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Successfully Leveraging Successfully Leveraging Information into a Information into a
Specific ActionSpecific ActionPeter McCallumPeter McCallum
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learning from that ResearchKey Learning from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Plan Optimisation application for a TelcoPlan Optimisation application for a Telco Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline
SummarySummary
IntroductionIntroduction Who am I?Who am I?
18 years experience in the IT industry18 years experience in the IT industry First 8 years in bespoke software First 8 years in bespoke software
developmentdevelopment ““Discovered” Business Intelligence in 1998Discovered” Business Intelligence in 1998 Spent the last 10 years working exclusively Spent the last 10 years working exclusively
in BI & data warehousingin BI & data warehousing
Introduction (cont’d)Introduction (cont’d) Why Business Intelligence?Why Business Intelligence?
BI is one area of IT where real business BI is one area of IT where real business value can be deliveredvalue can be delivered
……. But not always. But not always A particularly challenging project made me A particularly challenging project made me
ask “Why do some BI initiatives deliver far ask “Why do some BI initiatives deliver far more benefit that others?”more benefit that others?”
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learning from that ResearchKey Learning from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline Segmented call routing in a TelcoSegmented call routing in a Telco
SummarySummary
DW Benefit RealisationDW Benefit Realisation Back to schoolBack to school
Enrolled in MCOMEnrolled in MCOM Bright Futures Enterprise ScholarshipBright Futures Enterprise Scholarship
Thesis on DW Benefit RealisationThesis on DW Benefit Realisation Qualitative approachQualitative approach Exploratory studyExploratory study Sample of organisations that had recently Sample of organisations that had recently
implemented a DWimplemented a DW Interviewed Business owners and IT Interviewed Business owners and IT
representativesrepresentatives Data analysed using Grounded TheoryData analysed using Grounded Theory
DW Benefit RealisationDW Benefit Realisation The benefits realised by each of the The benefits realised by each of the
organisations varied hugelyorganisations varied hugely One organisation recouped their entire One organisation recouped their entire
investment in just 2 months of operationinvestment in just 2 months of operation Whereas another organisation slashed Whereas another organisation slashed
their planned BI program significantly after their planned BI program significantly after realising few benefitsrealising few benefits
Why the difference?Why the difference?
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learning from that ResearchKey Learning from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline Segmented call routing in a TelcoSegmented call routing in a Telco
SummarySummary
Research Findings Research Findings DW Benefit Realisation Analytical FrameworkDW Benefit Realisation Analytical Framework
Environment
Project InitiationOrganisational Readiness
Project Delivery
Benefit Monitoring System Use
Perceived Benefits
Research FindingsResearch Findings # 1. Supporting Business Process # 1. Supporting Business Process
““The more that the use of the data The more that the use of the data warehouse can be embedded into the warehouse can be embedded into the business process being supported, the business process being supported, the more likely it is that benefits will be more likely it is that benefits will be realised”realised”
““Operational business processes tend to Operational business processes tend to realise the benefits of data warehousing realise the benefits of data warehousing more readily and more quickly than tactical more readily and more quickly than tactical or strategic business processes.”or strategic business processes.”
Research FindingsResearch Findings # 2 External & Contextual Influences # 2 External & Contextual Influences
EnvironmentEnvironment State of IndustryState of Industry Level of Government InterventionLevel of Government Intervention
Organisational ReadinessOrganisational Readiness Existing IT SystemsExisting IT Systems Information Sharing cultureInformation Sharing culture Analytical competency of usersAnalytical competency of users
Project InitiationProject Initiation Motivation Motivation Project SponsorProject Sponsor
Research FindingsResearch Findings # 3. Strategies to increase Benefits # 3. Strategies to increase Benefits
realisedrealised Focus on increasing use of DWFocus on increasing use of DW Providing superior training & supportProviding superior training & support Maintaining high level of business Maintaining high level of business
involvementinvolvement Communicating with the businessCommunicating with the business Ensuring data quality is goodEnsuring data quality is good Achieving a high level of system qualityAchieving a high level of system quality
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learnings from that ResearchKey Learnings from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Plan Optimisation application for a TelcoPlan Optimisation application for a Telco Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline
SummarySummary
Automated KPI SystemAutomated KPI System Large hardware retail chain Large hardware retail chain Major business improvement programMajor business improvement program 12 Store Level KPIs identified 12 Store Level KPIs identified
Year on Year RevenuesYear on Year Revenues Gross MarginsGross Margins Stock TurnoverStock Turnover Out of StocksOut of Stocks ……
Automated KPI SystemAutomated KPI System Calculated for each branch on a Calculated for each branch on a
monthly basismonthly basis Results made available online via Results made available online via
intranetintranet Posters printed and displayed in each Posters printed and displayed in each
branchbranch Staff were paid bonuses on Staff were paid bonuses on
achievement of KPIsachievement of KPIs
Automated KPI SystemAutomated KPI System Technologies utilised:Technologies utilised:
Conscious decision to leverage Conscious decision to leverage technologies already in usetechnologies already in use
Data sourced from Data sourced from OLAP CubesOLAP Cubes Oracle FinancialsOracle Financials Manually maintained spreadsheetsManually maintained spreadsheets
Microsoft SQL ServerMicrosoft SQL Server Microsoft ExcelMicrosoft Excel Microsoft IIS & Active Server PagesMicrosoft IIS & Active Server Pages
Automated KPI SystemAutomated KPI System Major BenefitsMajor Benefits
Production & Distribution of KPIs was Production & Distribution of KPIs was entirely automatedentirely automated
System became part of the regular monthly System became part of the regular monthly reporting processreporting process
Branch management & staff responded to Branch management & staff responded to the challengethe challenge
SignificantSignificant cost savings were achieved cost savings were achieved
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learnings from that ResearchKey Learnings from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Plan Optimisation application for a TelcoPlan Optimisation application for a Telco Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline
SummarySummary
Plan OptimiserPlan Optimiser Mobile Telecommunications OperatorMobile Telecommunications Operator Committed to launching a new planCommitted to launching a new plan Designed to increase revenue by Designed to increase revenue by
increasing the footprint within the increasing the footprint within the customer’s organisationcustomer’s organisation
But unsure of how to accurately But unsure of how to accurately determine which existing customers to determine which existing customers to targettarget
Plan OptimiserPlan Optimiser Challenge involved:Challenge involved:
Analysing 3 months call usage data for Analysing 3 months call usage data for each customereach customer
Approximately 300,000 customers in the Approximately 300,000 customers in the target segmenttarget segment
Executing within very tight timeframeExecuting within very tight timeframe
All customers were categorised:All customers were categorised: No changeNo change Or recommended one of 3 variations of the Or recommended one of 3 variations of the
plan (depending on usage)plan (depending on usage)
Plan OptimiserPlan Optimiser Technologies utilised:Technologies utilised:
No choice but to leverage technologies No choice but to leverage technologies already in usealready in use
Data sourced from Data sourced from EDW – Customer call dataEDW – Customer call data
Redbrick Data Warehouse Redbrick Data Warehouse Hyperion ReportingHyperion Reporting JavascriptJavascript
Plan OptimiserPlan Optimiser Major BenefitsMajor Benefits
Entire target base analysed prior to launchEntire target base analysed prior to launch Proactively communicated to entire base Proactively communicated to entire base
exactly which plan suited them bestexactly which plan suited them best Low cost but effective solution Low cost but effective solution Ensured call centre was not swamped on Ensured call centre was not swamped on
launch datelaunch date Prevented customers being sold the wrong Prevented customers being sold the wrong
planplan
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learnings from that ResearchKey Learnings from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Plan Optimisation application for a TelcoPlan Optimisation application for a Telco Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline
SummarySummary
Intelligent Invoice AnalysisIntelligent Invoice Analysis New Zealand Airline New Zealand Airline Low cost enhancement to the EDWLow cost enhancement to the EDW Automated verification of Frequent Automated verification of Frequent
Flyer Partner airline’s invoicesFlyer Partner airline’s invoices
Intelligent Invoice AnalysisIntelligent Invoice Analysis Involved automating a series of simple Involved automating a series of simple
checkschecks Was the Frequent Flyer one of ours?Was the Frequent Flyer one of ours? Did the airline fly those legs?Did the airline fly those legs? Did the airline fly those legs on those Did the airline fly those legs on those
dates?dates? ……
All invoice lines were categorised:All invoice lines were categorised: OKOK SuspectSuspect RejectReject
Intelligent Invoice AnalysisIntelligent Invoice Analysis Technologies utilised:Technologies utilised:
Conscious decision to leverage Conscious decision to leverage technologies already in usetechnologies already in use
Data sourced from Data sourced from EDW – Loyalty dataEDW – Loyalty data EDW – Flight Schedule dataEDW – Flight Schedule data Loyalty Partner’s Invoice Detail filesLoyalty Partner’s Invoice Detail files
Oracle Oracle Informatica ETLInformatica ETL Hyperion ReportingHyperion Reporting
Intelligent Invoice AnalysisIntelligent Invoice Analysis Major BenefitsMajor Benefits
Verification of Partner Invoices was almost Verification of Partner Invoices was almost entirely automatedentirely automated
System became part of the regular monthly System became part of the regular monthly Partner Payments processPartner Payments process
Quality of Data from Partners improved Quality of Data from Partners improved markedlymarkedly
Payback in 3-4 months of operationPayback in 3-4 months of operation
AgendaAgenda IntroductionIntroduction Data Warehouse Benefit Realisation Data Warehouse Benefit Realisation
ResearchResearch Key Learnings from that ResearchKey Learnings from that Research Real Life Examples of Analytical Based Real Life Examples of Analytical Based
Work ProcessesWork Processes Automated KPIs in a Retail environmentAutomated KPIs in a Retail environment Intelligent Invoice Analysis in an AirlineIntelligent Invoice Analysis in an Airline Plan Optimisation application for a TelcoPlan Optimisation application for a Telco
SummarySummary
SummarySummary Supporting the Business ProcessSupporting the Business Process
““The more that the use of the data The more that the use of the data warehouse can be embedded into the warehouse can be embedded into the business process being supported, the business process being supported, the more likely it is that benefits will be more likely it is that benefits will be realised”realised”
SummarySummary Supporting the Business ProcessSupporting the Business Process
““Operational business processes tend to Operational business processes tend to realise the benefits of data warehousing realise the benefits of data warehousing more readily and more quickly than tactical more readily and more quickly than tactical or strategic business processes.”or strategic business processes.”
SummarySummary Doesn’t necessarily require new tools or Doesn’t necessarily require new tools or
technologiestechnologies People and process are more important People and process are more important
than the technologythan the technology Focus on increasing use of the dataFocus on increasing use of the data