Turning Your Data Lake into Measurable Business Value

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7 ingredients to add value to Hadoop

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Turning Your Data Lake into Measurable Business Value

  1. 1. Confidential © 2014 Actian Corporation1 Turning Your Big Data Lake Into Measurable Business Value Accelerating Big Data 2.0 John Santaferraro, Vice President, Marketing at Actian Jim Walker, Director, Product Marketing at Hortonworks May 20, 2014
  2. 2. Confidential © 2014 Actian Corporation2 Jim Walker Director of Product Marketing Hortonworks @jaymce John Santaferraro VP of Solutions & Product Marketing Actian @santaferraro Presenters
  3. 3. Confidential © 2014 Actian Corporation3 “In an on-demand world, consumers will judge brands by their ability to deliver heighted experiences – interactions, literally anywhere – that offer high levels of value and are radically customized and easy to access along the customer decision journey.” McKinsey Quarterly, 2013 The Marketing Manifesto for the Digital World Engage Customers Create Conversations Transform Brand Experiences
  4. 4. Confidential © 2014 Actian Corporation4 Big Data Creates Significant Opportunities for You Personalized Experiences • Ad, offer, & content optimization • Location-based content • Pricing optimization by segment Better Decision-Making • True marketing ROI • Predictive modeling • Holistic campaign planning • Profitability by affinity groups Deep Audience Analysis • Hyper-segmentation • Full customer 360° understanding • Buying signal analysis • Customer lifetime value More Effective Spend • Omni-channel attribution • Real-time ad & promo optimization • Media mix optimization • Brand monitoring
  5. 5. Confidential © 2014 Actian Corporation5 Big Data Creates $Billion Opportunities for You Capture Share Higher Returns Higher Profits Risk 14% Advanced marketing mix analysis delivers higher profits $226B Retail Purchases Online $200B 15-20% improvement in return on overall marketing spend 2017 Year when CMO spend On IT surpasses CIO
  6. 6. Page6 © Hortonworks Inc. 2011 – 2014. All Rights Reserved Jim Walker Director, Product Marketing – Hortonworks Jim is a developer turned marketer with over twenty years experience building products and developing emerging technologies. During his career, he has brought multiple products to market in a variety of fields, including data loss prevention, master data management and now big data. At Hortonworks, Jim is focused on accelerating the development and adoption of Apache Hadoop.
  7. 7. Confidential © 2014 Actian Corporation7 Transformational ValueData Explosion ? Actian Analytics PlatformTM Analyze ActConnect Customer Delight Competitive Advantage World-Class Risk Management Disruptive New Business Models Turning Digital Data into Transformational Value Discovery without limitations Low latency at any scale Reactive to predictive Static to dynamic flow Segment of 1 Best in Class Usage Design-time & run-time optimization Linear parallelism Rich analytics DNA Pipeline architecture Affordable unlimited scale Best in Class Capabilities
  8. 8. Confidential © 2014 Actian Corporation8 1. Visual Framework for connecting, blending, & enriching data, data science discovery, building and testing predictive models 7 Ingredients Added to Hadoop to Create Value Connect Blend & Enrich Discover Build & Test Models
  9. 9. Confidential © 2014 Actian Corporation9 1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models 2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta 7 Ingredients Added to Hadoop to Create Value Gartner Magic Quadrant for Advanced Analytics Platforms Source: Gartner (February 2014)
  10. 10. Confidential © 2014 Actian Corporation10 Complete End-to-End Analytics on Hadoop Source: 2013 Rexer Analytics Survey
  11. 11. Confidential © 2014 Actian Corporation11 1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models 2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta 3. High-Performance, YARN-based data processing engine running on HDFS 7 Ingredients Added to Hadoop to Create Value
  12. 12. Confidential © 2014 Actian Corporation12 High Performance, Parallelized Processing on HDFS Without Any Programming Actian Analytics Platform Hadoop – Leader Node Optimized, On-HDFS Processing Query Pipelining CPU Pipelining Reuse and share all components from operators to workflows Optimize Choose from five sets of operators: Connections Transformation Data Quality Analytics Data Science Automatically detect resources, plan optimal utilization, and parallelize all workloads on Hadoop Use dual pipeline parallelism to accelerate performance 30X Run fully optimized processing directly on the Hadoop node via YARN Take processing to where the data lives, runs natively on Hortonworks Visual Framework Manage the entire analytic process in a visual framework with no coding required. ≠ ☼ ≡ ∞ ∆ ∑ √ ≈ ∑ = ? # ~ ‰
  13. 13. Confidential © 2014 Actian Corporation13 1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models 2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta 3. High-Performance, YARN-based data processing engine running on HDFS 4. High-Performance, vector processing engine as the pattern for SQL on Hadoop 7 Ingredients Added to Hadoop to Create Value
  14. 14. Confidential © 2014 Actian Corporation14 The Story of X100 - Vector Peter Boncz Performance X100 Drives Stinger and Impala Aspirations!
  15. 15. Confidential © 2014 Actian Corporation15 1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models 2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta 3. High-Performance, YARN-based data processing engine running on HDFS 4. High-Performance, vector processing engine as the pattern for SQL on Hadoop 5. Extreme-Performance, super-low latency, massively parallel analytics engine 7 Ingredients Added to Hadoop to Create Value
  16. 16. Confidential © 2014 Actian Corporation16 Libraries of Analytics MassivelyParallel Integration Hadoop Sophisticated, Low Latency Analytics in Database Connections for Any Data Actian Analytics PlatformTM Enterprise Data Machine Data Social Data Business Processes Users Machines Applications Data Warehouse Real-Time AnalyticServices Visual Framework for Data and Analytic Workflows SaaS Data Actian Analytics Platform: Next Generation Big Data Analytics Amazon Redshift High Performance Data Science Natively on Hadoop
  17. 17. Confidential © 2014 Actian Corporation17 1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models 2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta 3. High-Performance, YARN-based data processing engine running on HDFS 4. High-Performance, vector processing engine as the pattern for SQL on Hadoop 5. Extreme-Performance, super-low latency, massively parallel analytics engine 6. Blueprints to accelerate analytics application development and value creation 7 Ingredients Added to Hadoop to Create Value
  18. 18. Confidential © 2014 Actian Corporation18 Big Data 2.0 Media Mix Modeling Blueprint IMPACT FORECAST ANALYSIS MARKETING IMPACT ANALYSIS CRMdb All Relevant Account Info and Demographics CONNECT BUILD CUSTOMER PROFILE EDWdb All Relevant Sales Histories ANALYZE ACT MAXIMIZE REVENUE FROM MARKETING SENTIMENT AND CONTENT ANALYSIS AGGREGATE SALES DATA Hadoop Logs Detailed ePOS Receipts SKU LEVEL SALES DATA BY GEO JOIN DERIVE AGGREGATE PREPARE EDWdb Marketing Vehicle Details CAPTURE MARKETING VEHICLES MARKETING MIX SALES CONTRIBUTION YEARLY CHANGE REPORT SALES VOLUME, EFFECTIVENES S, EFFICIENCY AND ROI REPORT NEW MEDIA MIX OPTIMIZATION MINIMIZE MARKETING SPEND TO REVENUE RATIO Hadoop Text Files Campaign Response Notes PREPARE FOR TEXT ANALYTICS CUSTOMER MATCH WITH CAMPAIGNS VEHICLE RESULTS AT GEO, STORE, SKU AND CUSTOMER LEVEL
  19. 19. Confidential © 2014 Actian Corporation19 1. Visual Framework: connecting, blending, & enriching data, data science discovery, building and testing predictive models 2. 1500 KNIME Operators + R analytics running in parallel on HDFS + Hadoop = The Open Source Trifecta 3. High-Performance, YARN-based data processing engine running on HDFS 4. High-Performance, vector processing engine as the pattern for SQL on Hadoop 5. Extreme-Performance, super-low latency, massively parallel analytics engine 6. Blueprints to accelerate analytics application development and value creation 7. ?????? 7 Ingredients Added to Hadoop to Create Value
  20. 20. Confidential © 2014 Actian Corporation20  Stay tuned for the announcement on June 3, 2014 at the Hortonworks Hadoop Summit in San Jose, California!  Join us for the webinar announcing “the seventh ingredient” on Tuesday, June 17, 2014 The Seventh Ingredient Adds Perfection
  21. 21. Confidential © 2014 Actian Corporation21 Libraries of Analytics MassivelyParallel Integration Hadoop Extreme Performance, Low Latency Analytics in Database Connections for Any Data Actian Analytics PlatformTM Enterprise Data Machine Data Social Data Business Processes Users Machines Applications Data Warehouse Real-Time AnalyticServices Visual Framework for Data and Analytic Workflows SaaS Data Questions and Answers Amazon Redshift
  22. 22. Confidential © 2014 Actian Corporation22 Jim Walker Director of Product Marketing Hortonworks jim@hortonworks.com www.hortonworks.com John Santaferraro VP of Solutions & Product Marketing Actian john.Santaferraro@actian.com www.actian.com Thank You!

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