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Analytics Big Data Deployment Tips BI Best Practices for Performance Gain CxC

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The solution to 20 yrs of failed BI implementations, 8-24% user adoption and wasting end users and management's time and money. Analytics and BI investment continues to be top of Gartner, Info week, …

The solution to 20 yrs of failed BI implementations, 8-24% user adoption and wasting end users and management's time and money. Analytics and BI investment continues to be top of Gartner, Info week, Forrester companies to-do lists, but BI fails to deliver - until now. Read and comment on Outcome + Audience Centric BI designed to ensure knowledge worker and enterprise performance enhancement.

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  • O + A Centric’s design focuses on delivering measureable value to “audience” in shortest time possible to accelerate client’s decisioning and discovery processes and grow client’s competitive advantage.
  • As a result, most companies have 5 or more business analytics systems typically located in finance, marketing, research, product development departments. The 4.1 mean number of BI systems means most companies have Cognos & SAS & Business Objects & SPSS & specialty visualization tools – CxC has experience across breadth of tools and data.Big Data is the next big thing in IT with IT struggling wit what to do with internet accessible data, social data, etc. The Outcome + Audience Centric method helps companies address big data application, needs and value using an information architecture approach to achieve a shorter path to leveraging Big Data.70% failure rate for BI is an ongoing and foreseeable reality as employees Analytics appetite is insatiable – analytics and the search for the best solution is an ongoing and continuous program – As a result, end users and lines of business are unhappy with deliverables and IT is frustrated by projects that overrun budgets, are 80% likely to experience scope creep and then return miserable post project satisfaction scores. O+A delivers from the audience backwards to assure success from audience’s perspective and assure value is achieved with prescribed and monetized outcomes.85 percent of managers are overwhelmed by analytics for a host of reasons – netting out the problem – they are the audience – and the output from analytics efforts rarely meets their perceived needs – The solution is to operate from audience “desired state” perspective from day one and continuously thereafter.  A combined 68 percent of non-technical respondents were dissatisfied or indifferent with the responsiveness and support of their BI vendor; fifty-three percent of technical respondents were dissatisfied or indifferent
  • Reiterate that analytics is competitive and hard proof that better analytics companies demonstrate better performance.
  • CxC’s audience centric approach addresses the statistically poor performance ratings earned by traditional BI deployments – CxC BI profiles end users for what they want initially, while factoring user roles and BI evolution in order to deliver best outcome and best return on BI investment – Business analytics designed to be used and add value.
  • The audience is the most important metric – the role of the recipient of information and the communicator of information and findings
  • While power users requires access to the same tools – Power users, an estimated 10% of end users, want access to everything – data, calculators, tools – to make better decisions and to publish analytic content
  • While IT and some line managers may scoff at Mobile BI or information presented on tables and doubt the business value – senior executives and board members want easy to access – follow-them-around access to information -
  • Analytics is doomed to obsolescence and easily dismissed if not designed from the start to be personalized, iterative, eye and thought catching, social, INTERESTING. Challenge – How do you keep analytics newsworthy? Manage analytics content using a publishing model – better yet, borrow the best content publishing and subscription model in the market today – the $14B Apple iTunes model.
  • End users across all department’s get this – the idea of content and apps in a publish and subscribe format. The additional features of being able to ‘like’ and share add to interest and use. The knowledge capture and usage data (popular, recent, meta data associated with users, fields, queries) adds tremendous value to business intelligence library.
  • While many pundits and software and consultant firms will stress the need for data scientists, expert systems, algorithms and self service tools, the real gap is in packaging, designing analytics for consumption – How do you attract end users to information to help them make better informed decisions?
  • Analytics on analytics yields insights that help management and IT rebalance and critique investment and resource allocation based on business value, risk, potential and strategic value.
  • Preliminary analysis examines over 30 dimensions to provide insight to management and all enterprise analytics stakeholders.
  • Transcript

    • 1. OUTCOME +AUDIENCECENTRICANALYTICSTHE NEXTPERFORMANCE Keynote: Michael R Hoffman, Client x ClientFRONTIER mrhoffman@clientxclient.com Twitter: mrhoffman Phone: 908.542.1134
    • 2. ANALYTICS TRANSFORMATION Today | O+ A Analytics 2000s | Web, Dashboards, Self Service BI, BI Platforms 1990s | Client / Server , Desktop, Proprietary Analytic Solutions (Silos) 1970s and 80s | Mainframe Greenbar Reports Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 3. TODAY’S CHALLENGESEveryone Has BI & BA Big Data Growth4.1 8x mean number of BI Data growth due to systems per social, machine to company machine, web and data od data 0Analytics Failure Rate Information Complexity70 85 percent of managers percent of end users citing burden to dissatisfied with BI decision making is projects complexity of tools, data, methods Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 4. IMAGINE IF… YOU COULD ACHIEVE THESE BENEFITS: REDUCED MORE HIGHLY EASY TO END USER COSTS FLEXIBILITY AGILITY MOBILITY AUTOMATED IMPLEMENT PRODUCTIVITY WITH AN ANALYTICS SOLUTION THAT IS: OUTCOME USER SCALABLE EFFICIENT FOCUSED CENTRIC AND ELASTIC Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 5. OUTCOME + AUDIENCE CENTRIC = POWERCopyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 6. O + A ANALYTICS IS… A NEW APPROACH DELIVERS HIGHEST VALUE IN SHORTEST TIME BUILT ON YOUR INVESTMENTS Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 7. O+A DELIVERS ON ANALYTICS PROMISE Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 8. ANCHOR IN 4 DIFFERENTIATORS • Outcome Centric – analytics monetized by related change in outcome: Risk $, Opportunity $, Innovation $ • Audience Centric – Support Individual‟s Information & Learning Consumption Profiles & Role • Manage Analytics as Content – Borrow from Apple‟s Consumer (Audience) Centric Ecosystem to Model Self Optimizing Analytics Infrastructure • Leverage Social, Knowledge Management and Design Thinking Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 9. BEST SOLUTION FOR BUSINESS & IT Gain Business Top line Operational Reduce market Innovation growth Excellence costs share Objectives How can I… …grow revenue? …meet user/exec demand for mobile BI? …improve end user experience & satisfaction? …reduce BI cost and cost per question? Legacy Life Resources Customer AutoFinance Operations Home Claims Business Partner Business Partner Claims Database System Claims System Systems System HR Systems Insurance System Claims System …Big Data and IT Assets Database Claims Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 10. WHY OUTCOME CENTRIC? By 2014, fewer than 30% of BI initiatives will align analytic metrics completely with enterprise business drivers. Organizations often develop and deploy hindsighted- oriented metrics and/or query applications focusing on metrics that users may find interesting, but that don’t represent the operational or strategic controls used to facilitate business performance. Gartner CLIENTxCLIENT, ProprietaryCopyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 11. WHY OUTCOME CENTRIC? Analytics Decision Optimization What’s the best that can happen? Predictive Analytics What will happen next?Competitive Advantage Forecasting What if these trends continue? Statistical models Why is this happening? Alerts What actions are needed? Query/drill down Where exactly is the problem? Ad hoc reports How many, how often, where? Standard reports What happened? Outcome? Degree of Intelligence Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 12. WHY OUTCOME CENTRIC?O+A DELIVERS RESULTS Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 13. ANALYTICS HAS AN AUDIENCE PROBLEM – 8-24%ADOPTION…NEED FOR AUDIENCE CENTRIC ANALYTICS Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 14. AUDIENCE CENTRIC USER PROFILESDETERMINE DELIVERY SCOPE* How you communicate your results to decision makers is just as important, if not more so, than getting the results themselves Tom Davenport – Babson College10% Hands OnDeep Analytics 20% Reporting Engaged 30% Voice Activated 40% Reporting AwareCopyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman*Analytic Asset Inventory Deliverable
    • 15. TO ENSURE ANALYTICS USE AND RELEVENCE, YOU MUST DELIVER PER END USER’S LEARNING STYLE Visual - needs to see text, diagrams, flow charts, demonstrations. Auditory - needs to hear, either to listen or to participate in discussions. Tactile/Kinesthetic - needs to write, to touch, to do, to move, to build. Reflective - needs to think through before doing. Social - prefers to study with other people. Solitary - prefers to study alone.AUDIENCE CENTRIC ANALYTICS FACTORS LEARNING STYLE*About learning styles: http://gatortracks.pbworks.com/f/social+media.pdf *Analytic Asset Inventory DeliverableCopyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 16. DESIGN BASED ONAUDIENCE & OUTCOME Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 17. WHY MOBILE – WHY AUDIENCE CENTRIC Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 18. CLIENTXCLIENT OUTCOME + AUDIENCESCOPES & DELIVERS MOBILE At a recent Aberdeen briefing by Andrew Borg, the subject of mobile app advantages surfaced. Survey data taken from 240 enterprises suggest that [overall], the use of mobile apps designed specifically to help employees get their work done, increased productivity by 45%. … But the kicker in Aberdeen‟s study revealed that business intelligence data is twice as likely to be used by enterprise workers if they’re simply offered a means to access the data through a mobile device. Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 19. AUDIENCE CENTRIC ANALYTICS MUST BE MANAGED AS CONTENT Rule # 4 We don‟t pay attention to boring things. Rule # 10 Vision trumps all other senses.Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 20. CONSUMER ORIENTED ANALYTICSINFORMATION ARCHITECTURE CxC’s Outcome + Audience Centric Analytics Delivery System Borrows from Apple’s Successful Model System • Browse Content • Browse Content • Delete Content • Find Content • Play Content • Play Content • Make Playlists • Buy Content • Rate Content • Rate Content • Stream Content • Buy Applications • Alter Content • Burn CDs • Subscribe to Content • Add Content • Etc. Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 21. CLIENT X CLIENT OUTCOME + AUDIENCEANALYTICS INFORMATION ARCHITECTURE Focus On Knowledge Worker Preferences & Value Interact Subscribe Acquire Create • “ My Goals” Status • “Favorites” • Search • Information • Any-Screen Access • “Like” • Sensors Integration • Mobile (BYOD) • Alerts • Subject Areas • ETL and Data • Rate & Review • My Dashboards • Performance Warehousing/Marts • Simulations • My Report Views Libraries • Big Data • Calc‟s & Tools • “Search” • What‟s Popular • App Development • What If‟s • “People like you…” • Collaboration • Data Quality • Decision Support • My Playlist • Monetize Assets • Predictive Models • BPM, CRM, CEM • My Schedule • Algo & Model • Organic Models • Performance • Distribute Libraries • Cloud: SAAS, PAAS Management • Knowledge • Sensors • „Like‟ & „Share‟ Management • Reporting • Governance & • Video Compliance • Gamification • Asset Inventory Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 22. O + A ANALYTICS REQUIRES TALENT MIX “To meet the explosion in channels, devices and touchpoints, build a team that blends skills in analysis, programming and user experience.” • Forrester Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 23. CLIENT X CLIENT’S ANALYTICS ASSET INVENTORY Gain Business Top line Operational Reduce market Innovation growth excellence costs share Objectives Schematic of enterprise analytics processes, data & systems Monetizes each analytic asset Catalogs and monetizes analytic assets Rationalizes analytics investments Foundation for knowledge Legacy Life Analytic Assets Business Auto Derived Data Home Claims Exec Business Partner Customer Claims Rule in BPM Claims System Risk Score Weekly Report Insurance System Dashboard Claims System Segment Score … Alert Database Claims Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 24. ANALYTICS ASSET INVENTORY PROFILESAUDIENCE ANALYTICS PREFERENCES & ROLESCopyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman *Analytic Asset Inventory Deliverable
    • 25. ANALYTIC ASSET INVENTORY REPORTING: EXAMINE ANALYTICS FOR ROIAND STRATEGIC VALUE $ Cost Strategic Value Bubbles represent company‟s individual analytic assets: reports, dashboard, algorithms, derived data (i.e. segmentation, NPV, EBIDTA), subscription data; etc. cataloged in Analytic Asset Inventory Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 26. ANALYTICS SATISFACTION VS VALUE Audience Satisfaction (Avg. End User Score) Strategic Value Bubbles represent company‟s individual analytic assets: reports, dashboard, algorithms, derived data (i.e. segmentation, NPV, EBIDTA), subscription data; etc. Bubble size = cost; cataloged in Analytic Asset Inventory Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 27. PRODUCT DESCRIPTION: ANALYTICS OFANALYTICS Analytics of Analytics Deliverables Deliverable Purpose Domain Scorecard Measure of BI/BA readiness Return on Analytics Measure of costs and strategic value Operational Efficiency Analysis Measure of process automation, delivery, scheduling efficiency Satisfaction Index Measure of end user satisfaction, KPIs Applied Analytics Gap Analysis Insights into desired outcomes IT Asset Topography Inventory of technical architecture Custom Reports Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 28. PRODUCT DESCRIPTION: BI/BA/REPORTING MATURITY PROFILE BI / BA / Reporting Maturity Assessment Deliverables • Maturity/Capability Scorecard • Suggestions and Recommendations: − High value BI / BA / Reporting initiatives − Future BI / BA / BA capability upgrades − Analytic use cases Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 29. WHY BASELINE THE CURRENT BI ECO-SYSTEM?The primary purpose of the Analytic Asset Inventory is to order andanalyze complex BI / BA / Reporting eco-systems.A few benefits:• Helps appraise current BI spend. Cloud, Big Data, Mobile, BYOD• Foundation for integration of emerging Decision Support, Performance Information Insights Mgmt. KPIs technologies.• Enhances communication between IT, business units, and centers of excellence. Business Process Opt. Business Information Integration and Mgmt.• Basis for Analytics Information Analytics Architecture Roadmap & Reference Architecture Business Analytics Insights Data Governance Architecture Systems Integration Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 30. WHY ANALYTICS ASSET INVENTORY Top reasons our client’s request Analytics Assets Inventory Technology (IT) Line of Business/Department BI/BA Centers of Excellence • Baseline for transition to next • Pinpoint areas to create • Baseline maturity assessment for generation analytics architecture competitive advantage transition to: design driven by: − Business process Management − Elevated end user expectations • Broaden audience benefiting (embedded BI) − Next generation BI tools through advanced analytics to − Replacing legacy reports − Big data grow overall performance − Analytics as content − BYOD − Collaboration − Mobile • Assess value of current analytics − Cloud to business outcomes • Improve end user satisfaction • Bring order to current analytics • Improve end user satisfaction • Bring order to & rationalize portfolio, reduce reactive and ad- current analytics portfolio, reduce hoc requests • Reduce exposure to reactive and ad-hoc performance surprises requests, reduce duplication of • Assess value of current analytics effort platform(s)/eco-system, identify • Reduce analytic cycle time areas to lower costs and increase • Assert leadership role by clearly efficiencies • Improve analytics usability and understanding current state as applicability baseline for roadmap to future • Improve end user satisfaction state vision Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 31. PRODUCT DESCRIPTION – ANALYTICSCATALOG AND TAXONOMY Catalog and Taxonomy Deliverables: • Company‟s Analytics Catalog • Analytics Taxonomy • Standard and custom reports available Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 32. Product Description: End User Consumption Profile HOW YOU COMMUNICATE YOUR RESULTS TO DECISION MAKERS IS JUST AS IMPORTANT, IF NOT MORE SO, THAN GETTING THE RESULTS THEMSELVES Tom Davenport – Babson CollegeCopyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 33. ANALYTICS ASSET INVENTORY PROVIDESFRAMEWORK FOR NEXT GENERATIONANALYTICS TECHNICAL & RESOURCE DESIGNWhat Why Did it What Could In-Line/Analytics –Happened? Happen? Happen? Pre-Compute Continuous Testing Enabling Trends Big Data Approaches Social/BYOD Access BYOD, Social Traditional Hyper Analytics Integration C-Sourcing Analytics Microsoft & Google Breakthroughs R Reporting In-Memory Analysis Off-Line Analytic Projects Columnar database Cloud Analytic Services Predictive ScenariosThrough 2013, 20% of organizations will have the skills andmaturity necessary to fully exploit next generation analytics Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 34. O+A ANALYTICS VISIONBest Analytics Experience AcrossPC, Phone, and Browser Analytics on Your Terms Online On-premises ENTERPRISE UNIFIED BUSINESS ENTERPRISE CONTENT COLLABORATIONCOMMUNICATIONS INTELLIGENCE SEARCH MANAGEMENT Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 35. Why CLIENTxCLIENT? DEPTH & BREADTH OF SOLUTIONS ANALYTICS MANAGEMENT END TO END INNOVATION CAPABILITY OUTCOME + AUDIENCE DATA ANALYTICS MANAGEMENT ACCESS TO EXPERTISE SKILLS VENDOR FUTURE AGNOSTIC PROOF (INTEGRATION) SERVICES Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 36. DELIVERING 0+AANALYTICS AS ASERVICE Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 37. WHAT CONSTITUTES O+A SERVICES? CONSULTANTS & STAFFING ELASTICITY & EFFICIENCY 0+A ANALYTICS AS A SERVICE O+A BIG DATA & CLOUD AS A SERVICE Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 38. WHAT CONSTITUTES O+A ANALYTICS? SOFTWARE AS A SERVICE PLATFORM AS A SERVICE INFRASTRUCTURE AS A SERVICE Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 39. IS OUTCOME + AUDIENCE ANALYTICSREADY FOR YOU? SOUND INFORMATION ARCHITECTURE? DESIGNED TO QUICKLY ANSWER USERS “NEXT” QUESTION? MEETS IT AND BUSINESS OBJECTIVES? CAN USERS NAVIGATE SOLUTION? WILL O + A WORK WITH MY APPLICATIONS? Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 40. OUTCOME + AUDIENCE ANALYTICSPRINCIPLES CONFIDENTIALITY INTEGRITY INNOVATION ACCOUNTABILITY Copyright ClientXClient contact MRHoffman@ClientXClient.com Twitter: mrhoffman
    • 41. OUTCOME +AUDIENCEANALYTICSQ&ACONTACT: MICHAEL HOFFMAN@908.542.1134 ORMRHOFFMAN@CLIENTXCLIENT.COM