Business Intelligence represents a fundamental shift in the purpose, objective and use of information

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1 Overview f BI and rle f DW in BI Business Intelligence & Why is it ppular? Business Intelligence Steps Business Intelligence Cycle Example Scenaris State f Business Intelligence Business Intelligence Tls Rle f Data Warehuse in BI Characteristics f data in DW Demand Oriented Questins What is the effectiveness f varius gvernment prgrams? What is the cst effectiveness f varius prgrams? What is the breakdwn f the client base by prgram, service, demgraphic makeup? What is the adherence f the prgrams t state wise with respect t regulatins? What are the administrative csts f running district, state, and regin based prgrams? s n The slide shws the Gartner reprt. If yu carefully view the graph shwn n the slide, much f the data t answer these questins exists and mre is available but there is a grwing gap present in the ability f rganizatins t analyze it. Challenges t accessing data in answering questins Multiple surces f data and reprting systems Difficulty in lcating and addressing infrmatin Unreliable infrmatin Pressures t lwer csts and imprve services Infrmatin requests take days r weeks t fulfill Re-keyed data ensuring errrs creep int results The techniques f BI are useful t answer these questins. Business intelligence invlves the gathering, management, and analysis f data fr the purpse f turning that data int useful infrmatin which is then used t imprve decisin making. Organizatins can then make mre strategic decisins abut hw t administer clients and prgrams. These practices can als reduce perating csts thrugh mre effective financial analysis, risk management, and fraud management Business Intelligence represents a fundamental shift in the purpse, bjective and use f infrmatin Business Intelligence Slutins are... "... slutins which enable an end-user t quickly and easily analyze rganizatinal data t make intelligent decisins..." "... systems that put infrmatin in the hands f end-users..." "...the cmbinatin f data warehuse and end-user data access and analysis tls..."

2 "...an investment in infrmatin technlgy that can assist gvernments in managing limited fiscal resurces..." Relatively new term but the it is synnymus with a range f applicatins that have been arund fr years. That means BI is nthing but An umbrella term that cmbines architectures, tls, databases, applicatins, and methdlgies by building a system which basically assist the rganizatins t make mre infrmed and faster decisins. Business Intelligence Business Intelligence is the prcess f transfrming data int infrmatin and thrugh discvery transfrming that infrmatin int knwledge - Gartner Grup It is the cnversin f data int infrmatin in such a way that the business is able t analyse the infrmatin t gain insight and take actin Smetimes used synnymusly with the infrmatin available in an enterprise fr making strategic decisins Business Intelligence is a discipline f develping infrmatin that is cnclusive, factbased and actinable. Why Business Intelligence Ppular? Business Intelligence gives cmpanies ability t discver and utilize infrmatin they already wn, and turn it int the knwledge that directly impacts crprate perfrmance Tactical Descriptin: Trends, patterns, clustering, planning, cause & effect Why? Hw? When? What? Decisin-making supprt Reprting and QA Frecasting Human-sized reprts BI Questins What happened? What were ur ttal sales this mnth? What s happening? Are ur sales ging up r dwn, trend analysis Why? Why have sales gne dwn? What will happen? Frecasting & What If Analysis What d I want t happen? Planning & Targets Where is Business Intelligence applied?

3 Operatinal Efficiency ERP Reprting KPI Tracking Prduct Prfitability Risk Management Balanced Screcard Activity Based Csting Glbal Surcing Lgistics Custmer Interactin Sales Analysis Sales Frecasting Segmentatin Crss-selling CRM Analytics Campaign Planning Custmer Prfitability The architecture f BI cnsists f three cmpnents. They are Data Warehuse, Business Analytics and Perfrmance management. In this curse we are discussing nly data warehuse cmpnent nly. Data Warehusing Need fr Data Warehusing Integrated, cmpany-wide view f high-quality infrmatin. Separatin f peratinal and analytical systems and data. Data Warehuse A fundatin f a cmprehensive business intelligence system Business Intelligence Sftware Integratin f OLAP multi-dimensinal technlgy Relatinal database technlgy Web technlgy Scalability fr warehusing Flexibility, perfrmance and business views Web deplyment Business Intelligence Tls Sftware that enables business users t see and use (analyze) large amunts f cmplex data. Database Related Data Strage Sftware (DBMS) Query and Reprting Tls

4 Data Warehusing Related Data Warehuse/ Data Mart Creatin Tls OLAP Tls Data Mining Related Data Mining Tls Other Special Purpse Tls And with these types f applicatin areas, cupled with the adhc, flexible nature f BI, having clear sight f yur business gals is very imprtant. Althugh the technlgy integrates data surces the ld prblems still exist with data quality & cmplexity Types f Infrmatin used in BI? What types f infrmatin des BI cnsider? Custmer infrmatin Cmpetitrs Business partners Ecnmic Envirnmental Internal peratins This infrmatin is used t make effective and gd quality business decisins Business Intelligence Data Business Intelligence is the prcess f transfrming data int infrmatin and thrugh discvery transfrming that infrmatin int knwledge - Gartner Grup It is the cnversin f data int infrmatin in such a way that the business is able t analyse the infrmatin t gain insight and take actin Smetimes used synnymusly with the infrmatin available in an enterprise fr making strategic decisins Business Intelligence is a discipline f develping infrmatin that is cnclusive, factbased and actinable. Knwn facts that can be recrded and stred n cmputer media (raw facts). Infrmatin Data prcessed int a frm that has a meaning and is useful. Knwledge Knwledge is based n infrmatin and it implies respnsibility and cmmitment t a decisin.

5 Decisin Ignites actin based n knwledge. At ne side due t rapid develpment f technlgies, data is grwing at rapid rate and at the same time users are expecting a sphisticated infrmatin. The slutin is t uncver the hidden infrmatin. Characteristics f data in DW DW can be viewed as an infrmatinal system with the fllwing attributes It is a database designed fr analytical tasks using data frm multiple applicatins. Supprts small n. f users with lng interactins. Usage is read-intensive. Cntent is peridically updated (mstly additins) Cntains a few large tables Benefits f DW Access t a wide variety f data Results can be presented in a variety f frmats (reprts, graphs) Enhances the value f peratinal business applns. Cst f prduct intrductin cmes dwn with target marketing campaigns. Better decisins at lw cst. Clear picture n asset and liability mgmt, enterprise wide purchasing and inventry patterns. Maintain gd relatins with custmers by knwing their requirements. Limitatins f DW DW cllects and reprt data that already exists. If an rganizatin wishes t analyze the custmers by zip cde but addresses are nt captured then it is nt pssible. Risks f DW Prject team structure and cmpsitin r t the culture f the enterprise Technlgical: these risks relate t the planning, selectin and use f warehusing technlgies. Pr scalability f architectures, insufficient skills f implementers.