the myth of business intelligence - new york oracle user group

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Page 1: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 11

The Myth of BusinessThe Myth of BusinessIntelligenceIntelligence

Rod LeDieuRod LeDieuDirectorDirector

Page 2: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 22

AgendaAgenda

nn Looking at the PastLooking at the Pastnn The ChasmThe Chasmnn Common MythsCommon Mythsnn Filling the VoidFilling the Void

Page 3: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 33

Looking at the PastLooking at the Past

nn Sequential ProcessingSequential Processingnn ‘Flat’ Reports‘Flat’ Reportsnn 6 Months to produce6 Months to producenn Slow to respondSlow to respondnn Out of date beforeOut of date before

implementedimplemented

ReportsReports

Page 4: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 44

Looking at the PastLooking at the Past

nn Personal ComputingPersonal Computingnn Very flexibleVery flexiblenn Time ConsumingTime Consumingnn TediousTediousnn InstantInstant

Page 5: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 55

Looking at the PastLooking at the Past

Decision Support SystemsDecision Support Systems

Reporting SystemsReporting Systems

Page 6: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 66

Looking at the PastLooking at the Past

nn Database EnginesDatabase Enginesnn Classic Express / SASClassic Express / SAS

etc.etc.nn pcExpresspcExpress v1.5 v1.5

released in 1982released in 1982

Page 7: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 77

Looking at the PastLooking at the Past

That was all pre-WindowsThat was all pre-Windows

Page 8: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 88

Looking at the PastLooking at the Past

nn Microsoft WindowsMicrosoft Windowsnn IBM OS/2IBM OS/2

Page 9: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 99

Looking at the PastLooking at the Past

Decision Support SystemsDecision Support Systems

Executive Information SystemsExecutive Information Systems

Page 10: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1010

Looking at the PastLooking at the Past

What were the differences?What were the differences?nn Graphical User Interface – Let’s all imitateGraphical User Interface – Let’s all imitate

the Microsoft Interfacethe Microsoft Interfacenn Supposedly more “Intuitive”Supposedly more “Intuitive”

Page 11: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1111

Looking at the PastLooking at the Past

Nothing much has changed since then!Nothing much has changed since then!

Page 12: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1212

Looking at the PastLooking at the Past

“The query/report writers and spread-sheets“The query/report writers and spread-sheetshave been extremely limited in the wayshave been extremely limited in the waysin which data (having already beenin which data (having already beenretrieved from the DBMS) can beretrieved from the DBMS) can beaggregated, summarized, consolidated,aggregated, summarized, consolidated,summed, viewed, and analyzed.”summed, viewed, and analyzed.”

E.F. E.F. CoddCodd, S.B. , S.B. CoddCodd and C.T. and C.T. SalleySalleyProviding OLAP to User-AnalystsProviding OLAP to User-Analysts

Page 13: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1313

Looking at the PastLooking at the Past

“Most notably lacking has been the ability to“Most notably lacking has been the ability toconsolidate, view, and analyze dataconsolidate, view, and analyze dataaccording to multiple dimensions... calledaccording to multiple dimensions... called‘multidimensional data analysis’”‘multidimensional data analysis’”

E.F. E.F. CoddCodd, S.B. , S.B. CoddCodd and C.T. and C.T. SalleySalleyProviding OLAP to User-AnalystsProviding OLAP to User-Analysts

Page 14: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1414

Looking at the PastLooking at the Past

Business Intelligence is the process ofBusiness Intelligence is the process oftransforming transforming datadata into into informationinformation and and

through discovery transforming thatthrough discovery transforming thatinformation into information into knowledgeknowledge..

Gartner GroupGartner Group

Page 15: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1515

Looking at the PastLooking at the Past

Business Intelligence is the process ofBusiness Intelligence is the process oftransforming data into information andtransforming data into information and

through through discoverydiscovery transforming that transforming thatinformation into knowledge.information into knowledge.

Gartner GroupGartner Group

Page 16: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1616

19991999

PedabytesPedabytes

19911991

TerabytesTerabytes

19871987

GigabytesGigabytes

The ChasmThe Chasm

19831983

MegabytesMegabytes

Page 17: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1717

Common MythsCommon Myths

Page 18: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1818

Relational Databases are Great forRelational Databases are Great forBusiness Intelligence …Business Intelligence …

Optimized forfast transactionalresponse times

Optimized forfast transactionalresponse times

Designed to holdlarge amounts ofdetail level data

Designed to holdlarge amounts ofdetail level data

Designed tohandle a large

number of users

Designed tohandle a large

number of users

Un-natural datastorage for end

users

Un-natural datastorage for end

users

Page 19: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 1919

Cubes R Us …Cubes R Us …

Optimized forfast slice, dice

and pivot

Optimized forfast slice, dice

and pivot

Provides fullyflexible end user

functionality

Provides fullyflexible end user

functionality

Natural “view” ofthe data in the

eyes of endusers

Natural “view” ofthe data in the

eyes of endusers

Language allowsability to modelcomplete cubes

Language allowsability to modelcomplete cubes

Page 20: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2020

Executives want to be able toExecutives want to be able torotaterotate their reports … their reports …

ReportsReports

“I just want thesystem to makemy job easier”

“I just want thesystem to makemy job easier”

“Can’t this thing tellme what I want toknow without me

having to dig for it?”

“Can’t this thing tellme what I want toknow without me

having to dig for it?”

Page 21: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2121

Executives want to be able to buildExecutives want to be able to buildtheir own reports …their own reports …

ReportsReports

“What do I payconsultants and

my ITdepartment for?”

“What do I payconsultants and

my ITdepartment for?”

“I havetechnofobia, I

really can’thandle this!”

“I havetechnofobia, I

really can’thandle this!”

Page 22: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2222

Executives need to be able to drillExecutives need to be able to drillto the lowest level of detail …to the lowest level of detail …

“I don’t trust thepeople beneathme to do theirjob properly”

“I don’t trust thepeople beneathme to do theirjob properly”

“I like havingaccess to all thedata that I wasfamiliar with…”

“I like havingaccess to all thedata that I wasfamiliar with…”

“I’m a hands onkind of manager

– I need theinformation”

“I’m a hands onkind of manager

– I need theinformation”

Page 23: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2323

??

??What is the

sequence to therules?

What are thebusiness

questions thatneed to beanswered?

The Business Rule ModelThe Business Rule Model

Can we build

DB structures to

hold the rules?

Whatparametersdrive the rulesandprocesses?

Page 24: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2424

Change the way we buildChange the way we build

nn The Analysis phase must change to reflectThe Analysis phase must change to reflectthe fact that we are going to build athe fact that we are going to build asystem using the Business Rules Model.system using the Business Rules Model.

nn The Database Design will change to reflectThe Database Design will change to reflectthe new model.the new model.

nn The Menu navigation must change toThe Menu navigation must change toreflect the new model.reflect the new model.

Page 25: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2525

Change the Analysis PhaseChange the Analysis Phase

nn Identify key users and groups.Identify key users and groups.nn Walk through the Analysis Walk through the Analysis processprocess that that

each of the users and groups workseach of the users and groups worksthrough.through.

nn Examine current reports, identifyExamine current reports, identifyparameters that cause them to highlightparameters that cause them to highlightparticular figures.particular figures.

Page 26: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2626

Change the Analysis PhaseChange the Analysis Phase

nn Build the Business Rule Model.Build the Business Rule Model.nn Conceptualize the models that will beConceptualize the models that will be

needed to support the Business Ruleneeded to support the Business RuleModel.Model.

nn Determine the inter-relationship betweenDetermine the inter-relationship betweenthe Rules.the Rules.

Page 27: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2727

Change the Database DesignChange the Database Design

nn Build User-based structures that holdBuild User-based structures that holdhistory and favorites etc.history and favorites etc.

nn High level aggregate objects (Tables /High level aggregate objects (Tables /Measures) that provide fast access toMeasures) that provide fast access tosummary level data.summary level data.

nn Key measures based on high levelKey measures based on high levelenquiries by users.enquiries by users.

Page 28: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2828

Change the Database DesignChange the Database Design

nn Question the “coolness” of designs withQuestion the “coolness” of designs withthe “So What?” question.the “So What?” question.

nn Design to make use of usage trackingDesign to make use of usage trackinginformation.information.

Page 29: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 2929

Change the Menu styleChange the Menu style

nn Ditch traditional Menus.Ditch traditional Menus.nn Menus should be structured along theMenus should be structured along the

Business Rules time line.Business Rules time line.nn The interface should mould itself to theThe interface should mould itself to the

end-user.end-user.

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The Myth of Business IntelligenceThe Myth of Business Intelligence 3030

Change the Menu styleChange the Menu style

nn The Logic of the Interface should matchThe Logic of the Interface should matchthe Business the Business ProcessProcess..

nn The Links between the interface and theThe Links between the interface and themodels should be seamless.models should be seamless.

nn Each user must be able to reset theEach user must be able to reset theparameters for any Business Rule Model.parameters for any Business Rule Model.

Page 31: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 3131

Traditional MenusTraditional Menus

nn Standard ReportsStandard Reportsnn ForecastsForecastsnn BudgetBudgetnn GrowthGrowthnn RankingRanking

nn ReviewReviewnn QuotaQuotann ExceptionsExceptionsnn TrendTrendnn ……

Page 32: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 3232

Traditional MenusTraditional Menus

Page 33: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 3333

Newspaper Style MenuNewspaper Style Menu

nn Today’s HeadlinesToday’s Headlinesnn Stories in detailStories in detailnn Departmental InformationDepartmental Information

Page 34: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 3434

Example MenuExample Menu

News in ShortNews in Shortnn Increase in productsIncrease in products

that have failed tothat have failed toperformperform

nn Key PerformanceKey Performanceproblemsproblems

nn HighlightsHighlights

Today’s Top StoriesToday’s Top Storiesnn Today’s Sales FiguresToday’s Sales Figuresnn Financial PositionFinancial Positionnn Budget ProcessBudget Process

nn Key DatesKey Datesnn InformationInformation

Page 35: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 3535

Example Menu and InterfaceExample Menu and Interface

Page 36: The Myth of Business Intelligence - New York Oracle User Group

The Myth of Business IntelligenceThe Myth of Business Intelligence 3636

BibliographyBibliographyDetailsDate D/M/Y

March DSS DW User Group 9i.pptMarch DSS DW User Group 9i.ppt21/06/0121/06/01

OLAP Services Developer's Guide to the Oracle OLAP APIOLAP Services Developer's Guide to the Oracle OLAP APIa88756.pdfa88756.pdf

05/06/0105/06/01

OLAP Services Developer's Guide to the OLAP DML a86720.pdfOLAP Services Developer's Guide to the OLAP DML a86720.pdf05/06/0105/06/01

OLAP Services Concepts and Administration Guide a88755.pdfOLAP Services Concepts and Administration Guide a88755.pdf05/06/0105/06/01

9i 9i presentation.pptpresentation.ppt15/12/0015/12/00

concepts and admin 9i.pdfconcepts and admin 9i.pdf13/12/0013/12/00

developers guide to developers guide to olapolap API.pdfAPI.pdf13/12/0013/12/00

Statement of direction 9i.pdfStatement of direction 9i.pdf13/12/0013/12/00