1 Welcome to a new era Les Klein Director, Field Engineering EMEA Pivotal
About Pivotal New Company: Spun out & jointly owned by GE, EMC, Vmware Deep Execution Talent: 1800 employees Proven Leadership: Paul Maritz, CEO Global Customer Validation: +1000 Tier-1 Enterprise Customers Strategic Backing: $100M investment by GE Bold Vision: New platform for a new era, focused on the intersection of apps, big data and analytics 2
The Rice And Chessboard Story 3
So how much was there? (2^64)-1 or 18,446,744,073,709,500,000 grains or 14,757,395,258,968 (25kg) sacks 4
Moore s Law..the observation that, over the history of computing hardware, the number of transistors in a dense integrated circuit doubles approximately every two years. Source - http://en.wikipedia.org/wiki/moore's_law 5
6 What Do We See Happening? Clou d Business becoming a software business Software - how companies engage customers, powered by new data insights and new devices
7 IT does not enable the business, it is the business Executives believe innovation is extremely important to their growth strategies 84% 94%..Are unsatisfied with their innovation performance CMOs will spend more on IT than CIOs
Software is altering industries $5B valuation Financial Services $41B valuation Transportation $30B(+) valuation Entertainment $10B(+) valuation Travel & Hospitality $3.2B Acquisition by Google Home Automation $26B valuation Automotive 8
No one is entitled to their business model.. 9
As we head into a time of stronger growth coupled with increased technological change, the message for senior executives is clear: if you aim to maintain control of your corporation and deliver value to shareholders and customers, you must embrace creative destruction rather than wait to become a victim of this unstoppable force. Richard Foster Creative Destruction Whips through Corporate America 10
FS Firms Need to Build Great Software Francisco Gonzalez, CEO Banks need to take on Amazon and Google or die. The shift to digital requires a complete overhaul of banks technology it is a matter of survival. 11
Agile is the Norm PAST CURRENT & FUTURE Acceptable to delay updates and releases Immediate updates 12
3 rd Platform You are either building a software business Or losing to someone who is. 13
How Pivotal Accelerates Value Creation First Movers ~7X $290B ~20X $120B ~30X$4 B ~20X $2.9B SOLVE THE BIG DATA UTILITY GAP 70% of data generated by customers 80% of data being stored 3% being prepared for analysis 0.5% being analyzed Average Enterprises <0.5% being operationalized Smart Enterprises 14
Big Data Has Seen Transformative Advances New Requirements New Capabilities Giving Rise to New Data- Driven Competitors New data types and sources Predictive analytics Massive-scale apps and Mobile In-memory processing Internet of Things Hadoop storage 15
Enterprises Are Having Trouble Adopting Big Data But 80% of CEOs thinking data mining and analysis are strategically important (1) 0% of CIOs think their IT infrastructure is fully prepared for big data (3) 44% of new applications failed to meet performance expectations (5) 4% of companies use analytics effectively (2) 30% of companies have deployed advanced analytics, 11% big data analysis (4) 2X 90% of companies allocate at least 2X more cloud capacity than needed to ensure performance (6) (1) 2015 PWC CEO Survey; (2)2013 Baine and Company - The Value of Big Data; (3) 2014 IT Infrastructure Conversation - IBM; (4) Ernest and Young - 2014 Enterprise IT Trends and Investments; (5) 2014 Riverbed Tecnologies - The Transformers; (6) 2014 ElasticHosts CIO Study 16
Becoming a Data-Driven Company Is Hard Legacy data infrastructure can t scale or cope Do-it-yourself open source requires special talent Point technology vendors provide partial solutions 17
How to Transform to a Data-Driven Company Discover insights Create analytics algorithms Deploy analytic apps and automation at scale Store any type and size of data 18
Pivotal Coaching Services Help you Upgrade Your Data and Analytics Practice Discover insights Create analytics algorithms Pivotal Data Labs helps you move from BI to Data Science Deploy analytic apps and automation at scale Pivotal Labs helps you move to an agile development of apps at scale Store any type and size of data Pivotal Data Engineering helps you move from data administration to data engineering 19
Pivotal Big Data Suite Is a Complete Tool Set for Data-Driven Enterprises The most comprehensive suite of data technologies The most open-source and cross compatible solution Flexible core-based capacity subscription 20
Database Web Server Messaging Database Web Server Messaging The Cloud Platform Evolution TRADITIONAL IAAS PAAS Your Application Code Your Application Code Your Application Code PAAS Operating System IAAS Virtualization Platform Physical Servers IAAS 21
Cloud Foundry Foundation: Industry Standard Gold Silver 22
Pivotal CF: The Platform for a New Era of Software Innovation INTEGRATED OPERATIONAL BENEFITS FOR EVERY APP READY MIDDLEWARE SERVICES AUTO DEPLOY AND SCALE Instant Dynamic Routing Streaming Logging Agg ID/team/RBAC/Policy Four layers of built-in Availability and Health Management Application Performance Monitoring (APM) Auto-scaling, Scheduling Elastic Pivotal HD HAWQ Analytics Mobile Push Mobile Sync Mobile API MySQL HA Redis Rabbit MQ Elastic Search Cassandra Jenkins (Partner) DEPLOY, OPERATE, UPDATE, SCALE ON ANY INFRASTRUCTURE Auto-detect runtimes Extensibility via Buildpacks Push and it works model CF Push [Appfile] CF Push [Docker] CF Push [.NET].and more 23
Taking the Application Lifecycles From Months 24
to Hours and Minutes DEVELOPER Auto-select runtimes Deploy app Select and bind middleware Scale app OPERATOR Establish infrastructure Provision Add capacity Control Auth, Policies, HA App Deployment: 30-90 seconds Cloud Deployment: 2-4 hours 25
26 Pivotal for Financial Services Customer Examples
Major Credit Card Issuer Builds Infrastructure Determining Fraud Markers Across 30 Disparate Sources Challenge: Desire to identify potential fraudulent activity within Fortune 100 credit card issuer with 100K employees Identifying markers across 30 internal data sources caused lags in reporting Establish Infrastructure to support Palantir, Platfora and RSA reporting frameworks Pivotal Solution includes: GPDB, PHD, HAWQ Solution: Provided ability to store 3 months of data at 60-70TB, interest in moving to 3-year retention period Build large-scale security analytics platform to scale with data needs, analytics and reporting requirements Support organizational desire to evolve from pure BI to advanced, predictive analytics 27
Online Trading Brokerage Deciphers True Cause of Asset Flow In and Out of Company Challenge: Understand indicators predicting Transfer of Assets out of the company Using Oracle Infrastructure, could predict customer churn but insights were too late to be actionable. Pivotal Solution includes: Greenplum DB, Chorus, Alpine, Data Sciences Lab Solution: Improved depth of analysis from 2-3 attributes analyzed to 200, on 160M+ records, including external information Identified competitor security breach as true cause of unexplained onboarding spike Improved ability to do market basket recommendations from blanket across all clients to customized at participant level 28
CIBC Android Phone/Tablet Canada s first native Android app and top rated banking app nationally The app now looks and feels so much better, and makes online banking so much less of a chore, but something more natural. Thank you, CIBC. Jeff Vandergoot This banking app is very clean and has the native feeling to Android (really helpful). Map/locate us feature is much improved. Much better than other banks apps on Android. Sameer Mansour The new design and interface makes this app worthy of Android devices. Everything works and makes sense. Thank you, CIBC!!! Mike Angelopoulos Goal 1 st to market with fully Android app Compress timelines, agile delivery Process 4-month delivery and 50% reduction in testing cycles Agile methodology integrated at discrete points Results Record delivery time with top ratings (4-5 stars in Google Play) Currently working on Phase 2 of the project (replatforming middleware stack to optimize omni-channel delivery across phones and tablets) 29
Large Retail Bank Enables Analysis of Unstructured Data to Uncover Root Cause of Internal Fraud Pivotal Solution includes: PHD Challenge: Instance of internal fraud within retail bank required resolution within 3 months Existing environment unable to accommodate analysis on semi-structured, unstructured data sources Solution: HDFS platform will store 3 Months of data, goal to expand for richer analysis on full analytic warehouse across the bank Enable full range and number of SQL queries supporting SAS on HDFS platform Share insights gained between fraud and security divisions 30
Leading Swiss Bank Re-shapes Business to Better Monetize and Regulate Fraudulent Activity with Big Data Pivotal Solution includes: Big Data Suite and Data Labs Challenge: Needed to monetize data around privilege user access and assure security around fraudulent activity Reduce the cost of monitoring privileged user access for regulatory requirements. (currently taking 45 people to do this) Extend across the enterprise to solve business pains around faster data as opposed to just longer looks in Hadoop Solution: Built on top of Big Data Suite to operationalize, automate and extend across the enterprise What took 6 hours should now take less than 1 hour with real time decision-making Capability of monitoring relationship manager s activity with analytics to ensure regulatory compliance 31
Large North American Bank Improves Understanding of Cash-on- Hand Requirements to Better Evaluate Risk Pivotal Solution includes: Pivotal Big Data Suite Challenge: Better understand cash exposure requirements to prepare for catastrophic events Future Basel III regulations require being able to go back in history and account for all data, calculations Building net new systems with new technologies for improved data capture, but uncertainty around deployment requirements Solution: Store more data with unlimited HDFS Flexibility in Big Data Suite usage will allow them to move around requirements and product needs Business will be able to experiment with components within data suite to better leverage technology 32
Major Credit Card and Financial Services Company Brings Software Development In-House with Pivotal Labs Pivotal Solution includes: Pivotal Labs Challenge: Needs help to bring software development, processes and back-end services in-house after years of outsourcing, but lacks experience working with web and mobile applications. The CEO views the company as a platform that delivers services, not as one that facilitates payments, with an aim to disrupt the industry. Increase functionality to users on existing front-end products. Build and expand development organization in a tight timeframe. Solution: Help client develop and deliver products faster using Labs methodology. Teach Labs processes to client, making them more productive and less dependent on others. 33
Why Pivotal? Bold & ambitious vision for the future Focus on time-to value, and getting started quickly Genuine commitment to open source & standards Innovation of a start-up, but with the backing of EMC/VMware Deepest technical talent assembled across Big Data, PaaS, and Agile Easy to work with, advancing new models for pricing, services and support 34
A NEW PLATFORM FOR A NEW ERA