Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University
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1 Bussiness Intelligence and Data Warehouse
2 Schedule Bussiness Intelligence (BI) BI tools Oracle vs. Microsoft Data warehouse History Tools Oracle vs. Others Discussion
3 Business Intelligence (BI) Products (technologies and applications) used for collecting, analyzing and interpreting data Main goals analyze and report data qualified decisions improve bussiness processes Real-time reports
4 BI Prerequisites Secure computer system Sufficient data capacity Plan for data retention
5 BI tools Data mining Dashboards OLAP (Online Analytical Processing) Reporting software BPM (Bussiness Performance Management) DSS (Decision Support System) Data Warehousing
6 Oracle products Oracle BI Standard Edition (SE) Oracle BI Standard Edition One Oracle BI Suite Enterprise Edition (EE) Plus
7 Oracle BI tools Business Intelligence Server bussiness model and layer of abstraction Business Intelligence Interactive Dashboards accessing content of applications Bussiness Intelligence Answers quering and analyzing tool Bussiness Intelligence Publisher reporting tool
8 Oracle Dashboards
9 Microsoft tools SQL Server 2005 Integration Services extracting and loading tools SQL Server 2005 Reporting Services reporting tools SQL Server 2005 Analysis Services data mining tools SQL Server 2005 Management Studio management tools
10 Microsoft
11 Data Warehouse Main storage of company`s data Material for DSS (Decision Support System) Formally defined by Bill Immon as: Subject-oriented Time-variant Non-volatile Integrated
12 Data Warehouse Progress Off line Operational Databases Off line Data Warehouse Real Time Data Warehouse Integrated Data Warehouse
13 Data Warehouse tools Database Oracle, SQL Server, DB2 OLAP MOLAP (Multidimensional OLAP) ROLAP (Relational OLAP) HOLAP (Hybrid OLAP) ETL (Extract, Transform and Load) Reporting (presentation layer)
14 Data Warehouse vs. Data mart Data Warehouse collects all information from entire enterprise large Data mart smaller focused on specific task may be part of bigger data warehouse
15 Summary of Data Warehouse Access to large amount of data Place for combination of data from different locations Create reports without slowing down operational systems Extracting cost time Active managing is required Problems with compatibility Security problems (web access)
16 Oracle Data Warehousing tools Oracle Warehouse Builder management, transformation, optimization design ETL processes more data sources supported Oracle Data Mining (ODM) optional to Oracle DB 11g Oracle Data Mining JDeveloper and SQL Developer Extensions Oracle OLAP
17 Other products Microsoft SQL Server 2005 Business Intelligence Development Studio IBM DB2 Data Warehouse Edition SAP SAP NetWeaver BI
18 Web pages (references) Oracle Business Intelligence Blog Practical Guide to Data Warehousing in Oracle Bussiness Intelligence diagram Oracle Business Intelligence EE Plus
19 Web pages (references) Data Warehousing use.html
20 Summary Bussiness Intelligence could improve bussiness processes summaries, reports, predictions many available commercial products Data warehousing information gathered from different data source (large size) performing complex queries no effect on performance of operational systems
21 Discussion
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