A collaborative approach to Business Intelligence. Tony Blanch Data Warehouse Manager Planning Quality and Reporting
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1 A collaborative approach to Business Intelligence Tony Blanch Data Warehouse Manager Planning Quality and Reporting
2 One year ago AAIR SIG Melbourne 2012 provided great value with points made by ANU and Altis seen as significant for UoN s BI progress Many of those lessons have since been implemented Today I would like to give back 2
3 Business Intelligence Collaboration Today s highlights Strategic alignment BI maturity assessment BI journey and growth Team collaboration BICC Software and architecture Trained users become advocates Adoption of knowledge and growing faith Persistence and lessons 3
4 Strategic Alignment
5 NeW Directions FUTURE WORKFORCE PLAN Strategic Objective 2: UoN has the leadership capacity and capability to deliver the 2025 Vision, performance targets and lead strategies. Strategy 2.5: Provide University leaders with access to robust, real time and relevant performance data to support evidence-based decisionmaking, and review the outcomes of institutional strategic and operational plans. 5
6 Business Intelligence Maturity Where are we Where should this go What areas need attention Leverage existing strengths Seek external perspectives Vision Road map Priorities Support Get started
7 Business Intelligence journey Manual Spreadsheet Reporting
8 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse
9 The data warehouse 9
10 The data warehouse 10
11 The data warehouse 11
12 The data warehouse Great potential Needs maintenance Guide it s growth Manage with care 12
13 Business Intelligence journey Manual Spreadsheet Reporting Structured Data Ad-hoc Reporting Data Warehouse
14 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins
15 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage
16 Automated reporting self service 16
17 Automated reporting self service Setup cost Timely reliable information to users Single source Unburdens BICC resources Resources start more advanced analytics Increase BI value and maturity 17
18 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage
19 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage Self Serve Web Portal Dashboard Reports User Adoption
20 MIS Portal User Access and flexibility User adoption of knowledge Self serve web portal Daily report updates Users become advocates Growing faith in data BI grows throughout the organisation 20
21 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage Self Serve Web Portal Dashboard Reports User Adoption
22 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage Self Serve Web Portal Dashboard Reports User Adoption BI Maturity Assessment
23 BI maturity assessment A recent organisation-wide BI maturity assessment measured 9 key areas judged as critical for success The maturity assessment was published with recommendations accepted This garners further support for BI areas receiving lower assessment scores This was done in the context of successful developments in the previous two years 23
24 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage Self Serve Web Portal Dashboard Reports User Adoption BI Maturity Assessment Self Serve Visual Analytics In-memory data handling. BI Maturity Program. BICD Well informed decisions
25 Oracle sources data storage SAS Data Warehouse Software SAS analytics and reporting SAS Visual Analytics with in-memory 1000x processing speeds and advanced presentation capabilities and flexibility. We re expecting much from this. Excel so-far is inescapable 25
26 Business Intelligence journey Manual Spreadsheet Reporting Data Warehouse Structured Data Ad-hoc Reporting Strategic Planning NeW Directions begins Automated Reporting and Increased Data Usage Self Serve Web Portal Dashboard Reports User Adoption Increasing Analytics and Business Intelligence Capabilities BI Maturity Assessment Self Serve Visual Analytics In-memory data handling. BI Maturity Program. BICD Well informed decisions
27 BI Competency Centre The BICC is hosted within the Planning Quality and Reporting unit This eclectic group provides a spectrum of knowledge and capabilities in data warehousing, reporting, statistics, system administration, quality control, training, ETL development, data modelling, data management and more 27
28 BI Competency Distribution Staff outside BICC are being trained in BI and Data Warehousing Power Users We combine subject matter expertise with BI expertise to maximise output and distribute the growth Members of Schools, Faculties, Student Services, Research, International, HR and Finance become fluent in decision support Organisation growth supported by business intelligence growth 28
29 Business Intelligence Maturity How do we get there? 29
30 Business Intelligence Growth Consider Perspectives People Knowledge Information Structure Process Efficiency Outcomes Intelligently
31 Business Intelligence Growth Consider Perspectives People Knowledge Information Structure Process Efficiency Outcomes Intelligently
32 Consider PEOPLE Perspectives Organisational Support for Organisational change: Executive, Finance, Sponsors, and Champions Decision makers and operational reporters Data custodians and subject matter experts I.T. and software vendors Which developers or analysts will be available and when? What BI specialists are needed? BICC, analysts, administrators, modellers, developers, reporters and BICD Manage these valued resources and relationships with care 32
33 Consider PEOPLE Perspectives Users: Users training fuels system uptake Advanced users consume more Advanced users promote the system Manage these valued resources and relationships with care Visually impaired users need consideration during presentation design. Up to 10% males red-green colour blind. 33
34 Consider KNOWLEDGE Perspectives Oganisational: Strategic priorities, KPIs Organisational structure Decision makers Data custodians Business procedures Reporting requirements 34
35 Consider KNOWLEDGE Perspectives Business Intelligence: Data warehousing and dimensional modelling Data management and quality ETL, output, interface and security development Advanced analytics 35
36 Consider INFORMATION Perspectives Integration and single source of truth One stop shop Quick delivery Information tailored to groups and individuals Automated delivery Updated current information 36
37 Consider STRUCTURE Perspectives Business Structure Projects, defined scope and deliverables Business process for decisions Actions, trends and KPIs are measured Data governance, data custodians and managers IT, networks, storage, servers, infrastructure, DBAs 37
38 Consider STRUCTURE System Structure Access to source system databases Software, Tools, Visuals, Interface Security Dimensions, Modeling, Marts, Huts System Architecture Foundation, do it once, do it right Perspectives 38
39 Consider PROCESS Perspectives Deliver that low hanging fruit Process agility Requirement delivery speed Automated delivery 39
40 Consider EFFICIENCY Perspectives Tailored outputs: fit for user purpose A good dimensional model hastens data-mart and report production Business Intelligence Competency Distribution combines the subject matter expertise with advanced analytics for output production Highly productive software Maximise the user base and user access points 40
41 Consider OUTCOMES Perspectives Support strategic processes and decision support Advanced visual analytics to leverage data assets. Use these vast data assets Reliable low maintenance architecture so valuable work is not distracted by technology 41
42 Consider WHERE TO START Senior sponsor Strategic Alignment Sell the benefits Hasten the first delivery (low hanging fruit) Engage the business stakeholders and units Minimise impact Analytics feed into strategy Invite source custodian, manager and analyst involvement 42
43 Consider COLLABORATION Project teams, Managers, Analysts Business Users, Subject Matter Experts Source system custodians and managers Engage the users IT, Networks, Infrastructure, Database Admin Vendors BICC, BICD 43
44 Have a plan sponsored Identify stakeholders Project approval, funding, initiation Project steering, meetings, analysts Include Business Units and Planners Include commercial and legal Source system custodians and managers Plan for Infrastructure and data sources Engage potential Vendors Pursue highest return on investment (ROI) 44
45 Include the users Educate staff about how BI and Analytics can help with Strategic Planning Procedures Planning Functions and Operations Information Needs Reporting Needs Operational procedures 45
46 Persist Be patient. Stay strong. Maintain focus. Don t tolerate rubbish. Confirm assumptions. Keep quality high. Charity goes a long way. Make it fun. Laugh when needed, and sell, sell, sell. Dig deep when you know an idea is right. Some ideas take time, though No army can withstand the strength of an idea whose time has come. Victor Hugo 46
47 Multiple streams concurrently No one action stream can make this work. Pursue all possible. Process Improvement Security and availability improvement Automation improvement Data quality improvement Presentation quality, clarity and meaning Rapid development, Low hanging fruit, SDLC and agility Source data availability, good data modelling BICC Knowledge improvement and investment in cooperative units Clarity and disambiguation, value, effectiveness, trust 47
48 Strategic alignment Lessons Listen to the users, then listen some more Fight inertia, build trust, educate, quick wins, 80/20 Blur the lines between operational reporting and strategic reporting as ROI dictates Know your security Pursue improvements continually Be opportunistic and strive for utopia 48
49 Business Intelligence journey
50 Business Intelligence journey
51 Questions? Tony Blanch Data Warehouse Manager Planning Quality and Reporting Vice-Chancellor s Division The University of Newcastle
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