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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 2 This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA 3 • 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 4 • 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 5 • 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 6 7 8 9 • 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 10 11 • Table/Entity • Column/Field/Attribute • Row/Record • Key (Primary and Foreign) 12 • Data warehouses • Data marts • Data mining • Artificial Intelligence 13 (Laudon and Laudon, 2009) 14 • 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 15 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 16 (Laudon and Laudon, 2009) 17 • 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? 18