MIS: Business Intelligence

• 1. Business Intelligence3/28/2013

2. How Large is a Petabyte?= 4 x 3. What is Big Data Volume Transactions Social Media Mobile Phone Web Traffic 4. What is Big Data Volume Variety SQL Databases TXT Log Files Graph Databases Velocity 5. What is Big Data Volume Variety Velocity Rate of Collection Need for Agility 6. Primary BI Systems1. Reporting systems2. Data-mining systems3. KnowledgeManagementSystems4. Expert Systems 7. Reporting Systems Integrate data frommultiple systems. Calculate andsummarize data. Sorting, grouping,summing, averaging,comparing Present data asmeaningful information. 8. Reporting Systems Sybase Infomaker Crystal Reports Microsoft SQL ReportingServices 9. Data Mining Systems Use sophisticatedstatistical techniques,regression analysis,and decision treeanalysis. Discovers hiddenpatterns andrelationships. Can be used as thebasis for predictions. 10. Data Mining Systems MS BusinessIntelligenceDevelopment Studio SAS EnterpriseMiner WEKA 11. Knowledge ManagementSystems Collect and sharehuman knowledge. Best practices Employee training Processdocumentation Collaboration &Communication 12. Knowledge ManagementSystems Sharepoint Server Kwiki, TikiWiki,Twiki, Zwiki Google Docs Google Sites Evernote 13. Expert Systems Uses rules and logic(i.e. IF > THEN) Automates andstandardizesdecision making. Examples: Medical,HR, Finance,Stocks, Games IFTTT 14. BI Comparison Table 15. Business Intelligence Problems Raw data usually unsuitable forsophisticated reporting or datamining Dirty data (misspelled, wrong type,missing, duplication, inconsistent) Multi-dimensionality Wrong granularity (summary vs.detail) 16. Data Warehousing Extract and clean data fromvarious operational systemsand other sources Store and catalog data for BIprocessing Extract, clean, prepare data Stored in data-warehouseDBMS 17. Data Warehousing 18. Data Mart Created to address particular needs Smaller than data warehouse Users may not have data managementexpertise Data extracted from data warehouse for afunctional area 19. BI & MRVMRV could: Develop a plan to organize storage of data and howmanagement might use it; Use a reporting system to provide information abouthow much repeat business each guide generates; Identify high value customers and customer referrals; Analyze equipment inventory usage to guide futureequipment purchases.