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Dobrodošli

Borko Kovačević, Business Group Lead
borkok@microsoft.com
BI
O čemu pričamo?

• Business Intelligence je top prioritet IT menadžera u 2009

• Razumevanje Business Intelligence-a zahteva dobro
  razumevanje nekoliko kjučnih elemenata i pregled
  “kompletne slike”

• Ova prezentacija daje osnovu i prikazuje široku
  perspektivu Microsoft BI rešenja




                                                               3
Fundamentalni Koncepti



                         4
Microsoft BI alati?




                      5
Ostrva podataka
                        Call Center


         CRM                                  Web Aplikacije




      Finansije                                  Magacin

                       Data Warehouse



                  Kadrovska             ERP




                                                               6
BI & PM in an Enterprise
6: BI omogućuje may data required for analyzing and reporting
2: Datadataareascan be to be to the populated frompoboljšanja poslovanja
9:
8:
7:      sources primenu procesadata warehousedata sources
            warehouse manages kontinuiranog population
5: Manual use accesstoolssources the data reduce data
4: Stagingmayvarioussimplify
3: The warehouse ismay data querydirectlyto warehouse
1: Clients needaccessperiodicallydata to cleanse dirty contention
           cleansing   mirrored/replicated

Izvori podataka                          Data Warehouse

                                           Data Marts

                  Staging Baza




                                                              Client
                                                              Access

                     Ručno                                       Pristup
                    čišćenje                                    korisnika

                                                                            7
Integrated BI Platform




                         8
The Microsoft BI Platform


         Integrate   Store




         Analyze     Report




                              9
Data Mining – Rudarenje

• Pronalaženje (veoma) skrivenih paterna i pravila u šumi
  (brdu) podataka
• Mehanizam pretraživanja i uočavanja korelacija
• Kombinacija statistike, analize verovatnoće, tehnologije
  za rad sa bazama podataka, konačnih automata, i
  veštačke inteligencije (neuronske mreže)




                                                             10
Data Mining




DEMO
www.sqldatamining.com

                        11
Cube (UDM)
Unified Dimensional Model
• Kombinacija metrika (činjenica) i dimenzija/pogleda u
  jedan konceptualni model
• Sofisticirani model podataka obogaćen:
   •   Kalkulacijama
   •   Ključnim indikatorima performansi (KPIs)
   •   Aktivnostima
   •   Perspektivama
   •   Particijama
• Formalno, kocka se naziva UMP (Unificirani Model
  Podataka)



                                                          12
Pretraživanje jednostavne kocke smo
                          Koliku prodaju
                                                      očekivali u Severnoj
                                                      Americi u prvom
                                                      kvartalu 2004. god.?




                             5,005,000
        Q1


        Q2
                                                     N/A
        Q3                                      Pacific




                                                                       ry
                                                                     to
                                                                 rri
                                            Europe




                                                               Te
                                                               s
                                                             le
        Q4                               North America




                                                           Sa
             Measures Dimension
                                                                             13
Dashboards and Scorecards

• Scorecard
  • Tabele (nalik pivotu) sačinjene od KPI-jeva
• Dashboard
  • Sastoji se od Score kartica, izveštaja, i drugih vizuelnih
    prikaza analitike




                                                                 14
Vizualizacija
Performance Point Services for Sharepoint       Sharepoint
                                                Scorecard
                                               podataka u
                                            zadatom kontekstu




                                                            15
Želite moćne BI alate?
• Treba vam dobro dizajniran Data Warehouse!!!

• Želite brzo BI aplikacije sa mogućnošću korišćenja od
  strane krajnjih korisnika?
• Pripremite najbolji mogući dizajn neophodnih dimenzija:
   • Lako će ga razumeti analitičari i korisnici sistema
   • Biće fleksibilan
   • Biće precizan i usklađen sa potrebama


• Razmotrite rešenje koje vam obezbeđuje fleksibilnu i
  kompletnu BI platformu – nemojte se zaključati u
  robusne, inertne i skupe sisteme koji ograničavaju vaš IT
  i vaše korisnike.
                                                              16
Thank You!




             17

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Microsoft BI

  • 1. Dobrodošli Borko Kovačević, Business Group Lead borkok@microsoft.com
  • 2. BI
  • 3. O čemu pričamo? • Business Intelligence je top prioritet IT menadžera u 2009 • Razumevanje Business Intelligence-a zahteva dobro razumevanje nekoliko kjučnih elemenata i pregled “kompletne slike” • Ova prezentacija daje osnovu i prikazuje široku perspektivu Microsoft BI rešenja 3
  • 6. Ostrva podataka Call Center CRM Web Aplikacije Finansije Magacin Data Warehouse Kadrovska ERP 6
  • 7. BI & PM in an Enterprise 6: BI omogućuje may data required for analyzing and reporting 2: Datadataareascan be to be to the populated frompoboljšanja poslovanja 9: 8: 7: sources primenu procesadata warehousedata sources warehouse manages kontinuiranog population 5: Manual use accesstoolssources the data reduce data 4: Stagingmayvarioussimplify 3: The warehouse ismay data querydirectlyto warehouse 1: Clients needaccessperiodicallydata to cleanse dirty contention cleansing mirrored/replicated Izvori podataka Data Warehouse Data Marts Staging Baza Client Access Ručno Pristup čišćenje korisnika 7
  • 9. The Microsoft BI Platform Integrate Store Analyze Report 9
  • 10. Data Mining – Rudarenje • Pronalaženje (veoma) skrivenih paterna i pravila u šumi (brdu) podataka • Mehanizam pretraživanja i uočavanja korelacija • Kombinacija statistike, analize verovatnoće, tehnologije za rad sa bazama podataka, konačnih automata, i veštačke inteligencije (neuronske mreže) 10
  • 12. Cube (UDM) Unified Dimensional Model • Kombinacija metrika (činjenica) i dimenzija/pogleda u jedan konceptualni model • Sofisticirani model podataka obogaćen: • Kalkulacijama • Ključnim indikatorima performansi (KPIs) • Aktivnostima • Perspektivama • Particijama • Formalno, kocka se naziva UMP (Unificirani Model Podataka) 12
  • 13. Pretraživanje jednostavne kocke smo Koliku prodaju očekivali u Severnoj Americi u prvom kvartalu 2004. god.? 5,005,000 Q1 Q2 N/A Q3 Pacific ry to rri Europe Te s le Q4 North America Sa Measures Dimension 13
  • 14. Dashboards and Scorecards • Scorecard • Tabele (nalik pivotu) sačinjene od KPI-jeva • Dashboard • Sastoji se od Score kartica, izveštaja, i drugih vizuelnih prikaza analitike 14
  • 15. Vizualizacija Performance Point Services for Sharepoint Sharepoint Scorecard podataka u zadatom kontekstu 15
  • 16. Želite moćne BI alate? • Treba vam dobro dizajniran Data Warehouse!!! • Želite brzo BI aplikacije sa mogućnošću korišćenja od strane krajnjih korisnika? • Pripremite najbolji mogući dizajn neophodnih dimenzija: • Lako će ga razumeti analitičari i korisnici sistema • Biće fleksibilan • Biće precizan i usklađen sa potrebama • Razmotrite rešenje koje vam obezbeđuje fleksibilnu i kompletnu BI platformu – nemojte se zaključati u robusne, inertne i skupe sisteme koji ograničavaju vaš IT i vaše korisnike. 16