How to get started in extracting business value from big data 1 of 2 oct 2013
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How to get started in extracting business value from big data 1 of 2 oct 2013

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    How to get started in extracting business value from big data 1 of 2 oct 2013 How to get started in extracting business value from big data 1 of 2 oct 2013 Presentation Transcript

    • Gaining competitive advantage through Big Data assets and investments A pragmatic approach on how to get started to extract business value from Big Data footprint netStar Partners Capital & Business Breakthroughs October, 2013 Slideshare 1 of 2
    • Content 2  Introduction  Do or die board questions about Big Data management  What is Big Data? The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach
    • Introduction 3  What executives think Big Data is? Source :The Financial Brand | Big Data: Big Opportunity in Banking ... or Big B.S.?, Nov 2012 IBM I Survey Results 7% Data in social media 10% Great volumes of data 8% New trendy buzz word 15% Real time info 13% Non traditional sources of data 16% New data, new analysis 18% More information
    • Introduction 4  Big Data is the dynamic/mobile/interactive footprint of the technological revolution that is changing customer behavior and competitive landscape
    • Introduction 5  If you have think that the undergoing technological revolution is impacting or may impact your business,…….. … Big Data management is a MUST!!!! Data can tell youWhat!! Managers have to decideWhy andWhat to do!!
    • Content 6  Introduction  Do or die board questions about Big Data management  What is Big Data? The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach
    • Do or die board questions about Big Data management 7 1. How will Big Data change the basis of competition in our industry? 2. Does our business plan reflect the full potential of Big Data to improve our performance? 3. Is our portfolio of Data management initiatives aligned with the opportunities & threats? 4. What will it take to exceed our customer expectations using Big Data? 5. How will Big Data improve our operational & strategy agility? 6. Do we have the capabilities required to deliver value from Big Data opportunities? 7. Who is accountable for Big Data? & How we hold them to account?
    • Content 8  Introduction  Do or die board questions about Big Data management  What is Big Data?The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach
    • What is Big Data? The 4 V´s 9 1. Volume 2. Variety 3. Velocity – Real time 4. Value Vast amounts of varied, fast-moving information that can be processed and analyzed to create significant value for an organization
    • Today •Relevance, impact, perspective •Data availability •Process of dealing with the data •Use of results-action orientation In the future • Future relevance, impact, perspective • Emerging critical data • New processes and tools • New uses, interactive and online uses of results- Future action orientation The volume of data matters • Sampling vs all • Multiple sources increase the value The variety of data matters • Many sources • Structured & unstructured • Public vs proprietary The velocity of data matters • Real time vs batch What is Big Data? When & where is its value? 10 Company value
    • In the future ExternalInternal Structured Un-Structured DataTypes DataSources Mobile / GPS / GIS Credit Info;Travel Info Census; Real State DB RFIDTags Health profiles Life events records Presence reports Twitter G+; facebook; Foursquare; Linkedin, ….Blogs, External sensor data IoT Interactions Voice & media digitalization …. Feeds in web Online forums Internal Social networks Sharepoint Docs Sensor Data InternalVoice & media digital … What is Big Data? The data 11 TODAY ExternalInternal Structured Un-Structured Data types Datasources Mobile / GPS GIS Credit Info Travel History Census & Public surveys Real State Records …. Twitter G+; facebook; … Linkedin, …. Blogs ….. HR files Sales info Commercial transactions/Payments CRM; ERP Finance Warehouse ….. Web Feeds Online company forums Internal Social networks Sharepoint …. Source: IDCs Digital Universe Study, sponsored by EMC , June 2011. & netStar Partners analysis
    • What is Big Data? The processes 12 Clear objectives Outputs / performance Team / Talent (Business /Analytical/Techn) Governance Tools * (Intelligent Sw and models/Scale out Infrastruc./Large DB) Methodology - Test & learn from doing Success comes from Action
    • What is Big Data? The processes 13 Intelligent software & models • Machine learning • Natural languages processing • A/B Testing • Predictive modeling…. Large datasets • Unstructured or semi structured • Continuously streaming • information • Volumes in the multiple tera to peta bytes range and beyond… Scale out infrastructure • Massively distributed • Linear scalability • Commodity hardware Source : At the Big Data Crossroads. Thomas H. Davenport. Amadeus 2013 . // & netStar Partners analysis Other suitable technologies may include: • association rule learning, • classification, • cluster analysis, • crowdsourcing, • data fusion and integration, • ensemble learning, • genetic algorithms, • neural networks, • pattern recognition, • anomaly detection, • regression, • sentiment analysis, • signal processing, • supervised and unsupervised learning, • simulation, • time series analysis and visualization.
    • Content 14  Introduction  Do or die board questions about Big Data management  What is Big Data? The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach
    • 0 10 20 30 40 50 60 70 Other Production performance Client behavior analysis Planning and predicting Better cost analysis Risk management Market trends Understanding business changes Fraud detection Churn management Real time decision making Capturing sales & marketing opps Client segmentation Clear business vision Personalized marketing using social media trends % of Positive answers Big Data opportunities 15  Areas for Big Data benefit Source: Booz & Co Benefitting from Big Data 2012
    • Big Data opportunities. Some examples 16 Industry Some Big Data opportunities Consumer goods & retail Industry • Sales trends accuracy- Accurate forecasting • Pricings settings and personalized pricing offerings • Store locations decisions • Marketing at individual level • Promotion effectiveness / Cross selling • On time vouchers Energy /Utilities • Smart meter data management • Asset management and optimization • Manage multisite generation networks • In house/In building cross selling management • Cross selling (gas/water/electricity) • and promotional effectiveness Financial services • Risk scoring management / Credit card fraud management • Dynamic pricing • Optimal ATM & branch locations • Customized promos based on bank statements • Data exchange models for SME clients Insurance services • Claims fraud • Reimbursement optimization • Usage behavior: i.e. driving behavior, lifestyle impact on life cycle
    • Big Data Opportunities. Some examples 17 Industry Some Big Data Opportunities Telecoms • Dynamic pricing • Enterprise behavioral analysis • Churn predictively and management actions (Using lifetime value analysis) Smart cities • Flow learning's of people, vehicles and its interactions • Real event impacts on city economy(Flows/expenditures/…) • City new services developments based on info management • Traffic predictive models (Based on events/weather/…) Hospitality/Travel sector • New business models based in information aggregation, understanding and learning by Big Data algorithms (i.e. Kayak, …) • Hotel sites optimizations and franchise decision making • Customer audience targeting for new travel experiences • Advertising efficiency web ads (facebook services?/internal web services) • Airline personal recognition services, services excellence and recovery programs, and new offers that inspire and motivate • Optimal pricing prediction in hospitality business. Revenue improvement via cross selling hotel / restaurant/ services / tourism services • New services definition in Hospitality business learning from customers experiences outside he hotels. New cross selling offers within the chain based in travelers internal and external to the hotel experiences
    • Content 18  Introduction  Do or die board questions about Big Data management  What is Big Data? The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach
    • Confidential19 See document netStar Partners Slideshare - How to get started in get business value from Big Data 2 of 2 Oct 2013 In Slideshare 3 Potential approaches
    • Big Data 20 57% of Business leaders agreed strongly that most of their competitors are using Big Data to their Strategic Advantage (1) 53% of large companies undertook a Big Data initiate during 2012 – 43% of them predicted ROI greater than 25%- (2) What about you? (1) CapGemini Study over 600 Business leaders 2013 (2) Tata Consultancy Services (TCS) in a Global Study including 1217 Large Companies
    • ThanksJaime.nistal@netstarpartners.es 21 MANAGING DIRECTOR Jaime Nistal jaime.nistal@netstarpartners.es Mobile: +34 629 25 61 62 netStar Partners Capital & Business Breakthroughs