Cirata Plc · LSE:CRTA
Cirata — WANdisco — H1 2014 Earnings Presentation
24 slides from Cirata's earnings presentation, Sep 18, 2014
Slide 1: Interim Results six months ended 30 June 2014
WANdisco plc Interim Results six months ended 30 June 2014" 18 September 2014"
Slide 2: Highlights
Highlights" Sales & Operational" Strategic Big Data customer wins" Big Data production trials at advanced stages" ALM sales bookings up 19% - new customers and up-selling" Financial" Sales Bookings increased 21% to $7.4m " Investment in sales & product – adjusted EBITDA loss $9.5m" New $10m credit f
Slide 3: ALM: New products for a growing market
ALM New products for a growing market" ◆ Increasing need for control & scale in distributed development" ◆ Increasing adoption of open source version control, displacing proprietary software (IBM & MSFT)" ◆ Adoption of open source Git by bigger development teams " " Customers moving to new products
Slide 4: ALM continues to deliver high growth
ALM continues to deliver high growth Sales and adoption momentum continues" Continued addition of new blue chip customers Customers expanding scope of source code management 86% renewal rate 19% growth in ALM sales bookings 4
Slide 5: Non-Stop is critical in Big Data
Non-Stop is critical in Big Data Figure*19* **Responses*were*weighted*and*scored*for*relative*occurrence.* * Validation from Wikibon and 451 Surveys, * * June 2014 PRELIMINARY*ANALYSIS*,*FOR*INTERNAL*USE*OF*WIKIBON Specific*to*Hadoop,*the*most*influential*concerns*preventing*practitioners*from*movin
Slide 6: Supported with key enterprise capabilities
Supported Supported withwithKEY KEY Enterprise Enterprise Capabilities Capabilities EY Enterprise SupportedCapabilities with KEY Enterprise Capabilities Non-Stop Supported Data Center Data with Requirements Center Big KEY Requirements Data Enterprise marketCapabilities s Apache DataHadoop Apache has
Slide 7: Progress with early Big Data customers
Progress with early Big Data customers " British Gas Cost-efficient customer analytics Opportunity Real-time smart meter analytics to improve service Hadoop brings" Data center cost saving – consolidated customer data WANdisco ensures" Full hardware utilisation - smart meter data always on UCI Healt
Slide 8: Customers trialling Non-Stop Hadoop
Customers trialling Non-Stop Hadoop" u Prospects devoting time, hardware resources & data center space - full production environment" u Non-Stop critical for taking Hadoop into live production" " " u Opportunities have expanded in scope and scale as they have progressed" " u Business drivers" -
Slide 9: Understanding customers, protecting customers
Big Data production trial case study Understanding customers, protecting customers " UK-based international " retail bank " " Business Targeting of financial products using " challenge" more complete customer intelligence" " Real-time risk management including fraud prevention" Hadoop Consolidating
Slide 10: Controlling the spread of disease
Big Data production trial case study Controlling the spread of disease" Government public " safety program" Challenge" Predicting epidemics and pandemics before they happen" " Disease data captured but not analysed" Hadoop " Health, environment & tracking data brings…" from hospitals, energy supplie
Slide 11: Managing insurance risk
Big Data production trial case study Managing insurance risk" Global property " and casualty insurer" Business Inaccurate risk-predicting variables challenge & inflating claim costs" opportunity" " Unstructured data predicts risk more accurately - half of the data load " Hadoop " Unstructured data f
Slide 12: Insights from connected devices
Big Data production trial case study Insights from connected devices" Consumer Electronics:" The ‘Internet of Things’" Business Insight into device usage across " opportunity" all media & products " " Consumers offered unprecedented storage capacity " Hadoop " Data capture from a range of devices" "
Slide 13: WANdisco Big Data products
WANdisco Big Data products Responding to customer requirements" Customer requirements Disaster recovery Distributed data ingest Hardware optimisation Real-time analytics Enterprise-ready Hadoop & HBase Non-Stop Hadoop with Non-Stop NameNode New Non-Stop Hadoop 1.9.6 Non-Stop HBase for real-time stre
Slide 14: OhmData acquisition
OhmData acquisition Accelerating HBase go-to-market" OhmData HBase Acquired for $2.1m including post-acquisition share awards contingent on performance HBase community committers and leaders Like an endlessly scalable spreadsheet Patented HBase IP Best-practice transactional database Follows Altosto
Slide 15: Extended channel reach and effectiveness
Extended channel reach and effectiveness " Distributors established Certification against latest as primary channel distributor releases Non-Stop hardware Tight interoperability utilisation scales up demonstrated to prospects solution value Large corporate investments in distributors fund the market
Slide 16: Key financials
Key financials " $m H1 H1 % FY" 2014 2013" change" 2013" New & expanded" Bookings" 7.4" 6.1" +21%" 14.8" ALM subscriptions" Multi-year" Deferred 15.5" 9.0" +73%" 13.1" bookings" Revenue" Reflects strong" Revenue" 5.0" 3.5" +43%" 8.0" deferred revenue" Sales and engineering investment" Adjusted (9.5)
Slide 17: Sales Bookings metrics
Sales Bookings metrics ALM "ALM Deal Type" Deal" Bookings" Average deal % of total Annualised" excluding e-commerce" count" Value ($m)" size ($’000)" bookings" Value ($’000)" H1" H1" H1" H1" H1" H1" H1" H1" H1" H1" 2014" 2013" 2014" 2013" 2014" 2013" 2014" 2013" 2014" 2013" New subscriptions" 26" 27
Slide 18: Sales Bookings breakdown
Sales Bookings breakdown " ALM is the majority of bookings" ◆ ◆ Strong growth – new multisite & access control products" ◆ More enterprise deals - global corporations" H1 H1 $m" 2014 2013" ALM" 7.1" 5.9" Big Data" 0.3" 0.2" ALL" 7.4" 6.1" ◆ Early stage subscriptions" ◆ All have expansion potential"
Slide 19: Deferred revenue
Deferred revenue" Release of 30 June 2014 deferred revenue $m 1.2 1.7 4.2 H2 2014 2015 2016 2017 3.2 2018+ 5.2 ◆ Up 73% to $15.5m" ◆ Multi-year deals from H1 2014 and FY 2013 added large deferrals" ◆ Provides $5.2m of revenue for 2015 " ◆ Increasingly predictable revenue stream" " 19
Slide 20: Cash flow
Cash flow " $m" $m" $m" Cash flow from Net cash at EBIT" (18.5)" (6.9)" 25.7" operations" 1 Jan 2014" Depreciation & Net cash 3.7" (11.4)" amortisation" invested" Share-based Net capital 5.3" (0.3)" payments" expenditure Net working Employee options 2.5" 0.3" capital change" exercised" Currency Prod
Slide 21: New HSBC credit facility
New HSBC credit facility " ◆ $10m revolving credit with HSBC ◆ Available to 31 March 2017 ◆ To finance Big Data investment ◆ Interest rate 1.2% above LIBOR ◆ Based on recurring revenue quality ◆ Currently undrawn ◆ Diversifies financing options 21
Slide 22: Headcount aligned with Big Data strategy
Headcount aligned with Big Data strategy" Headcount ALM Big Data Sales & Customer Admin- H1 2014 TOTAL Product Product Marketing Support istration (H1 2013) Americas 2 (2) 15 (7) 25 (19) 2 (0) 0 (0) 44 (28) EMEA 26 (35) 24 (1) 6 (5) 18 (14) 10 (10) 84 (65) APAC 0 (0) 0 (0) 4 (1) 1 (0) 0 (0) 5 (1) Ce
Slide 23: 2014 progress summary
2014 progress summary " New Products Channel partnerships ü Non-Stop Hadoop with new features ü Cloudera and Hortonworks pipelines arising from customer feedback expanded ü Git & Subversion upgrades & ü Oracle Big Data partnership established enhancements ü Updated partner certifications & ü O
Slide 24: Outlook
Outlook " ◆ ALM business maturing well, becoming more efficient" ◆ Global corporations taking Hadoop very seriously" ◆ Opportunities are enlarging, causing production trials to take more time" ◆ Our products are very responsive to customer feedback" ◆ Orienting our sales and marketing to Big Data us