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MIS: Business Intelligence


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MIS: Business Intelligence

  1. 1. Business Intelligence3/28/2013
  2. 2. How Large is a Petabyte?= 4 x
  3. 3. What is “Big Data”• Volume– Transactions– Social Media– Mobile Phone– Web Traffic
  4. 4. What is “Big Data”• Volume• Variety– SQL Databases– TXT Log Files– Graph Databases• Velocity
  5. 5. What is “Big Data”• Volume• Variety• Velocity– Rate of Collection– Need for Agility
  6. 6. Primary BI Systems1. Reporting systems2. Data-mining systems3. KnowledgeManagementSystems4. Expert Systems
  7. 7. Reporting Systems• Integrate data frommultiple systems.• Calculate andsummarize data.• Sorting, grouping,summing, averaging,comparing• Present data asmeaningful information.
  8. 8. Reporting Systems• Sybase Infomaker• Crystal Reports• Microsoft SQL ReportingServices
  9. 9. Data Mining Systems• Use sophisticatedstatistical techniques,regression analysis,and decision treeanalysis.• Discovers hiddenpatterns andrelationships.• Can be used as thebasis for predictions.
  10. 10. Data Mining Systems• MS BusinessIntelligenceDevelopment Studio• SAS EnterpriseMiner• WEKA
  11. 11. Knowledge ManagementSystems• Collect and sharehuman knowledge.• Best practices• Employee training• Processdocumentation• Collaboration &Communication
  12. 12. Knowledge ManagementSystems• Sharepoint Server• Kwiki, TikiWiki,Twiki, Zwiki• Google Docs• Google Sites• Evernote
  13. 13. Expert Systems• Uses rules and logic(i.e. IF > THEN)• Automates andstandardizesdecision making.• Examples: Medical,HR, Finance,Stocks, Games• IFTTT
  14. 14. BI Comparison Table
  15. 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. 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. 17. Data Warehousing
  18. 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. 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.