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A small peak into Business Intelligence

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Business Intelligence explained in simple terms.

Published in: Business

A small peak into Business Intelligence

  1. 1. Hello!
  2. 2. Anik Faisal B1405017
  3. 3. M.I.S. PRESENTATION
  4. 4. Business Intelligence Topic
  5. 5. Definition the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes.
  6. 6. which basically means… ways of transforming data into usable business information!
  7. 7. now, data may be hard to find.
  8. 8. He told me unless we get married they won’t leave us alone. So we decided to let things slide a bit. After hours and hours of searching, we couldn't find any food. We know if we didn't eat soon, we will die. So with pure desperation and sadness, we planned on stealing some food from the neighbors. How to came to this conclusion was obvious. We had to find food before we were seen by them.
  9. 9. He told me unless we get married they won’t leave us alone. So we decided to let things slide a bit. After hours and hours of searching, we couldn't find any food. We know if we didn't eat soon, we will die. So with pure desperation and sadness, we planned on stealing some food from the neighbors. How to came to this conclusion was obvious. We had to find food before we were seen by them.
  10. 10. which is exactly what BI(business information) does.
  11. 11. 1 2 3 4 5 what happened? what is happening? why did it happen? what will happen? what do I want to happen? past present future Questions BI is designed to answer5
  12. 12. Example let’s take customer demand for instance
  13. 13. howwerethecustomersdemands? howarethedemandschanging? whyarethedemandschanging? whatwillthe demandsbeinfuture? whatcanidoaboutthechainingdemands?
  14. 14. see?!
  15. 15. all of it can be answered using BI.
  16. 16. Example now for real life examples of BI
  17. 17. Example IBMmodel 1958
  18. 18. BI vision Improving organizations by providing business insights to all employees leading to better, faster, more relevant decisions.
  19. 19. If we divide them according to the level of ‘intelligence usage’, there are 4types of users. BI is used by various level of people.
  20. 20. 1 2 3 4 4the kinds of users Basic users Casual users Super usersFunctional users THEYaREYOUR baSic viEWERS FOR WHOm iNFORmaTiON iS SUmmaRiZED. THEYHavE THE abiliTYTO REFRESH REPORTS aND DO HiGH lEvEl RESEaRcH aND aNalYSiS. THEYHavE THE abiliTYTO DEvElOPTHEiR OWN AD HOc QUERiES aND PERFORm OLAPaNalYSiS. THEYHavE FUll PRivilEGES TO ExPlORE aND aNalYZE THE DaTaWiTH THE BI aPPlicaTiONS.
  21. 21. if we attempt to divide BI into different stages, we would get 5 stages. and they are…
  22. 22. 1 the DATA DEFiNiNG WHicH DaTaWill bE lOaDED iN THE SYSTEmaND aNalYZED. All the information is stored here. Often an OLAP(online analytical processing) type data source. Used for reporting May form base of data warehouse or BI tools
  23. 23. 2 the ETL (extract, transform, load) Engine mOviNG THE SOURcE DaTaTO THE DaTaWaREHOUSE. This can be a complex step involving modifications and calculations on the data itself. If this step doesn’t work properly, the BI solution simply cannot be effective.
  24. 24. 3 Data Warehousing DaTaWaREHOUSiNG iS THE PROcESS OF cONSTRUcTiNG aND USiNG DaTaWaREHOUSES A data warehouse is an analytically oriented, integrated, time-variant, and nonvolatile collection of data that supports decision making processes. Large databases that aggregate data collected from multiple sources.
  25. 25. 4 Analytic Engine aNalYZES mUlTiDimENSiONal DaTa SETS FOUND iN a DaTa WaREHOUSE TO iDENTiFYTRENDS, OUTliERS, aND PaTTERNS Data Mining is the process of extracting patterns from data It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery
  26. 26. 5 Presentation Layer THE DaSHbOaRDS, REPORTS aND alERTS THaT PRESENT FiNDiNGS FROmTHE aNalYSiS. Typically Technology Agnostic Represents all the information
  27. 27. All that information is obviously used for decision making.
  28. 28. and so
  29. 29. the Decision making process
  30. 30. 1 2 3 Strategic Tactical Operational Who makes What decisions Lower management+structured decisions MIDdle management+semi-structured decisions top management+unstructured decisions
  31. 31. that is all!
  32. 32. thank you…

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