Slide 1: Preliminary Results for the year ended 31 December 2012
WANdisco plc Preliminary Results for the year ended 31 December 2012 25 April 2013
Slide 2: A quick recap on our story
WANdisco A quick recap on our story WANdisco: Wide Area Network Distributed Computing Patented technology addressing a large, global market Leader in tools for software engineers Customers include: HP, Intel, Barclays, John Deere, Honda, Wal-Mart New products released in Q1 2013 that take
Slide 3: Our strategy for growth
Our strategy for growth Five key focus areas Market Share 1 A significant opportunity to grow within existing markets Product Development 2 Targeting new and existing markets and customer groups Big Data 3 Expanding in to this fast growth market with new, ground-breaking products Geographic Expansio
Slide 4: FY 2012 Highlights
FY 2012 Highlights Strong progress in our first year
Slide 5: Sales highlights
Sales highlights Continued strong sales growth Strong sales progress Bookings increased by 71% − $7.917m (2011: $4.618m) Revenue increased by 56% − $6.031m (2011: $3.878m) Deferred revenue increased by 43% − $6.368m (2011: $4.466m) Growth from new customers, existing customers and renewals
Slide 6: Sales breakdown
Sales breakdown FY2012 key sales metrics Number of Type Bookings Value Average Deal Size % Deals New Customers 55 $2,989,749 $54,359 37% Add-on deals 43 $627,321 $14,589 8% Renewals 93 $4,299,930 $46,236 55% Deal total 191 $7,917,000 $41,450 Growth within existing installed base, new customers und
Slide 7: Operational progress
Operational progress Some major milestones met Confirmed our technology leadership - Awarded US Patent for core Active-Active Data Replication technology Extended our lead in to new geographic markets - China office established - WOFE status granted - First China customers secured in the shape o
Slide 8: Strategic acquisitions delivered
Strategic acquisitions delivered Welcoming smartSVN and AltoStor Acquiring in ALM Acquiring in Big Data SmartSVN AltoStor Acquired in September 2012 for $1.0m Acquired in November 2012 for $4.9m of which $1.5m was paid immediately in cash Broadened the Group’s product offering for the ALM mark
Slide 9: Key financials
Key financials Summary FY 2012 2012 2011 Change 31 December $ 000’s $ 000’s % Cash Bookings 7,916 4,618 +71% Deferred Revenue 6,368 4,466 +43% Revenue 6,031 3,878 +56% Adjusted EBITDA (3,002) 150 Net Cash 14,545 74 Financial model continues to deliver strong, consistent bookings growth and good vi
Slide 10: Key financials: four year record
Key financials Four year record 31 December 2009 2010 2011 2012 #039;000 #039;000 #039;000 #039;000 Customer Bookings 2,310 3,080 4,618 7,916 Bookings Growth N/a 33% 50% 71% Revenue 2,476 2,984 3,878 6,031 Revenue Growth N/a 21% 30% 56% Deferred Revenue 3,437 3,726 4,466 6,368 Growth in Deferred Revenue N/a 8%
Slide 11: Key financials: cash flow since IPO
Key financials Cash flow since IPO $ 000’s Pre IPO cash 253 Cash raised from IPO 23,197 Syntevo software purchase (1,000) AltoStor Acquisition (1,500) Cash receipts 3,609 UK Payroll costs (2,374) US Payroll costs (3,572) Operating working capital (1,412) IPO costs (2,656) Cash at year end 14,545 / p
Slide 12: Big Data developments
Big Data developments Significant progress post period end
Slide 13: The Big Data opportunity
The Big Data opportunity A ‘killer app’ for our technology Big Data is a big problem… “Large data sets so big that commonly-used software tools are unable to capture, curate, manage, and process the data within a tolerable elapsed time.” Big Data is a big market… - $50bn by 2017 (Wikibon) - $5bn
Slide 14: The Big Data opportunity: market dynamics
The Big Data opportunity Attractive market dynamics Wikibon’s Big Data market forecast maps almost perfectly to technology adoption S-Curve - 2010 – 2012 much of the revenue generated was via education & services - 2012 – 2014 revenue is crossing to become product-based - Enterprise features such
Slide 15: Unrivalled expertise in Hadoop
Unrivalled expertise in Hadoop Developing Hadoop products with Hadoop architects at the helm Dr. Konstantin Shvachko - Co-founder of AltoStor, acquired by WANdisco - Team member that invented Hadoop at Yahoo in 2006 - Principal Big Data architect at eBay - Hadoop committer and creator of Hadoop Di
Slide 16: Moving in on the opportunity
Moving in on the opportunity From prototypes to first products First WANdisco Big Data products launched to market post period end - Ahead of schedule A full suite of enterprise-ready solutions now in the market - WANdisco Non-Stop NameNode - WANdisco Distro – or ‘WDD’ - WANdisco Hadoop Console
Slide 17: The WANdisco Non-Stop NameNode
Our Big Data ‘flagship’ The WANdisco Non-Stop NameNode 100% uptime based upon WANdisco’s patented replication technology - Zero downtime / zero data loss - Enables maintenance without downtime Automatic recovery of any failed server without administrator intervention Scales as workload increas
Slide 18: First Big Data customer secured
First Big Data customer secured Tier 1 UK telecommunications company A significant customer - Tier 1 UK telecoms operator - Operations are globally distributed Utilising multiple WANdisco Big Data products - WANdisco WDD - WANdisco Non-Stop NameNode Solving a significant business challenge - L
Slide 19: Building a partnership ecosystem
Building a partnership ecosystem 7 new partners in the first month Fusion-io - $1.5bn hardware vendor Hyve Solutions (Synnex) - Fortune 500 hardware provider of servers to Facebook and others SUSE - major operating system vendor Big Data System Integrators partnering for deployments / page 1
Slide 20: Summary and Outlook
Summary and Outlook > WaNDISCO
Slide 21: The year in review
The year in review Our scorecard for FY 2012 US Patent - granted ✔ Built out our offer - Big Data (Acquired AltoStor – products brought forward to Q1 2013) ✔ - Expansion of current product set ✔ - Opened new (cost effective) development centre in Belfast ✔ - Purchased smartSVN technology ✔ Bui
Slide 22: Strong momentum in Q1 2013
Strong momentum in Q1 2013 Bookings and customer progress continued apace Strong sales progress - Bookings increased by 96% • $3.035m (2012: $1.545m) Growth from new customers, existing customers and renewals - 9 new customers (including customers moving from support to product) • General Atomic
Slide 23: Sales Highlights: Q1 2013 key metrics
Sales Highlights Q1 2013 key metrics Number of Type Bookings Value Average Deal Size % Deals New Customers 9 $1,260,990 $140,110 41% Add-on deals 9 $441,115 $49,012 15% Renewals 36 $1,333,120 $37,031 44% Total 54 $3,035,225 $56,208 Huge increase in average deal size for new deals ($54,359 for FY 2
Slide 24: Outlook
Outlook The year ahead Start the year in a strong position - Have seen and continue to see rapid sales growth for our existing ALM product line - Believe there is now increased potential for our Big Data products Continuing to focus on the right initiatives and investments for growth - Investing
Slide 25: WANdisco Introduction
WANdisco Introduction > WaNDISCO
Slide 26: Management Team
Management Team David Richards, Chairman, Chief Executive Officer & Co-Founder: 15+ years in senior management of software technology businesses in Silicon Valley, from start up companies to NASDAQ listed, including the sale of Librados to US NASDAQ listed company, NetManage, Inc. Became GM and SVP
Slide 27: Non-executive Directors
Non-executive Directors Paul Walker served as Chief Executive Officer of The Sage Group Plc from 1994 to September 2010. Paul joined Sage Group Plc as Company Accountant in 1984 and served as its Finance Director until 1994. Paul has been a Non-Executive Director of Experian plc since June 2010 and
Slide 28: Differentiated Technology
Differentiated Technology Previously Thought Impossible 2001-2005 Dr Yeturu Aahlad left SUN Microsystems where he was the distributed systems architect to work on a maths problem: - active:active replication over a wide area network - A wide area network (WAN) is a long- distance communications ne
Slide 29: Differentiated Technology
Differentiated Technology Previously Thought Impossible The eight fallacies of distributed computing say “not possible” 29
Slide 30: Differentiated Technology
Differentiated Technology Previously Thought Impossible By 2005 he had solved the riddle… - 20 pages in the form of a mathematical proof Initially applied to the problem of distributed software engineering teams Same technology now being applied to the Big Data market 30
Slide 31: Market Approach & Competitors
Market Approach & Competitors WANdisco Technology Traditional Approach Peer to Peer Master Slave Every server an exact replica Master (single point of failure) All writes go over the WAN to the Master Slave Slave Slave Local read/write access to each server No single point of failure 31
Slide 32: Distributed Development Problem
Distributed Development Problem From New York From Europe 2 hours 5 hours From China 2-3 days From India 1-2 days From Australia 8 hours Time to to read the SVN Repository 32
Slide 33: Distributed Development Solution
Distributed Development Solution SVN MultiSite Servers at every location 33
Slide 34: Customers
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