WCIT 2014 Rohit Tandon - Big Data to Drive Business Results: HP HAVEn
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The document discusses the transformative effects of big data on business, emphasizing the need for organizations to adapt to an era of unstructured data and advanced analytics. HP Haven is introduced as a leading big data platform, designed to unify and analyze vast amounts of data in real-time. It highlights various use cases across industries, showcasing the importance of big data solutions in driving business insights and operational efficiencies.
WCIT 2014 Rohit Tandon - Big Data to Drive Business Results: HP HAVEn
- 1. Big Data to drive business results: HP HAVEn Rohit Tandon, VP – Corporate Strategy WW Head of HP Global Analytics © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential.
- 2. We are in a new era of accelerated innovation 2013 Every 60 seconds 98,000+ tweets 695,000 status updates 11million instant messages 698,445 Google searches 168 million+ emails sent 1,820TB of data created 217 new mobile web users Growing Internet of Things (IoT) Pervasive Connectivity Explosion of Information Smart Device Expansion Devices DATA Mobile Apps A new style of IT required for IoT solutions © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 2 to change without notice. By 2020 30 Billion(1) 40 Trillion GB(2) 10 Million(3) … for 8 Billion(4) (1) IDC Directions 2013: Why the Datacenter of the Future Will Leverage a Converged Infrastructure, March 2013, Matt Eastwood ; (2) & (3) IDC Predictions 2012: Competing for 2020, Document 231720, December 2011, Frank Gens; (4) http://en.wikipedia.org
- 3. Avoid the HiPPO - Highest Paid Person’s Opinion - Trap © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 3 to change without notice.
- 4. Business Intelligence evolution Hindsight Insight Foresight Process what happened yesterday patterns and trends prediction and action Data unstructured; business & social People report writers operations staff data scientists data warehouse, KPI Technology dashboards analytics databases © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 4 to change without notice. prediction, optimization & simulation systems highly structured Advanced Analytics Domain
- 5. Completing Analytical Vision CRM ERP Data Warehouse Web Social Log Files Machine Data Semi-structured Data Volumes Accuracy and Insight © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 5 to change without notice. Dark Data Big Data Traditional Enterprise Data Unstructured
- 6. Legacy architectures were built for a different world Yesterday’s data warehouse and analytic infrastructure • Proprietary • Expensive • Centralized, monolithic • Process laden • Batch • Summary • Slow © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 6 to change without notice.
- 7. Where are you on the Big Data continuum? Big Data is not used Level 0 No Big Data Minimal use of structured internal data e.g., from ERP, CRM systems 48%* Level 1 Structured - Internal Solution Complexity Supplement with structured external data, e.g., paid subscriptions 7%* Level 2 Structured – Internal & External Include use of unstructured data, e.g., text, graphic 8%* Level 3 Structured – Internal & External Unstructured - Internal Add use of external unstructured data, e.g., search, social media 8%* Level 4 Structured – Internal & External Unstructured – Internal & External All data sources are fully integrated and optimized Level 5 Fully Optimized Value / Benefit Data Types Present Future Source: Gartner Research Survey, March 2012 * Percentage of Gartner survey respondents who indicated high usage of that particular class of data © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 7 to change without notice. “Over 90% of executives reported that in the next three years their organization plans to incorporate unstructured data into their enterprise insights, processes, and strategy.” Source: Coleman Parkes Survey, Nov. 2012
- 8. HAVEn – The Leading Big Data Platform HAVEn Vertica Analyze at extreme scale in real-time Transactional Hadoop/ HDFS Catalog massive volumes of distributed data Autonomy IDOL Process and index all information Enterprise Security Collect & unify machine data n Apps Social media Video Audio IT/OT Images Email Texts Mobile data Search engine © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 8 to change without notice. Powering HP Software + your apps Documents hp.com/haven
- 9. HAVEn 2.0 - New advances to unlock Big Data Vertica 7.0 and Flex Zone Blazing fast exploration & analysis of semi-structured + “dark” data HAVE n IDOL 10.5 & IDOL OnDemand Powering the next generation of human information applications © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 9 to change without notice. ArcSight ESM 6.5c Accelerated queries uncover threats faster & native Hadoop analytics Integration packs
- 10. HP apps built on HAVEn 2.0 HP Operations Analytics HP Service Anywhere HP Digital Marketing Hub Announcing: The HAVEn developer program http://dev.hp.com/haven © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 10 to change without notice.
- 11. HP HAVEn services and infrastructure solutions © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 11 to change without notice. HP Autonomy *Based on large US bank customer success story Enterprise Group & Vertica HP ConvergedSystem 300 for Vertica • 70% lower cost * • 50-1000x faster analytics • Deploy in days vs months Enterprise Services • Big data discovery experience • Customer analytics services • Foresight situational awareness solution • Interactive media command center • Exploratory Info Analytics • HP IDOL Enterprise & HP IDOL OnDemand • Healthcare Analytics Platform • eDiscovery in the Cloud • Adaptive Backup & Recovery Data Protection • Digital Marketing Hub
- 12. HP HAVEn Business-driven Big Data use cases Marketing Sales Customer Supply chain Risk mgmt. HR, IT • Fraud detection • Anti-money laundering • Risk management • Broadcast monitoring • Churn prevention • Advertising optimization • Supply chain optimization • Defect tracking • RFID Correlation © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 12 to change without notice. • Weather forecasting • Natural resource exploration • Drug development • Scientific research • Evidence-based medicine • Law enforcement • Counter terrorism • Traffic flow optimization • Marketing effectiveness • Brand awareness and advocates • Integrated customer experience • Support analysis • Demand-supply planning • Procurement analytics • Systemic fraud models • Compliance and risk • Workforce optimization • IT performance management • Social lead generation • Sales optimization Industry Function Finance Government Telecom Manufacturing Energy Healthcare
- 13. BrandClout Analytics Business Problem Marketing spends are going up but impact is declining. Purchase decision cycles are being influenced by key influencers and not brands. Solution Target influencers using BrandClout: • Identify influencers relevant to the product/solution • Determine conversations influencers are interested in • Engage with influencers • Measure impact on influence exerted by your Influencer Program Solution Architecture © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject 13 to change without notice. Outcome • Reduced spends on outreach • Magnified, impactful reach • Scalable platform for advanced social analytics
- 14. Predicting Machine Failure Efficient management of machine, system and sensor based ecosystems • Extract machine data and customer ticket data from the source systems using HP’s Big Data platform (HAVEn) • Develop analytical models using R-UDFs on HP Vertica • Present model predictions and metrics machine health via an interactive dashboard Digital press RDBMS © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject 14 to change without notice. • Reduction in service and warranty costs • Improvement in Total Customer Experience • Improved up-time and better efficiency Business Problem Customer Support RDBMS Analytics in Vertica • Vertica SQL • UDFs in R Dynamic, user defined visualizations − Probability of failure − Time to Failure − Correlations Analytics Solution Architecture Solution Outcome
- 15. Imagine better targeted marketing Guess 15 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 16. Imagine better products and services NASCAR AVIS 16 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 17. Imagine optimized processes and superior outcomes UPS 17 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 18. Imagine finding and fixing problems, before your customers even notice Vodafone Ireland © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 19. Imagine real-time risk management and governance Card Skimming 19 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 20. Big data solutions: HP’s approach HAVEn ecosystem Integrators Cloud Transactional HAVEn © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 20 to change without notice. Converged Infrastructure Enterprise Services Business Intelligence Partners Data Partners Social media Video Audio IT/OT Images Email Texts Mobile data Documents Search engine Resellers Technology Services hp.com/haven
- 21. HAVEn apps from partners Analytical Security Insider Threat Analysis Healthcare Analytics Ecommerce Predictive Commercial Insurance Risk Assessment Visit the Software Pavilion in Hall 4 © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 21 to change without notice. Analytics Service Analytics for Manufacturing
- 22. Maximize your Return on Information with HP Big DDealivtearing results at the speed of business Intelligent engagement > HP SEenrgvaigcee tshe right people, processes, and technology with confidence Intelligent insight > HP HAVEn Platform Analyze, understand, protect and act on your data with HP HAVEn Intelligent management > HP Cloud & Software solutions Architect a connected information ecosystem to holistically manage, analyze, secure, & govern Intelligent infrastructure > HP Converged Infrastructure Unprecedented speed, simplicity, and scalability along with flexible delivery models © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 22 to change without notice.
- 23. Thank you © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential.