Introduction to Business Intelligent Systems Week 1 Dr. Jocelyn San Pedro School of Information Management & Systems Monash University IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 Staff- Dr. Jocelyn San Pedro T1.28 Level 1, Building T, Caulfield Campus Jocelyn.sanpedro@sims.monash.edu.au www.sims.monash.edu.au/staff/jsanpedro Email correspondence: Subject: IMS3001 Email enquiries anytime, but expect replies by Thursday PM Consultation Hours: 2-3 PM Tu,Th,Fri (by appointment) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 2 The Unit 2-Hour lecture per week 2-Hour tutorial per week Tutorials begin in Week 2 (i.e. next week) Please make sure you are assigned to a tutorial in Allocate+ no student will be admitted to a tutorial unless they are on the class list. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 3 Synopsis evolution and current state of the art of the theory and practice of business intelligence systems; role of these business intelligence systems in providing intelligence information to business decision makers development process and some key techniques that support it IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 4 Aim provide students with introductory knowledge of concepts, development and use of business intelligence systems IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 5 Objectives At the completion of this unit the students will: have knowledge of: the scope and application of business intelligence systems the role of business intelligence systems in supporting business decision making the major approaches to the development of business intelligent systems evolution of business intelligence systems IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 6 Objectives have an understanding of: the process of business intelligence systems development current state of the art of the theory and practice of business intelligence systems have the skills to: organise, analyse and interpret data for the purpose of supporting business decision making understand managerial problem solving activity as well as problem finding activity for supporting business decision making IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 7 Objectives have developed attitudes which enable them to: identify and evaluate business intelligence opportunities plan for business intelligence solution and implementation work closely with business intelligence team IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 8 Assessment Class Participation in tutorials Assignment due Week 9, during tutorial Exam, Overall Assessment Value 10% Value 30% Value 60% 100% IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 9 Lecture 1 - Outline What is Business Intelligence (BI)? What is Business Intelligence System (BIS)? What is the role of BIS in supporting business decision making? How did BIS evolve? IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 10 Learning Objectives Define business intelligence (BI) and business intelligence systems (BIS) Explain the role of BIS in supporting business decision making; Identify the different BIS that were introduced in the past and explain how such systems supported business decision making IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 11 What is Business Intelligence? IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 12 What is Business Intelligence? According to vendors: a segment of information technology that comprises software systems that enable finding, storing, organising and supplying data; when incorporated into an information system, it enables company to utilise real-time analysis of information Information Technology Toolbox www.ITToolbox.com IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 13 What is Business Intelligence? software that enables business users to see and use large amounts of complex data (e.g. multidimensional analysis, query tools, data mining tools) SDG Computing www.sdgcomputing.com IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 14 What is Business Intelligence? a category of applications and technologies for gathering, storing, analysing, reporting on and providing access to data to help enterprise users make better business decisions Cognos (www.cognos.com) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 15 What is Business Intelligence? markets business performance software, comprised of three subcategories that includes ad hoc query and analysis, reporting/OLAP, executive information systems and analytical applications Brio (www.brio.com) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 16 What is Business Intelligence? a set of concepts and methods to improve business decision making by using factbased support systems (e.g. briefing books and executive information systems in the 1990s) Gartner Group www.gartner.com IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 17 What is Business Intelligence? BI lets organisations access, analyse, and share information internally with employees and externally with customers, suppliers, and partners Business Objects www.businessobjects.com IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 18 What is Business Intelligence? BI helps corporations transform their operational data into actionable information; helps meet query reporting and advanced analytical needs MicroStrategy www.microstrategy.com IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 19 What is Business Intelligence? BI is a performance management framework, an ongoing cycle by which companies set their goals, analyze their progress, gain insight, take action, measure their success, and start all over again It helps decision makers make better decisions faster at both strategic and operating levels Vitt, Luckevich and Misner (2002) Microsoft Corporation IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 20 What is Business Intelligence? According to non-vendors: BI is processed information of interest to management about the present and future environment in which business is operating Greene (1966) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 21 What is Business Intelligence? Processed information vs. data data - raw material that is composed of facts intelligence information - information digested, analysed, and interpreted for the purpose of decision making Management has crucial role in BI, determines what will be in the domain of BI what information if of interest or relevant to its decision Company’s environment Present environment (mostly for tactical intelligence) Future environment (mostly for strategic intelligence) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 22 What is Business Intelligence? Operational Intelligence Affects operational levels of organisation on daily, weekly, monthly basis Tactical Intelligence Affects a part of organisation for a limited time (i.e., coming year) into the future Strategic Intelligence Affects the entire organisation, or a major part of it for a long period of time (i.e., 2 - 5 years and beyond) PURPOSE OF BI Shift from reliance on short-term tactical decisions to better use of strategic intelligence in the decisionmaking process Greene (1966) (cont) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 23 What is Business Intelligence? BI results from full appraisal of information, past actions, and options; once sown, it tends to propagate itself across an organisation Liautuad and Hammond (2000) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 24 What is Business Intelligence? BI refers to the ability to understand the interrelationships of presented facts – whether they involve data, information and/or knowledge – in such a way to guide action toward one or more desired goals Thierauf (2001) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 25 What is Business Intelligence? Relationship of intelligence to various levels of summarisation Data – unstructured data Information – structured data useful for analysis Knowledge - obtained from experts based on actual experience Intelligence – keen insight into understanding important relationships Thierauf (2001) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 26 What is Business Intelligence? BI centers on computerised methods and processes to improve strategic, tactical and operational decisions using data, information, and knowledge from multiple sources as well as applying experience and assumptions to develop an accurate understanding of the dynamic surrounding decision making Thierauf (2001) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 (cont) 27 For this UNIT – IMS3001 We shall adopt the definition of BI by nonvendors – process, organisational function, product Processing of information – collecting, organising, analysing, gaining insight, interpreting, reporting data, taking action, measuring the benefits of such actions for the purpose of supporting decision making Generally in the context of decision support IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 28 What is a Business Intelligence System? IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 29 What is Business Intelligence System? BIS is an information system that provides BI to business decision makers at different levels of organisation (operational, tactical, strategic levels) BIS is an information system that turns selected data, information, and/or knowledge into desired intelligence for business gain (Thierauf, 2001) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 30 What is the role of Business Intelligence System? IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 31 Role of BIS Provide decision makers with the ability to understand (i.e., the intelligence to gain insights into) the relationships of presented facts in the form of data, information, and knowledge in order to guide action toward a desired actionable goal (Thierauf, 2001) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 32 Role of BIS Provide decision makers with timely data, information and knowledge for problem solving, and problem finding Past : Decision making as Problem Solving activity Reactive approach –use of appropriate management technologies to resolve current problems as they arise Current: Business intelligence activity as problem solving, as well as problem finding Proactive, preventive approach – anticipating future company problems; looking for future opportunities IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 33 How did Business Intelligence Systems evolve? IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 34 Evolution of BIS Computer-based Support Systems technologies 1950s 1960s 1970s 1980s 1990s Transaction Processing Systems (TPS) Management Information Systems (MIS) Office Automation Systems Decision Support Systems (DSS) DSS Expanded Commercial applications of Expert Systems Executive Information Systems (EIS) Group Support Systems Neural Computing Integrated, hybrid computer systems Turban and Aronson (2001 35 ) IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 Attributes of Computer-based Support Systems (Turban and Aronson, 2001) Dimensio Applications TPS Payroll, inventory, record keeping, and sales information MIS Production control, sales forecasting, monitoring DSS Long-range strategic planning, complex integrated problem areas ES Diagnosis, strategic planning, internal planning, maintenance strategies, narrow domain EIS Support to top management, decision, environmental scanning IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 36 Attributes of Computer-based Support Systems (Turban and Aronson, 2001) Dimension Focus TPS Data transactions MIS Information DSS Decisions, flexibility, user-friendliness ES Inferencing, transfer of expertise EIS Tracking, control “drill down” IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 37 Attributes of Computer-based Support Systems (Turban and Aronson, 2001) Dimension Decision Capabilities TPS No decision, or simple decision models MIS Structured routine problems using operations research tools DSS Semi-structured problems, integrated research models, bled of judgment and support capabilities ES The system makes complex decisions, unstructured; use of rules (heuristics) EIS None IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 38 Attributes of Computer-based Support Systems (Turban and Aronson, 2001) Dimension Highest Organisation Level served TPS Sub-managerial, low management MIS Middle management DSS Top management ES Top management and specialists EIS Senior executives IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 39 More BIS technologies 1990s Data warehouses Enable decision makers to “pull” BI from a large centralised repository created to support the information requirements of an organisation’s decision makers. 1990s OLAP (On-Line Analytical Processing) systems Enable decision makers to build and work with analytical models easily and view the output in multiple dimensions 1990s Knowledge Management Systems (KMS) Go beyond relationships found in information allowing decision makers to extract patterns, trends, correlations that underlie the interworkings of a company currently and over time IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 40 Summary Vendors define BI according to what their products can do for the business enterprise Limited in scope; mostly refers to data analysis, querying and reporting Non-vendors refer to BI as a process, an organisational function, and a product Process – of converting data into actionable information – from unstructured data to keen insight and understanding of interrelationships of presented facts Organisational function – strategic management function that affects the entire or major part of organisation Product – processed information for the purpose of supporting business decision making IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 41 Summary BIS is an information system that provides BI to business decision makers BIS evolved from the concept of Computer-based Support Systems decision support technologies New BIS terminologies – data warehousing, OLAP, KMS IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 42 References Vitt, E., Luckevich, M. and Misner, S. (2002) Business Intelligence, Microsoft Corporation. Greene, R. (1966) Business Intelligence and espionage. Dow-Jones Irwin, Homewood, Ill. Lintaud, B. (2000) e-Business Intelligence: Turning Information into Knowledge into Profit, McGraw Hill, New York. Thierauf, R. (2001) Effective business intelligence systems, Quorum Books. Turban, E. and Aronson, J. (2001) Decision Support and Intelligent Systems, 6th Ed, Prentice Hall. IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 43 Questions? Jocelyn.sanpedro@sims.monash.edu.au School of Information Management and Systems, Monash University T1.28, T Block, Caulfield Campus 9903 2735 IMS3001 – BUSINESS INTELLIGENCE SYSTEMS – SEM 1 , 2004 44