Day 7 Business Information Systems-- the portfolio. Today s Learning Objectives



Similar documents
Business Intelligence and Decision Support Systems

Evolution of Information System

CHAPTER 12: INFORMATION SYSTEMS IN BUSINESS

Data Warehousing and Data Mining in Business Applications

Stages of Decision Making. Chapter 15: Decision Support System and Executive Information System. Structured vs. Unstructured Decision Stages

Enhancing Business Intelligence Using Information Systems

Course DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

Improving Decision Making and Managing Knowledge

Chapter Managing Knowledge in the Digital Firm

Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

A Knowledge Management Framework Using Business Intelligence Solutions

Enhancing Decision Making

How To Understand Information Systems

Foundations of Business Intelligence: Databases and Information Management

Information Systems and Technologies in Organizations

INFO What are business processes? How are they related to information systems?

MANAGEMENT INFORMATION. Prepared By: Hardeep Singh

Decision Support and Business Intelligence Systems. Chapter 1: Decision Support Systems and Business Intelligence

E-Business, E-Commerce, and Information Systems

IT FOR BUSINESS AND FINANCE. BUSINESS PROCESSES and INFORMATION SYSTEMS

Chapter 5. Warehousing, Data Acquisition, Data. Visualization

Fundamentals of Information Systems, Seventh Edition

Department of Industrial Engineering. Sharif University of Technology

KM road map. Technology Components of KM. Chapter 5- The Technology Infrastructure. Knowledge Management Systems

Management Information System Prof. Biswajit Mahanty Department of Industrial Engineering & Management Indian Institute of Technology, Kharagpur

MIS for MBA Students... Dr. Atif Ali Mohamed... UST

CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University

Alexander Nikov. 2. Information systems and business processes. Learning objectives

INTELLIGENT DECISION SUPPORT SYSTEMS FOR ADMISSION MANAGEMENT IN HIGHER EDUCATION INSTITUTES

IT Components of Interest to Accountants. Importance of IT and Computer Networks to Accountants

OLAP and OLTP. AMIT KUMAR BINDAL Associate Professor M M U MULLANA

Course Description Bachelor in Management Information Systems

Chapter 4 Getting Started with Business Intelligence

Fundamentals of Information Systems, Fifth Edition. Chapter 1 An Introduction to Information Systems in Organizations

Decision Support Framework for BIS

The Integration of Agent Technology and Data Warehouse into Executive Banking Information System (EBIS) Architecture

Computer Information Systems

Knowledge Management

Class 2. Learning Objectives

KEY KNOWLEDGE MANAGEMENT TECHNOLOGIES IN THE INTELLIGENCE ENTERPRISE

Technologies for Knowledge Management WK-7

Chapter 6 - Enhancing Business Intelligence Using Information Systems

Unit Title: Personnel Information Systems Unit Reference Number: F/601/7510 Guided Learning Hours: 160 Level: Level 5 Number of Credits: 18

Foundations of Business Intelligence: Databases and Information Management

IT1104- Information Systems & Technology (Compulsory)

Management Information Systems

Building a Database to Predict Customer Needs

Introduction to Management Information Systems

Cis330. Mostafa Z. Ali

Improving Decision Making and Managing Knowledge

Important dimensions of knowledge Knowledge is a firm asset: Knowledge has different forms Knowledge has a location Knowledge is situational Wisdom:

Course MIS. Foundations of Business Intelligence

Chapter I: Supporting Business Decision-Making

Page 1 of 5. (Modules, Subjects) SENG DSYS PSYS KMS ADB INS IAT

CHAPTER 12. Business Intelligence

Augmented Search for Web Applications. New frontier in big log data analysis and application intelligence

Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers

Transaction Processing and Enterprise Resource Planning Systems. Goal of Transaction Processing. Characteristics of Transaction Processing

DECISION SUPPORT SYSTEM IS A TOOL FOR MAKING BETTER DECISIONS IN THE ORGANIZATION

The Role of Different Types of Information Systems In Business Organizations : A Review

Fluency With Information Technology CSE100/IMT100

Big Data and Analytics in Government

Chapter 11. Managing Knowledge

Global E-business and Collaboration

Data Mining Techniques

Machine Learning: Overview

Foundations of Business Intelligence: Databases and Information Management

Enterprise Information Systems

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 29-1

How To Write A Management Information System

Information Systems in the Enterprise

MIS refers broadly to a computer-based sys

Chapter 8. Generic types of information systems. Databases. Matthew Hinton

Introduction to Business Information Systems

Business Intelligence Solutions. Cognos BI 8. by Adis Terzić

Introduction to Information System

Framework for Data warehouse architectural components

How To Build A Decision Support System

Chapter 6 FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT Learning Objectives

INSIDE COVER - BLANK

SYLLABUS DECISION SUPPORT SYSTEM & MIS

OLAP Theory-English version

Business Intelligence through Hybrid Intelligent System Approach: Application to Retail Banking

DATA MINING TECHNIQUES SUPPORT TO KNOWLEGDE OF BUSINESS INTELLIGENT SYSTEM

Alexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data

Data Mining: Motivations and Concepts

Chapter 1 DECISION SUPPORT SYSTEMS AND BUSINESS INTELLIGENCE

CHAPTER 12. Business Intelligence

BUSINESS INFORMATION SYSTEMS

Foundations of Business Intelligence: Databases and Information Management

Customer Relationship Management (CRM)

DATA MINING TECHNOLOGY. Keywords: data mining, data warehouse, knowledge discovery, OLAP, OLAM.

Transcription:

Day 7 Business Information Systems-- the portfolio MBA 8125 Information technology Management Professor Duane Truex III Today s Learning Objectives 1. Define and describe the repository components of business information systems (BIS): Production Databases, Data Warehouse, Knowledge Repository 2. Define and describe the BIS applications: TPS, MIS, OLAP (including DSS/EIS/GDSS), Data Mining, Search Engines, Content Editing and Production Tools 3. Define and describe the relationships between the repositories and applications 1

The Business Systems Architecture Transaction Processing Systems (TPS) Production Database Management Information Systems (MIS) DSS, GDSS & EIS On-line Analytical Processing (OLAP) (Deductive) Data Warehouse Knowledge Repository Data Mining (Inductive reasoning) Search Engines & tools Organizational Memory Information System (OMIS) External Data Sources Content Editing & Production tools Collaboration and Coordination tools Definitions(1): Repositories Production Database A collection of pre-specified and highly organized(mostly) textual data in a relational database. Used by TPS and MIS. Has to be very fast and robust Data Warehouse Like production database, a collection of pre-specified and highly organized(mostly) textual data in a relational database. Can be slower Is not mission critical. 2

Definitions(2): Repositories, Continued Knowledge Repository Storage place for unstructured data and information Knowledge is in the linkages between the data and information (e.g. hyperlinks, maps) Knowledge is retrieved through searches Search engines add intelligence to a knowledge repository Two common implementations: Lotus Notes (Knowledge Roach Motel) Intranets Definitions(3): Repositories, Continued External Data Sources Databases and knowledge repositories. Proprietary (paid) Public (free) 3

Definitions(4): Applications TPS (Transaction Processing System) An organized collection of people procedures, databases, and devices to record completed business transactions Any business-related exchange MIS (Management Information Systems) An information system that provides aggregated, summarized information to decision makers. Inputs typically is transaction data acquired from TPS Outputs are standardized, pre-specified reports OLAP (On-line Analytical Processing) Targeted query, the user knows exactly what she is looking for Used in Decision Support Systems (DSS), Executive Information Systems (EIS) and Group DSS (GDSS) Collaboration and Coordination tools email, calendaring,electronic bulletin boards, groupware (Lotus Notes, Groupwise ) Definitions(5): Applications, Continued Organizational Memory Information System The collection of repositories and systems that together preserve an organization s history, and make it available for current and future use Data Mining You don t know what you are looking for The mining software looks for patterns Uses automated statistical pattern matching algorithms Search Engines Tools that let you search through knowledge repositories Examples: Alta Vista, Excite New developments: natural language processing (Ask Jeeves); Dynamically created concept maps 4

Definitions(6): Applications, Continued Content Editing & Production tools HTML Editors and site management tools: Dreamweaver, Frontpage, Netscape Composer Word Processors, (e.g. Word, Wordperfect) Multimedia presentation tools: Static: Powerpoint Dynamic/interactive: Dreamweaver Business Information Systems in Perspective Transaction processing systems provide the raw material for the other types of information system within most business organizations. More More Decision Support Systems Management Information Systems Transaction Processing Systems Complexity Dependence on external data Routine More 5

Transaction Processing System Transaction Any business-related exchange Transaction processing systems (TPS) An organized collection of people procedures, databases, and devices to record completed business transactions Hours Worked Pay Rate Payroll Transaction Processing Payroll Checks Transaction Processing Systems Transactions Basic business activities such as customer orders, time cards, and payroll checks TPS process the detailed data necessary to update records about fundamental business operations of an organization. Data should be captured at its source. It should be recorded accurately, in a timely fashion, with minimal manual effort, and in a form that can be directly entered into the computer. 6

Characteristics of Transaction Processing Systems Provide fast, efficient processing to handle large amounts of input and output Perform rigorous data editing to ensure that records are accurate and up to date Are audited to ensure that all input data, processing, procedures, and output are complete, accurate, and valid Example of Source Data Automation Customer Receipt Scanner UPC Time, date, quantity Point-of-Sale TPS Inventory MIS Exception Report Point-of-Sale Transaction Processing System 7

Management Information System (MIS) An information system that provides aggregated, summarized information to decision makers. Inputs typically is transaction data acquired from TPS Outputs are standardized, prespecified reports Management Information System (MIS) Marketing MIS Manufacturing MIS Common Database Financial MIS TPS Other MISs 8

Outputs of a Management Information System Scheduled reports Produced periodically or on a schedule (daily, weekly, monthly) Key-indicator report Type of scheduled report that summarizes the previous day s critical activities Typically available at the beginning of each workday continued... Demand reports Outputs of a Management Information System Developed to give certain information at a manager s request Exception reports Automatically produced when a situation is unusual or requires management action Drill-down reports Provides increasingly detailed data about a situation 9

Decision Support System (DSS) An information system that support different decision making styles through on-the-fly queries and pre-specified models, using data from internal and external sources, presented according to user preferences Model Base Database User Interface Models Bases Conceptual Model of a DSS Internal Databases Model Management System Database Management System Dialogue Manager Interface to External sources External Databases and models User 10

Decision Support Systems Primary characteristic: performs different types of analyses What-if analysis Makes hypothetical changes to problem and observes impact on the results Simulation Duplicates features of a real system Goal-seeking analysis Determines problem data required for a given result Decision Support Systems An information system that supports different decision making styles through on-the-fly queries and pre-specified models, using data from internal and external sources, presented according to user preferences Focus on decision-making effectiveness when faced with unstructured or semi-structured business problems Decision Support Systems can help identify potential mistakes and provide a structure that makes it more difficult for a person to make a mistake. With the use of decision support systems, employees risk losing touch with the underlying principles that guide the enterprise. 11

Artificial intelligence Artificial Intelligence A field that involves computer systems taking on the characteristics of human intelligence General Categories: Expert Systems Neural Networks Case Based Reasoning Collaborative Filtering Components of Expert Systems Inference Engine User Interface and Explanation facility Subject Knowledge Base Knowledge Acquisition System User Interface Human Subject Domain Experts User 12

AI Applications Years of overpromise and underdelivery, but now new technologies: Voice recognition Optical character recognition Handwriting recognition Search engines Tangible results, e.g. Credit Card Fraud Detection Stock market prediction Automated Helpdesks Great/Annoying Personal Assistants in Office Suite Wrap Up 13

A Look ahead Study questions 14