Download Information Systems: A Manager*s Guide to Harnessing Technology

CIS 2200
Kannan Mohan
Department of CIS
Zicklin School of Business, Baruch College
• Articulate the role of business intelligence in
organizations
• Describe the process of developing databases
• Describe basic terminologies in database management
• Develop an Entity-Relationship diagram
• Explain the use of Data warehouses, Data mining, and
Artificial Intelligence in helping business decision
making
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• Reporting, data exploration, ad-hoc queries,
sophisticated data modeling and analysis
• Analytics
• Extensive use of data, statistical and quantitative analysis,
explanatory and predictive models, and fact-based
management to drive decisions and actions
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• Data: Raw facts and figures
• Information: Data presented in a context so that it can
answer a question or support decision making
• Knowledge: Insight derived from experience and
expertise
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• Database: A single table or a collection of related tables
• Database management systems (DBMS): Software for
creating, maintaining, and manipulating data (Eg. MS
Access, MS SQL Server, MySQL)
• Structured query language (SQL): A language used to
create and manipulate databases
• Database administrator (DBA): Job title focused on
directing, performing, or overseeing activities
associated with a database or set of databases
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• One Supplier provides One to many Parts
• One Part is supplied by One and only One Supplier
• One Part is ordered by One to many Line Items
• One Line Item contains One and only One Part
• One Line Item belongs to One and only One Order
• One Order includes One to many Line Items
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• Table/Entity
• Column/Field/Attribute
• Row/Record
• Key (Primary and Foreign)
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• Data warehouses
• Data marts
• Data mining
• Artificial Intelligence
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(Laudon and Laudon, 2009)
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• Identifying hidden patterns in large datasets
• Areas of application:
• Customer segmentation
• Customer churn
• Marketing and promotion
targeting
• Fraud detection
• Market basket analysis
• Hiring and promotion
• Financial modeling
• Collaborative filtering
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Examines data and hunts down and
exposes patterns, in order to build models to exploit findings
Leverages rules or examples to perform a
task in a way that mimics applied human expertise
Model building techniques;
• Where computers examine many potential solutions to a
problem, iteratively modifying various mathematical models,
and comparing the mutated models to search for a best
alternative
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(Laudon and Laudon, 2009)
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• What is business intelligence?
• How do we organize data in databases?
• What is the role of data warehousing, data mining, and
artificial intelligence in business decision making?
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