INTRODUCING: A NEW ENTERPRISE PLATFORM FOR SECURE BIG DATA
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1 INTRODUCING: A NEW ENTERPRISE PLATFORM FOR SECURE BIG DATA Sanjay Mazumder smazumder@veristorm.com Veristorm, 3375 Scott Blvd, Suite 230, Santa Clara, CA
2 Table of Contents 2 1. Mission Statement 2. Management Team 3. Market Opportunity 4. Problem Description 5. Industry Use Case 6. Competitive Advantages 7. Product-Solution 8. Three-year milestones 9. Accomplishments 10. Financial Projection 11. Summary
3 Mission Statement 3 Our mission is to provide enterprise customers with a unified exchange for analytics solutions that leverage big data, reduce the cost of development, and ensure security.
4 4 Our Team Sanjay Mazumder, CEO Founded RiverMeadow Former: Lucent, Telcordia, IBM 17 years in telco, ISPs, MSPs, cloud Anil Varkhedi, CTO Co-founded RiverMeadow Former: IBM, CrossAccess, Unisys, SGI, Tata 25 years in OS, DB, parallel and distributed computing 1 patent, 1 pending Igor Varnava, VP Business Development President V&C Solutions 16 years IT data center, network, security solutions Ed Franklin, EVP Corp. Development Former: Virtustream, Verizon Business, MCI 25 years in telecom, infrastructure mgmt, software and security Yannick Barel, VP Global Sales Former: Dir. IBM Global System z Sales 20 years in IBM System z, BA, Info Management, DB2 Mike Combs, VP Marketing Former: RiverMeadow, IBM, Micromuse, NetScout 25 years in service assurance, cloud
5 $19.3B Market Opportunity 5 Batch Real-time Mainframe Distributed, other $6B Mainframe processing $16.9B Big Data $2.4B Cut batch processing costs $6.6B On Mainframe Linux cloud HPC Appliance Analytics App Exchange
6 6 Problem Description Enterprise platform + Social platforms = Richest Insights Sensitive, Structured Customers, Transactions Semi-public, Unstructured Call Center, Claim System, Social, Mobile Two worlds - silos Distributed big data Mainframe enterprise data Mainframe customer, transaction data essential for analytics Obstacles COBOL, mainframe skills Security, governance
7 Health Care Use Case 7 Problem Solution Benefits Relapses in cardiac patients One size fits all treatment $1M+ Medicare readmission penalties Sensitive patient data on System z VSAM No efficient way to offload Identify risk factors by analyzing patient data* Factors used to predict likely outcomes 31% reduction in readmissions Estimated $1.2M savings in penalties No manual intervention No increase in staffing 1100% ROI on $100K * System z VSAM database requires special skills to access without vstorm
8 Veristorm Competitive Landscape 8 MetaScale BigInsights SyncSort Veristorm Type Service Software Software Virtual Appliance Platform Support x86 x86 / System p x86 / System p All Offloading security risk Yes Yes Yes No Extra hardware Yes Yes Yes No Extra software Yes Yes Yes No Extracts mainframe data/ Complexity Yes Big consulting No Big consulting Software license Yes Proprietary skills Installation time Long Long Long 1 hour Yes Drag and drop
9 vstorm Enterprise 9 z/os DB2 VSAM IMS CP(s) System z Mainframe vstorm Connect Linux z/vm IFL(s) zdoop MapReduce HDFS IFL vstorm Enterprise Simple virtual appliance Drag-and-drop to Hadoop Secure on z Less expensive IFLs No consulting Hire Java skills not legacy COBOL System z Mainframes Used in 71% of Fortune B (60% of all) transactions daily 200+ new footprints since 2011
10 Three-Year Milestones 10 July-Dec 2013 vstorm v1.1 Secure Mainframe Hadoop Q vstorm v2.1 Enterprise Data hub Integrated partners: Analytics, visualization Q vstorm v3.1 Packaged vertical solutions Analytics Application Exchange Marketing IBM Partner, testing, funding IBM resellers 5 event presentations Red Hat, SUSE enablement Services organization Thought leadership Lead gen through partners Thought leadership per vertical Lead gen to targeted verticals One-stop-shop for Big Data analytics customers
11 Accomplishments 11 July: IBM Partnership Global Solutions Directory Validation testimonial Ongoing support from IBM Aug Oct: IBM Development IBM financed test and dev environment IBM funded $120K benchmark Outstanding Results: End-toend test outperforms x86 Oct 21: Presented at IBM Enterprise 2013 IBM-paid participation IBM scheduled customer meetings Nominated for Beacon Award Ongoing: Red Hat, SUSE partnerships Enablement calls for SE specialists Customer webcast planning for EMEA Presence in Red Hat booth at Enterprise 2013 Dec Jan: Presentations SC13 with HPC appliance partner NY zlinux council Hillgang UG -DC area CAVMEN Chicago area NY MVMUA Dec: Customer trials Health Care provider Energy company Flawless setup in less than 1 hour 50-year anniversary video with IBM
12 Financials Revenues 0 4.5M 10M 30M 90M Headcount Average Initial install license $200K : 5 IFLs, 25% discount Capital Investment / Funding roadmap May 2013 $1M raised, 20% of equity Feb 2014 Seeking lead investors and strategic investors for big data, health care, etc.
13 Summary 13 Problem & Solution Big Data needs mainframe enterprise data $16.9B Big Data, $2.4B batch processing = $19.3B market Enterprise analytics marketplace will make moat wider and customers stickier Veristorm Executive team: Winning now through IBM ecosystem Engineering team: Patents, mainframe, big data, cloud expertise Capital Investment Seeking $3M 2 nd Angel Round
14 14 Backup Slides
15 Ecosystem Map 15 Immediate Positioning: Data Management Product: Data hub as virtual appliance Immediate Go To Market thru IBM resellers, for workload optimization and analytics on System z Target Positioning: Consolidator Product: Enterprise Big Data App Exchange One-stop shop for vertical solution templates Marketplace for platform partners Networking Effect
16 Business Model Evolution 16 Q4, 2013 Q3, 2014 Q3, 2015 Data Warehouse DW Appliance Data Warehouse NoSQL DW Appliance Hadoop ETL, Archive Exploratory Sandbox Hadoop ETL, Archive Exploratory Sandbox z/os, Web logs, Social z/os, Sensors, Web logs, Web apps, Social, Cloud, Files, Office docs Data Hub - System z Data Hub - Consume, clean, and integrate data to any analytics platform Application Marketplace - Integrated solutions for vertical markets
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