管理資訊系統

國際人才培訓班郭倉義

kuo@bm.nsysu.edu.tw

• Official class website– http://bm.nsysu.edu.tw/tutorial/mis

• 5 月 2 日– 早上， Global e-business & Collaboration (2)– 下午， IT infrastructure & Emerging Technology

(5)

• 5 月 9 日– 早上， DBMS (6), mini case presentations– 下午， Ethical & social issues (4), mini cases

Global E-Businessand Collaboration

Use Information Systemsto remain Competitive

Win yacht race with IT

• BMW Oracle Racing Organization– Won the 33rd American Cup

• The achievement means– Lots and lots money– World class talents– Best technology– Best information technology

The yacht reaches 35 miles per hour• Three times faster than the wind

• Controlling this wickedly sleek sailboat– 250 sensors on the wing, hull, and rudder– Track 4000 variables, ten times a second• 90 million data points per hour

Requires• Powerful data management• Real-time data analysis• Quick decision making• Immediate measurement of the results

– Oracle database 11g data management software– Oracle’s Application Express• To produce graphic presentation• Wirelessly transmit to crew members

– Small mobile handheld computer on wrist

It’s not sailing – It is piloting

2.1 Business processes and Information systems2.2 Types of information systems2.3 Systems for collaboration and teamwork2.4 The information systems function in business

IT Infrastructure and Emerging Technologies

Cost-effective, Efficient,

Energy-savingComputing

• Bay Area Rapid Transit (BART)– Public transit system– San Francisco, Oakland, California

• Goal: Fast, reliable transportation– 346,000 passengers each day– 台北捷運 -- 1,601,655 per day– 高雄捷運 -- 150,000 per day

• Recently, ambitious modernization effort– Overhaul stations– New rail cars– New information technology infrastructure

• Old – Legacy mainframe applications

• New– Oracle’s PeopleSoft Enterprise application– HP Integrity blade servers– Oracle Enterprise Linux operating system– Grid Computing

• Results– Rapid information to support timely decisions– More reliable to support 24/7 operations– Fewer servers• Virtualization• Less energy used

• 5.1 IT Infrastructure• 5.2 Infrastructure Components• 5.3 Contemporary Hardware Platform Trend• 5.4 Contemporary Software Platform Trend• 5.5 Management Issue

Foundations of Business Intelligence

Databases and

accurate, timely and relevant info

• Business growth create information challenges– RR Donnelley• Chicago-based printing services

– Expansion by acquisitions– Revenue jumped• 2.4 billion in 2003• 9.8 billion now

– Each acquired company has its own systems• Own set of customers, vendor, and product data• Data were often

– Inconsistent, duplicated, or incomplete

• For example: Customer– Specific billing location– Legal parent entity of a company

– No enterprise-wide picture of its customers– Doing business with several different units

• Reconcile data– Manual process– Time consuming

• Inefficiencies & costs

– Single authenticated master file• Master Data Management (MDM)• Multiple-step process

– Business process analysis– Data cleansing– Data consolidation and reconciliation– Data migration

• Management is able to easily find out– For a particular customer• What kind of business• How much business

– Top customers– Sales opportunities

Contents

6.1 Traditional file environment6.2 The database approach to data management6.3 Using databases to improve business

performance and decision making6.4 Managing data resources

Ethical & Social Issues

Opportunities of many benefitsSource of abuses

• Direct & indirect care of the aged community– Australian government– Improve quality of life• Feel more in touch

– Internet

• Grocery • Bill payment

• The “smart house” initiative– Passive infrared detectors– Door entry systems– Emergency pendants– Bed and chair sensors

• Privacy issues– Being monitored 24/7– Awareness, consent, ownership, and access of

data• Culture competent– Interface (English only???)

• Feel comfortable with computers– Knowledge and skills

4.1 Understanding ethical and social issues related to systems

4.2 Ethics in a information society4.3 The moral dimensions of information

systems