Arquitetura de Business Intelligence

Pós-Graduação em Business Intelligence
8 ECTS; 1º Ano, Anual, 20,0 T + 12,0 PL + 20,0 TP + 4,0 S + 32,0 OT + 10,0 O

Lecturer

Prerequisites

Objectives
The student should know application of IR(1); know what is cloud computing(2);know how to use Web Analytic tools(3);know how to use Competitive Intelligence tools(4);know how to use BI in the organizational context(5); realize the evolution of relational data models for dimensional data models (6).

Program
1. Introduction to Information Retrieval and Search Engines;
2. Cloud Computing;
3. Web Analytics;
4. Competitive Intelligence;
5. Business Intelligence on Social Networks;
6. Components of a BI System;
7. Relational data model and multidimensional data model;
8. SQL - Structured Query Language;
9. BI tools.

Evaluation Methodology
Periodic evaluation: Project I (40%) + Project II (30%) + Project III (30%)

Bibliography
- Beasley, M. (2013). Practical Web Analytics for User Experience: How Analytics Can Help You Understand Your Users. Waltham: Morgan Kaufmann
- Burke, C. (2014). Competitive Intelligence the Internet Way. s.l.: SB2 Group
- Erl, T. e Puttini, R. e Mahmood,, Z. (2013). Cloud Computing: Concepts, Technology & Architecture. s.l.: Prentice Hall
- Croft, B. e Metzler, D. e Strohman, T. (0). Search Engines: Information Retrieval in Practice.Acedido em11 de janeiro de 2016 em http://ciir.cs.umass.edu/irbook/

Method of interaction
Lectures and laboratory classes.

Software used in class