Slide 1: Preliminary Results for the year ended 31 December 2013
WANdisco plc Preliminary Results for the year ended 31 December 2013 20 March 2014
Slide 2: 2013 – Strategic Update
2013 – Strategic Update David Richards – CEO Powering Big Data
Slide 3: Highlights
Highlights u Financial - Bookings increased 86% year-on-year to $14.7m. - Net cash of $25.7m following successful equity placement u Operational - Early Big Data wins secured validating our Big Data technology and offering - WANdisco established as the unique continuous availability layer in Cloude
Slide 4: UC Irvine Health: Saving lives with Big Data
UC Irvine Health Saving lives with Big Data Provides UCI with continuous availability of data through its unique Non- Stop technology. Enables UCI digitally to collate, store and analyze all data relating to its WANdisco secures patients’ conditions in real time, allowing staff to reduce considerably
Slide 5: Starting with some context
Starting with some context Why is Big Data happening? Let’s take Healthcare u Siloed information u No single picture u Not interoperable u Impossible to run queries 5
Slide 6: Unification through Hadoop
Unifi fic cation through Hadoop 6 / page 6
Slide 7: British Gas: Powering next generation data centers
British Gas Powering next generation data centers Ø WANdisco secures Non-Stop Hadoop test deployment with British Gas • Solution will provide British Gas with continuous availability across its next generation data centres. • Reduce data storage costs and enable mission critical applications to be
Slide 8: Why now for WANdisco?
Why now for WANdisco? Inflection point: Hadoop 2.0 u Very simply - Hadoop 1.0 = cheap storage and batch processing • Twitter, Facebook, LinkedIn, etc. • Disruption for storage vendors like Teradata u Hadoop 2.0 = real-time data processing - Platform for cloud applications - Continuous availability
Slide 9: The next phase in a paradigm shift
The next phase in a paradigm shift A transition in enterprise software we have seen before u The average lifespan of enterprise software in 10 – 15 years - The last major platform / architecture shift happened in the late 90s - Legacy architectures were exposed in terms of scalability, availability
Slide 10: Our response: A busy year!
Our response A busy year! partnership Tier 1 UK Telco becomes first Big partnership Data Customer OEM agrees to agreement utilise in China WANdisco with AltoStor Big Data Miaozhen acquisition Big Data Solutions Product Launched Customer trials Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Slide 11: Channel and partner choice
Channel and partner choice Our ecosystem and its potential u Partnering with the dominant market leaders in Hadoop - 90% of the Hadoop distribution market - Blue chip customer base - Need for Continuous Availability u Hortonworks - Signed September 2013 - Pipeline developed - Early customer wins w
Slide 12: ALM continues to deliver high growth
ALM continues to deliver high growth Sales and adoption momentum continues u 84% growth in bookings u Key product releases in year - Subversion MultiSite Plus, Git MultiSite u Continued attraction of blue chip customers - ASML Holding, Goldman Sachs, H3C Technologies, Manulife Financial Corporati
Slide 13: 2013 Report Card
2013 Report Card Delivering on our commitments u Built out our offer ✔Launched and sold Big Data product ahead of schedule ✔ Product certified for Cloudera and Hortonworks distros ✔ HBase Big Data product launched ✔ Released new version of Subversion MultiSite Plus, Git MultiSite u Developed Hadoop
Slide 14: 2013 Financial and Operational Update
2013 Financial and Operational Update Paul Harrison – CFO
Slide 15: Key financials
Key fi finnancials Summary FY 2013 FY 2013 FY 2012 31 December Bookings $14.8m $7.9m Deferred Revenue $13.1m $6.4m Revenue $8.0m $6.0m Adjusted EBITDA $(7.8m) $(3.0m) Net Cash $25.7m $14.5m u 56 new customers including ADP, Blue Cross Blue Shield, Canon, Cisco, Goldman Sachs, H3C Technologies, Manu
Slide 16: Bookings breakdown
Bookings breakdown FY 2013 key bookings metrics Number of Bookings Value Average Deal Size Mix Type Deals $’000 $’000 % New customers 56 6,370 114 45% Total installed 103 7,931 77 55% base Add-on deals 33 1,354 41 10% Renewals 70 6,577 94 45% ECommerce 455 Deal total 159 14,756 n/a 100% u Average n
Slide 17: Bookings breakdown by market
Bookings breakdown By market and early economics of Big Data FY 2013 FY 2012 $m $m ALM 14.53 7.92 Big Data 0.23 - 14.76 7.92 u Early Big Data implementations - Testing phase - Live and critical rollouts – e.g. British Gas, UCI Health - Controlled environment e.g. specific division, function - Scope
Slide 18: KPIs
KPIs 1. Annualised value of bookings (AVB) +45% 2. Release of 2012 Release of 2013 deferred deferred revenue revenue 2013 2014 2014 2015 2015 2016 2016+ 2017+ 18
Slide 19: Cash flow
Cash fl floow Accelerated investment into Big Data $m $m $m EBIT (20.0) Cash flow from (11.6) Net cash at 1 Jan 14.5 operations 2013 Depreciation / 5.1 Net capex (7.7) Net cash invested (19.3) amortisation Share based 5.8 Share placing 29.7 payments funds Working capital (3.3) Employee option 0.6 ch
Slide 20: Headcount breakdown
Headcount breakdown By function At 31 Dec At 31 Dec 2013 2012 Sales 31 14 Marketing 8 6 Engineering: 75 51 Support 13 6 By geography Product Management 5 2 At 31 Dec At 31 Dec Finance, HR & Admin 15 11 2013 2012 147 90 UK 83 57 Average 124 68 North America 59 31 RoW 5 2 147 90 20
Slide 21: Summing up
Summing up u Continue to attract talent – engineering and sales u Investment to continue in 2014 u Strong cash position 21
Slide 22: Summary and Outlook
Summary and Outlook > WONDISCO
Slide 23: Key takeaways
Key takeaways u Very strong progress in 2013 - We have done what we said we would do – and more - Proved our technology is core to Hadoop deployments - Established partnerships with two key distributors u Big Data opportunity translating into revenue - Early adoptions coming through - Blue-chip, i
Slide 24: Outlook
Outlook u Success in 2014 is…… - Establishing momentum in Big Data – it has clearly started - Signing more enterprise customers - Establishing market wide acceptance of the need for continuous availability - Continued momentum in ALM 24