cash) Issue a sales quotation (sales) Receive a purchase order (sales) Issue a sales order (sales) Ship goods (warehouse) Issue an invoice (accounting) Receive payment (accounting

Optimizing Business Processes Improving a business process can Speed the checkout process (automated check stands) Reduce cost (online banking and other transactions) Production and manufacturing optimization Business processes exist in every functional area of a business

Categorizing Business Processes Customer facing processes Seen by the customer Your Web site Business facing processes Seen by the business Human resource systems

Enhancing Business Processes Business Process Improvement Business Process Reengineering Business Process Modeling A graphical description of a business process

Business Process Improvement Make incremental improvements on existing business processes Take advantage of new technologies Simple automation tasks Process improvement can be continuous or apply to a discrete processes

Business Process Reengineering Redesign workflow and existing business processes Reengineering is a sliding scale From a simple change to a process To a complete overhaul of the way a company does business This can carry a high risk of failure

Deciding What to Reengineer Analyze the costs and benefits of the project using financial and accounting methods Perform risk assessment

Modeling (General) A model is a simplified, often pictorial, representation of reality We can model many things Architectural plans and drawing 3-dimensional electronic models Models of business processes

Business Process Modeling Models can be used reverse engineer as system (as-is process) Models can be used to design new processes and workflows (to-be process) Several diagramming tools are used to model systems Flowcharts / UML diagrams / Use case diagrams / etc…

Flowchart of a Business Process

Business Process Management We take a proactive and enterprise- wide approach to Understanding processes Optimizing them Integrating processes across functional business units