MGT 300 - CHAPTER 8

CHAPTER 8 👉 ACCESSING ORGANIZATIONAL INFORMATION (DATA WAREHOUSE)

                                              WHAT IS DATA WAREHOUSE ?

                   👾 A logical collection of information 

                        

                   👾 Gathered from many different operational databases 

                       

                   👾 That supports business analysis activities and decision-making tasks.

           

                   👾 The primary purpose of a data warehouse is to combined information throughout an                              organization into a single repository for decision-making purposes.

                   👾 Data warehouse support only analytical processing.

                        

                                                 DATA WAREHOUSE MODEL

               😆 Extraction, transformation and loading (ETL) ↬ A process that extracts information                                                                                                          from internal and external databases,                                                                                                        transforms the information using a                                                                                                            common set of enterprise definitions                                                                                                        and loads the information into a data                                                                                                        warehouse.

              😆 Data warehouse then send subsets of the information to data mart.

              😆 Data mart contains a subsets of data warehouse information.

                                             

         

MULTIDIMENSIONAL ANALYSIS AND DATA MINING

Relational Database contain information in a series of two-dimensional tables

   

                 In a data warehouse and data mart, information is multidimensional,

             it contains layers of columns and rows.

       🔼Dimension ⇝ A particular attribute of information.

CUBE

😀 Common term for the representation of multidimensional information.

  

                    😀 Once a cube information is created, users can begin to slice and dice the cube to drill down into the information.

               😀 Users can analyze information in a number of different ways and with number of different dimensions.

DATA MINING

💦 The process of analyzing data to extract information not offered by the raw data alone.

              💦 Also known as "knowledge discovery" ➙ computer-assisted tools and techniques for                      sifting through and analyzing vast data stores in order to find trends, patterns and correlations that can guide decision making and increase understanding.

💦 To perform data mining users need data-mining tools

                                              🔼Data-mining tool ➥ Uses a variety of techniques to find patterns can                                                                                       use knowledge of these patterns to improve the                                                                                        placement of items in the layout of a mail-order                                                     catalog page or Web page.

INFORMATION CLEANSING OR SCRUBBING

💞 An organization must maintain high-quality data in the data warehouse.

💞 A process that weeds out and fixes or discards inconsistent, incorrect or incomplete information.

💞 Occur during ETL process and second on the information once if is in the data warehouse.

Contact information in an operational system

       Standardizing Customer name from Operational Systems

Information cleansing activities

Accurate and complete information

BUSINESS INTELLIGENCE

                  👀 Refers to applications and technologies that are used to gather, provide access, 

                analyze data and information to support decision making effort.

           👀 These systems will illustrate business intelligence in the areas of customer profiling,                                 customer support, market research, market segmentation, product profitability, statistical analysis and inventory and distribution analysis to name a few.

👀 Example : Excel & Access

THE END😄