Business Intelligence


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Business Intelligence

  1. 1. Business Intelligence & Data Warehouse Prepared by Group 4 1. นายนิสิต จรูญภาค 471021001 2. นายภูริพัฒน สุทธิวาณิชกุล 471021003 3. นายรุ่งอนันต์ วันคืนดี 471021021 4. นายอภิชาติ รัตนโรจนากุล 471021031 5. นายปารินทร์ สมสมัย 471021032 Oracle Brio Cognos MS Analysis
  2. 2. Topic <ul><li>Business Intelligence </li></ul><ul><ul><li>What is business intelligence </li></ul></ul><ul><ul><li>Why business intelligence </li></ul></ul><ul><ul><li>Business intelligence tools </li></ul></ul><ul><li>Data Warehouse </li></ul><ul><ul><li>Decision support and OLAP </li></ul></ul><ul><ul><li>What is Data Warehouse </li></ul></ul><ul><ul><li>Data Warehousing Architecture </li></ul></ul><ul><ul><li>OLAP VS OLTP </li></ul></ul><ul><li>Q&A </li></ul>
  3. 3. What is business intelligence <ul><li>Application program and technologies for gathering, storing and analyzing. </li></ul><ul><li>Providing access to data to help enterprise user make better business decision. </li></ul><ul><li>BI application are decision support, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting and data mining. </li></ul>Business Intelligence
  4. 4. Why business intelligence <ul><li>Slowdown economic make IT to demonstrate real ROI (Return on investment) on any investment made in new technology </li></ul><ul><li>An essential idea of business is that data is enhanced into information and then into knowledge. </li></ul><ul><li>Business use BI to gain an advantage in the marketplace by understanding their customer’s needs, customer’s decision-making processes, and economic, cultural, and technological trends. </li></ul><ul><li>Business intelligence involves analyzing not only the customer but the entire industry as a whole. </li></ul>The goal of every business is to be successful by gaining new customers and retaining old customers. A crucial way of achieving this end is through “Business Intelligence.” Business intelligence is also known as simply BI.
  5. 5. Business intelligence Tools <ul><li>Reporting </li></ul><ul><li>Query And Analysis </li></ul><ul><li>Performance Management </li></ul>                                                                    
  6. 6. Data Warehouse <ul><ul><li>Decision support and OLAP </li></ul></ul><ul><ul><li>What is Data Warehouse </li></ul></ul><ul><ul><li>Data Warehousing Architecture </li></ul></ul><ul><ul><li>OLAP VS OLTP </li></ul></ul>
  7. 7. Decision Support and OLAP <ul><li>Information technology to help the knowledge worker (executive, manager, analyst) make faster and better decisions </li></ul><ul><ul><li>What were the sales volumes by region and product category for the last year? </li></ul></ul><ul><ul><li>How did the share price of computer manufacturers correlate with quarterly profits over the past 10 years? </li></ul></ul><ul><ul><li>Which orders should we fill to maximize revenues? </li></ul></ul><ul><ul><li>Will a 10% discount increase sales volume sufficiently? </li></ul></ul><ul><ul><li>Which of two new medications will result in the best outcome: higher recovery rate & shorter hospital stay? </li></ul></ul><ul><li>On-Line Analytical Processing (OLAP) is an element of decision support systems (DSS) </li></ul>
  8. 8. What is Data Warehouse <ul><li>A decision support database that is maintained separately from the organization’s operational databases. </li></ul><ul><li>A data warehouse is a </li></ul><ul><ul><li>subject-oriented, </li></ul></ul><ul><ul><li>integrated, </li></ul></ul><ul><ul><li>time-varying, </li></ul></ul><ul><ul><li>non-volatile </li></ul></ul><ul><li>A collection of data that is used primarily in organizational decision making </li></ul>
  9. 9. Data Warehousing Architecture
  10. 10. OLTP vs. OLAP <ul><li>Clerk, IT Professional </li></ul><ul><li>Day to day operations </li></ul><ul><li>Application-oriented (E-R based) </li></ul><ul><li>Current, Isolated </li></ul><ul><li>Detailed, Flat relational </li></ul><ul><li>Structured, Repetitive </li></ul><ul><li>Short, Simple transaction </li></ul><ul><li>Read/write </li></ul><ul><li>Index/hash on prim. Key </li></ul><ul><li>Tens </li></ul><ul><li>Thousands </li></ul><ul><li>100 MB-GB </li></ul><ul><li>Trans. throughput </li></ul><ul><li>Knowledge worker </li></ul><ul><li>Decision support </li></ul><ul><li>Subject-oriented (Star, snowflake) </li></ul><ul><li>Historical, Consolidated </li></ul><ul><li>Summarized, Multidimensional </li></ul><ul><li>Ad hoc </li></ul><ul><li>Complex query </li></ul><ul><li>Read Mostly </li></ul><ul><li>Lots of Scans </li></ul><ul><li>Millions </li></ul><ul><li>Hundreds </li></ul><ul><li>100GB-TB </li></ul><ul><li>Query throughput, response </li></ul>User Function DB Design Data View Usage Unit of work Access Operations # Records accessed #Users Db size Metric OLTP OLAP
  11. 11. Q & A
  12. 12. THANK YOU