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Enhancing Decision Making Information driven management for better performance thru better decisions.

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Presentation on theme: "Enhancing Decision Making Information driven management for better performance thru better decisions."— Presentation transcript:

1 Enhancing Decision Making Information driven management for better performance thru better decisions

2 What to sell? What price to charge? – Starbucks Software to analyze – How demand responds to changes in price – Duane Reade drugstore chain Able to raise diapers for new born infants without losing sales – Business analytics software

3 – HauteLook Fashion Web site Southerners – Buy more white, green, and pink – Women are thinner on both coasts – flowers SAS Inc. Tailor “specials” to target real customer needs

4 – Software to improve profitability What price to charge What items to sell

5 Decision Making & Information Systems Business Intelligence in the Enterprise Business Intelligence Constituencies

6 Decision Making & Info Systems – Business value of improved decision making

7 – Types of Decisions Unstructured decisions – Judgment, evaluation, insight Structured decisions – Repetitive and routine – Definite procedure Semistructured

8

9 – The Decision-Making Process

10 – Managers & Decision Making in the real world Managerial functions & roles – Classical model » Planning » Organizing » Coordinating » Deciding » controlling

11 – Behavioral model » Managers perform a great deal of work » Managerial activities are fragmented » Managers prefer current, specific, and ad hoc info » Managers prefer oral forms of communication Flexible, fast response » Managers maintain diverse and complex web of contacts

12 Mintzberg’s 10 managerial roles – Interpersonal roles 1.Figurehead (telepresence systems) 2.Leader (telepresence, social networks) 3.Liaison (smartphones, social networks) – Informational roles 4.Nerve center (MIS, ESS) 5.Disseminator ( , social networks) 6.Spokesperson (Webinars, telepresence) – Decisional roles 7.Entrepreneur (None exist) 8.Disturbance handler (None exist) 9.Resource allocator (Business intelligence, DSS) 10.Negotiator (None exist)

13 Real world decision making – Factors affect information technology to produce positive results » Information quality High quality decisions requires high quality info Accuracy Integrity Consistency Completeness Validity Timeliness Accessibility

14 » Management filters Human being absorb info through a series of filters Selective attention Focus on certain kinds of problems and solutions Variety of biases Lehman Brothers Intentionally underestimate the risk of mortgage securities Overly optimistic assumption Overly simplistic data

15 » Organizational Inertia and Politics Organizations are bureaucracies with limited capabilities and competencies for acting decisively Balance various interest groups

16 – High-velocity automated decision making Organization decision are not made by human. – Google’s search – The New York Stock Exchange Decisions are highly structured Decision making process are captured by the software algorithms – May 6, 2010, Dow Jones lost 600 points in minutes

17 Decision Making & Information Systems Business Intelligence in the Enterprise Business Intelligence Constituencies

18 What is Business Intelligence – Ability to take data – Understand the meaning and significance – Act appropriately

19 – Business Intelligence & Business Analytics Business Intelligence – The infrastructure » Warehousing » Integrating » Reporting » Analyzing data from business environment

20 Business Analytics – Tools and techniques » Analyzing » Understanding data Hallmark Cards – SAS Analytics Software – Customers segments » Direct mails » s

21 – Business intelligence vendors SAP Oracle IBM SAS Microsoft

22 The business intelligence environment

23 Business intelligence & analytics capabilities – Production reports – Parameterized reports Starbucks – Sales by region and time – Dashboards/scorecards – Ad hoc query/search/report creation – Drill down – Forecast, scenarios, models

24 Business intelligence users

25 Examples of BI applications – Predictive analytics Capital One – Identify the best potential customers for credit cards – Identify customers who are at risk for leaving FedEx – How customers will respond to price changes

26 – Data visualization and Geographic Information Systems Data visualization – In visual form – In list and text Human capital management systems – Determine when and where to reassign workers

27 GIS – Visualize geographic distribution of people & resources – Manage natural disasters and emergencies

28 – Management strategies for developing BI & BA capabilities One-stop integrated solutions – IBM, HP, Oracle – Advantage: deal with a single dealer – Disadvantage: dependent to one vendor Best-of-breed vendor solutions – SAP, SAS, Microsoft

29 Decision Making & Information Systems Business Intelligence in the Enterprise Business Intelligence Constituencies

30 Business constituencies – Operational management – Middle management – Senior management each has different responsibilities, each has different needs

31 – Operational & Middle management Monitor the performance of key aspects of the business – Downtime of machines – Daily, weekly sales of franchise stores Exceptional conditions (reports) – Fall below an anticipated level – Exceed the spending limits

32 Support for semi-structured decisions – Super users & Keen business analysts » Create their own report » Use more sophisticated analytics and models Find patterns, Test specific hypotheses – Sensitivity analysis – Pivot table » 樞紐分析

33 – Sensitivity analysis

34 – Pivot table 樞紐分析

35 – Progress Insurance Small group of customers, “Cells” Motorcycle riders – Age 30 or older – College education – Credit scores over a certain level – No accidents set prices for each cell Profitably insure traditional high risk categories

36 – Decision support for senior management Balanced scorecard Enterprise performance management affect the overall profitability and success of the firm – ESS Find the really important performance info Develop systems capable of delivering the info

37 – Balanced scorecard methods

38 – Business performance management Firms strategies – Differentiation – Low-cost producer – Market share growth – Scope of operation Operational strategies KPI – Info drawn from the enterprise database systems

39 – Information driven management – Management by facts – Real time management Info drawn from the enterprise database systems

40 – Group decision support systems Interactive computer-based system Collaboration system Video conferencing Communication Group decision making

41 Electronic meeting software – Collect – Document – Rank – Edit – Store ideas


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