DATAWAREHOUSE DATAWAREHOUSE What? Why? How?What? Why? How?

ContentsContents

What is Datawarehouse ?What is Datawarehouse ? What is Datamart ?What is Datamart ? DSS Environments (Big Picture)DSS Environments (Big Picture) Steps, Problems, CautionsSteps, Problems, Cautions Does it worth to pay (or struggle) that much?Does it worth to pay (or struggle) that much? TURKCELL (now)TURKCELL (now) TURKCELL (future)TURKCELL (future) How to succeed ?How to succeed ?

What is Datawarehouse ?What is Datawarehouse ?

Company Data Company Data Company KnowledgeCompany Knowledge AccurateAccurate ConsistentConsistent IntegratedIntegrated Time variantedTime varianted ClearClear SharableSharable Easy and Standardized AccessEasy and Standardized Access HistoricalHistorical Derived, Aggregated, SummarizedDerived, Aggregated, Summarized Company based, not departmentalCompany based, not departmental

What is Datamart ?What is Datamart ?

Business focused data poolsBusiness focused data pools DepartmentalDepartmental Can be dependent or independent Can be dependent or independent

to/from DWsto/from DWs Has a clear missionHas a clear mission Summarized dataSummarized data Generally has less granularityGenerally has less granularity

Does it worth that much? Does it worth that much?

Data is not understoodData is not understood Users disagree on data definitionsUsers disagree on data definitions Reports are inconsistentReports are inconsistent Users don't trust the reportsUsers don't trust the reports Data is "dirty" Data is "dirty" Data is not shared or shared reluctantlyData is not shared or shared reluctantly Data is not integratedData is not integrated Historical data is not availableHistorical data is not available No View of Company’s Big PictureNo View of Company’s Big Picture Hard or incorrect executive view and reportingHard or incorrect executive view and reporting

How to succeed ?How to succeed ? Ensure political supportEnsure political support Make the right DW data modelingMake the right DW data modeling Ensure user acceptance and productivityEnsure user acceptance and productivity Accelerate your project's return on investmentAccelerate your project's return on investment Be careful on Testing StrategyBe careful on Testing Strategy Translate the data model into a list of written rules and obtain Translate the data model into a list of written rules and obtain

business approvalbusiness approval Size the database on the basis of proven rules and criteriaSize the database on the basis of proven rules and criteria Establish naming standards and enforce themEstablish naming standards and enforce them Define source/target mapping at attribute level during Define source/target mapping at attribute level during

logical/physical data modelinglogical/physical data modeling Train key users in data modeling. Invest time in getting users (IT Train key users in data modeling. Invest time in getting users (IT

users as well as end users) to understand and to users as well as end users) to understand and to ownown the data the data model.model.

Do data modeling with real users not developersDo data modeling with real users not developers

ThanksThanks

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