'Analytical processing' diaporamas de présentation

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Decision Support Systems

8. Decision Support Systems. 8. Learning Objectives. Identify the changes taking place in the form and use of decision support in e-business enterprises. Identify the role and reporting alternatives of management information systems. 8. Learning Objectives (continued).

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Business Systems Intelligence: 2. Data Warehousing I

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Management Information Systems, 10/e

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Management Support Systems 1 2011/12

Management Support Systems 1 2011/12. Ing. Karel Mls, Ph.D . Efraim Turban and J ay E. Aronson : Decision Support Systems and Intelligent Systems 6th edition Prentice Hall, Upper Saddle River, NJ, 2001. CHAPTER 1. Management Support Systems.

671 views • 46 slides

Chapter 11

Chapter 11. Data Management: Warehousing, Analyzing, Mining & Vizualization. Learning Objectives. Recognize the importance of data, their managerial issues, and their life cycle. Describe the sources of data, their collection, and quality issues.

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Data Resource Management

3. Data Resource Management. Learning Objectives. 3. Explain the importance of implementing data resource management processes and technologies in an organization. Understand the advantages of a database management approach to managing the data resources of a business.

610 views • 44 slides

Data Resource Management

3. Data Resource Management. Learning Objectives. 3. Explain the importance of implementing data resource management processes and technologies in an organization. Understand the advantages of a database management approach to managing the data resources of a business.

793 views • 43 slides

Chapter 11: Business Intelligence and Knowledge Management

Management Information Systems, Sixth Edition. Chapter 11: Business Intelligence and Knowledge Management. Objectives. Explain the concepts of data mining and online analytical processing Explain the notion of business intelligence and its benefits to organizations

870 views • 41 slides

Chapter 11

Chapter 11. Data Management: Warehousing, Analyzing, Mining, and Visualization. Information Technology For Management 4 th Edition Turban, McLean, Wetherbe John Wiley & Sons, Inc. Chapter Objectives. Recognize the importance of data, their managerial issues, and their life cycle.

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Chapter 09

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Databases and Warehouses

Databases and Warehouses. Building Business Intelligence. To make _______ and _______ decisions and work in the most productive and efficient way, knowledge workers today need (1) access to information and (2) tools to work with that information. Business Intelligence. What is it?

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Data Mining: An Introductory Overview

KI2 - 6. Data Mining: An Introductory Overview. Jiawei Han and Micheline Kamber Intelligent Database Systems Research Lab School of Computing Science Simon Fraser University, Canada http://www.cs.sfu.ca. modified by Marius Bulacu. Kunstmatige Intelligentie / RuG. Overview.

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COMP 3503 Deductive Modeling with OLAP

COMP 3503 Deductive Modeling with OLAP. with Daniel L. Silver. Agenda. What is OLAP? OLAP, MOLAP and ROLAP OLAP Functionality Overview of IBM Cognos Insight OLAP Pros and Cons. What is OLAP?. On-Line Analytical Processing. OLAP

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Data Warehousing

Data Warehousing. DSCI 4103 Dr. Mennecke. Introduction and Chapter 1. Introduction:. Definitions Legacy Systems Dimensions Data Dependencies Model Dimensional Model. Ship Type. Shipper. Ship To. Product. District Credit. Order Item. ContactLocat. Product Line. Sales Order.

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Business Driven Information Systems 2e

Business Driven Information Systems 2e. CHAPTER 2 STRATEGIC DECISION MAKING. SECTION 2.1. DECISION-MAKING SYSTEMS. DECISION MAKING. People must: Analyze large amounts of information Make decisions quickly Apply sophisticated analysis techniques Systems support these activities.

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Data Warehouses and Data Cubes

Data Warehouses and Data Cubes. Han Textbook Chapter2 Will not say much about data warehouses but will give a brief introduction to the multi-dimensional data model and data cubes in this lecture.

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Heterogeneous Data Sources and Their Integration Leveraging Oracle BI Apps / OBIEE

Heterogeneous Data Sources and Their Integration Leveraging Oracle BI Apps / OBIEE. Vinay Dhingra BI Practice Manager, Apps Associates Date: 24-09-2011. Agenda. Introduction Challenges faced in Successful Implementation of BI BI Products Levels of Maturity

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MIS2502: Data Analytics The Things You Can Do With Data

MIS2502: Data Analytics The Things You Can Do With Data. Why Business Intelligence?. Source: http ://advice.cio.com/thomas_wailgum/to_hell_with_business_intelligence_40_percent_of_execs_trust_gut. It all starts with data. Almost every business action requires at least one of these!.

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Data Warehouse Toolkit

Data Warehouse Toolkit. Introduction. Data Warehouse.

684 views • 10 slides