Infovision 2011 Enterprise wide Analytics, Arnab Chakraborty, HP
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Infovision 2011 Enterprise wide Analytics, Arnab Chakraborty, HP

Infovision 2011 Enterprise wide Analytics, Arnab Chakraborty, HP

http://informationexcellence.wordpress.com/2011/10/28/infovision2011-presentations/

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    Infovision 2011 Enterprise wide Analytics, Arnab Chakraborty, HP Infovision 2011 Enterprise wide Analytics, Arnab Chakraborty, HP Presentation Transcript

    • ENTERPRISE WIDE ANALYTICSLeveraging Insights to Drive Business ValuePresented at Infovision 201 Bangalore 1,Arnab Chakraborty, Director – Global AnalyticsHewlett-Packard Company © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Agenda Analytics in the Enterprise Centralized Analytics Model Analytics in Action Key Learnings © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • ANALYTICS IN THE ENTERPRISE © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • In todays exponential times we have access toenormous amount of data44x growth Multiple Forms Structured data Unstructured data 15% share, 20% growth 85% share, 60% growth 2020 Web-logs, 35 ZB* Articles 20090.8 ZB* Social Documents networks Transaction Videos dataOur ability to harness the power of data analyses toEmail us make intelligent and help* ZB: Zettabytes = 1 trillion gigabytesSource: IDC. (DigitalsmarterMay 2010. Universe). decisions helps build competitive advantage © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Leaders need to make various business decisions … Build and Market & sell Manufacture and Manage financial Manage humanmanage products products deliver products Resources resourcesTo achieve Key Business Outcomes For the Organization … Accelerate Growth Mitigate Risks Lower Costs Faster response to Reduce risk of not meeting Improve Operational business demands © Copyright 2011 Hewlett-Packard Development Company, L.P. The information business expectations Efficiency contained herein is subject to change without notice.
    • Analytics is becoming core to enabling these decisionsacross enterprise processes Illustrative Enterprise-Wide Activities Market & Sell Manufacture & Deliver Manage Financial Manage Products Products Products Resources – Evaluate product – Perform Customer & – Manage demand for – Perform planning & performance Market Intelligence products forecasting – Manage product – Improve Customer – Develop materials – Evaluate & manage and service lifecycle Satisfaction strategies financial – Develop & manage – Define & manage performance pricing channel strategy Requiring Actionable Intelligence to drive better decision + + REPORTING RESEARCH ADVANCED ANALYTICS © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • How does analytics help the enterprise Predictive What’s the best that can happen?Competitive Advantage Optimization What if these trends continue? Forecasting/ Predictive Modeling Why is this happening? Statistical Analysis Research What actions are needed? Descriptive Business Source: Adapted from a graphic produced by SAS Analysis Where exactly is the problem? Reporting What happened? Degree of Complexity Degree of Complexity © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. * As defined by Business Dictinorary.com
    • Businesses are investing to make sense out of data tohelp them compete Loyalty and serviceRevenue management Information-based strategySupply chain analytics Movie preference algorithms A key element of their strategy to win against competition © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Source: Competing on Analytics. HBR. 2006.
    • CENTRALIZED ANALYTICS MODEL © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • HP established the Global Analytics organization withtop management sponsorshipOur Positioning Our vision Objectives HP CEO Enable HP to win with the power Lead the HP analytics eco-system to support of analytics enterprise priorities Innovate and customize solutions for sustained competitive advantage HP CFO Deliver the power of analytics using comprehensive, leading edge tools and Global Analytics techniques HP Global Analytics (Chief Analytics Better decisions. Faster Officer) Attract and grow the best talent © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Investing in key capabilities 1 2 3 4 COLLECT: VISIBILITY: INSIGHT: PREDICT: What data? What happened? Why did it happen? What could happen? DATA QUERYING & RESEARCH AND ADVANCED ACQUISITION & REPORTING INTERPRETATION ANALYTICS INTEGRATION ... To Drive Business Impact TARGETED MITIGATE OPTIMIZE + + GROWTH RISKS COST © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Building ready to deploy solutions MARKETING SALES CUSTOMER SVC SUPPLY CHAIN FINANCE HRCUSTOMER SALES FORCE CUSTOMER DEMAND-SUPPLY FINANCIAL WORKFORCEINTELLIGENCE ALLOCATION SUPPORT PLANNING REPORTING & OPTIMIZATION ANALYSES ANALYSESMARKET SALES INVENTORY ATTRITIONINTELLIGENCE EFFECTIVENESS WARRANTY OPTIMIZATION SERVICES MODELING ANALYSES COSTINGMARKETING SALES NETWORKEFFECTIVENESS COMPENSATION OPTIMIZATION COMPLIANCE & RISKPRICING PRODUCT SALES PROCUREMENTANALYTICS PERFORMANCE ANALYTICS © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • ANALYTICS IN ACTION © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Ecommerce value chain Drive Traffic Merchandizing Fulfillment Customer Support 1. Traffic modeling 1. Category planning 1. Demand forecasting 1. Customer surveys support 2. Web analytics 2. Inventory 2. Returns analysis 2. Pricing analysis optimization 3. Demand gen optimization 3. Warehouse space planning 4. Customer targeting Drive Quality + Enable the + Store Ops Enhance + Traffic right product Efficiency Revenue mix © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Sales analytics Opportunity Sales Sales Sales planning Post sales sizing Enablement Operations• TAM sizing by BU • Sales force • Account Profiling/ • Sales Pipeline • Sales / vertical allocation deal support Analytics Performance/ productivity • Channel coverage • Big Deal Pricing analysis analysis• Market/ Customer • Campaign • Install base • Total Customer/ segmentation planning and analysis (Cross- • Channel Inventory Partner Experience (RAD analysis) analysis sell/ up-sell) and sell through analysis reporting Increase Sales Enhance Customer Improve Sales Drive Revenue Coverage + Intimacy © Copyright 2011 Hewlett-Packard Development Company, L.P. The information + Effectiveness + performance contained herein is subject to change without notice.
    • © Copyright 2011 Hewlett-Packard Development Company, L.P. The informationcontained herein is subject to change without notice.
    • Social media analysis Enhancing Customer Experience and SatisfactionLISTENING ANALYZING TRENDS RECOMMENDATIONS Listening to online Analyze conversations to get Provide product summary on conversations to understand qualitative insights on features/quality issues vis- themes, pitch and intensity queries/complaints on HP à-vis competition of online content products © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Closing Comments © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • The enterprise-wide analytics journey Focused Innovation Exponential Value Build legitimacy and credibility within the enterprise Consolidate & establish best practices Enterprise wide footprint Integral to the Business Core competencies: Establish common tools, analysis frameworks, centers of expertise Pilot Projects to establish value stories Scalable talent & strong leadership 1 – 2 years© Copyright 2011 Hewlett-Packard Development Company, L.P. The information 2 – 4 years 4+ yearscontained herein is subject to change without notice.
    • Key Learnings From HP’s Journey Talent acquisition & development Tools & Processes © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
    • Thank YouArnab ChakrabortyDirector, Global AnalyticsHewlett Packard Companyarnab.chakraborty@hp.com+91 98860 52124 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.