Cirata Plc · LSE:CRTA

Cirata — WANdisco — FY2014 Earnings Presentation

26 slides from Cirata's earnings presentation, Mar 17, 2015

  1. Slide 1: WANdisco plc Preliminary Results

    WANdisco plc Preliminary Results Year ended 31 December 2014 17 March 2015

  2. Slide 2: Highlights

    Highlights David Richards CEO

  3. Slide 3: Highlights

    Highlights Operating platform Big Data customer New Big Data evolving traction product & partners Patented technology Fusion applied to more First 10 Big Data market segments customers British Gas contract Revenue +40% expansion shows Sales bookings +18% scale-up potential Open Data Platform Global

  4. Slide 4: Evolution of WANdisco’s Hadoop products

    Evolution of WANdisco’s Hadoop products ‘Non-Stop’ ‘5 reasons why Hadoop needs WANdisco’ Continuous Availability Continuous Availability Hadoop compatible storage 100% Utilisation More patented Cluster Zoning technology 2nd patent allowed, Multi-Data Centre Ingest January 2015 Underpins Zoning & Sel

  5. Slide 5: Finance & Operations Update

    Finance & Operations Update Paul Harrison CFO 5

  6. Slide 6: Key financials

    Key financials $m 2014 2013 % change Bookings 17.4 14.8 +18% New Big Data customers Deferred Revenue from current & prior year sales 19.3 13.1 +47% Revenue Multi-year subscriptions Sales Bookings inflow Revenue 11.2 8.0 +40% Strong deferred revenue Adjusted Sales and marketing investment (17.9) (7.8

  7. Slide 7: Sales bookings

    Sales bookings ALM Big Data ‹ 51% from new customers shows ‹ Q4 acceleration in deals market potential ‹ Strong early per node pricing ‹ Q4 impact from Big Data focus ‹ Sales leadership and partnership ‹ Realigned sales team for 2015 changes Sales mix ($m) Sales bookings ($m) 5.3 $m 2014 2013 4.4 4.

  8. Slide 8: Big Data Q4 deal metrics

    Big Data Q4 deal metrics 5 key Q4 deals Low Average/Median High Total deal value $160K $410K $750K Initial node count 50 150 250 Term length 1-year 3-year perpetual Price per node per year ($K) 1.0 1.5 2.2 Annual future contract scale-up (customer plans) 15% 55% 130% Averages are simple unweighted a

  9. Slide 9: ALM sales bookings metrics

    ALM sales bookings metrics Bookings Deal Average deal size % of total ALM Deal Type ($m) count ($’000) bookings 2014 2013 2014 2013 2014 2013 2014 2013 New subscriptions 7.5 5.8 46 49 162 118 51% 40% Add-on deals 4.0 1.0 54 33 74 31 28% 7% Renewals 2.8 7.2 68 73 41 98 19% 49% SmartSVN 0.3 0.6 2% 4%

  10. Slide 10: Revenue

    Revenue ‹ Deferred revenue up 47% to 2014 revenue came from… $19.3m Deferred from sales up to 2012 $1.5m 13% Deferred from 2013 sales $4.8m 43% ‹ Revenue up 40% to $11.2m 2014 sales bookings $4.9m 44% ‹ Multi-year deals added large ALL $11.2m 100% deferrals ‹ $8.5m of deferred revenue for 2015 31 De

  11. Slide 11: Costs aligned with Big Data & ALM strategy

    Costs aligned with Big Data & ALM strategy ‹ Overheads largely 1.0 1.2 Cost of sales unchanged from H1 to H2 ‹ Big Data go to market 13.5 13.4 Overheads investment continues ‹ Investments partly offset by cost savings 4.2 4.8 Capitalised R & D H1 H2 Costs and headcount, 2014 Cost ($m) Closing Headco

  12. Slide 12: Cash flow

    Cash flow Working 31 Dec 31 Dec Cash Flow ($m) change capital ($m) 2014 2013 Receivables 13.4 10.5 2.9 EBIT (39.9) Depreciation & Payables (3.2) (2.7) (0.5) 8.6 amortisation Deferred Share based (19.3) (13.1) (6.2) 13.3 revenue payments Net working Net working (9.1) (5.3) (3.8) 3.8 capital capital c

  13. Slide 13: Equity and debt funding

    Equity and debt funding Debt Equity ‹ $26m cash inflow net of fees (post year-end) ‹ $10m revolving credit with HSBC ‹ Share count increased from 24m ‹ Announced August 2014 to 29m ‹ Available to 31 March 2017 ‹ Placing price 375p ‹ Not utilised to date ‹ New shares traded from 18 February 15 UK and

  14. Slide 14: Financial Summary

    Financial Summary Sales Bookings ‹ Further sales bookings growth ‹ First Big Data sales with expansion potential ‹ New Open Data Platform pipeline at early stages Revenue ‹ Revenue - strong growth ‹ Deferred revenue - strong growth, positive working capital impact Costs & Funds ‹ Cost efficiencies -

  15. Slide 15: Strategic Update

    Strategic Update David Richards CEO 15

  16. Slide 16: Milestones

    Milestones Product Partners Trials Live Production Non-Stop Distribution & Embarked on Significant Hadoop infrastructure Production Customer early adopters partnerships Trials Wins Financial, Consumer, Industrial Technology ‘land’ ‘expand’ Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 16

  17. Slide 17: High data growth accelerating the market

    High data growth accelerating the market ‹ Over 1,500 customers now The ‘Storage Gap’ subscribe to Hadoop distributions Digital Storage 60% annual growth ‹ Hortonworks and Cloudera customers reached over 850 by December 2014 ‹ Market moving from experimental IT Budgets to live phase 5% annual growth

  18. Slide 18: Momentum in Big Data deals…

    Momentum in Big Data deals… Across a broad spread of industries Growing deal volumes Broad industry spread Consumer Goods 3 Financial Services 3 Utilities 1 Information Technology 1 Q1 Q2 Q3 Q4 Healthcare 1 Includes both British Gas deals: initial (Q1) & expansion (Q4) British Gas: two deals but cou

  19. Slide 19: Customer wins

    Customer wins December December Continuous Availability Continuous Availability Cluster Zoning Cluster Zoning Multi-Data Centre Ingest Global Credit Cards November US Retail Bank December Continuous Availability Continuous Availability Cluster Zoning 100% Utilisation Multi-Data Centre Ingest Selecti

  20. Slide 20: Global bank customer win

    Post-year end Global bank customer win Continuous Availability Step 1 UK-to-UK data centre replication 100% Utilisation Cluster zoning Step 2 Cluster zoning UK-to-Asia data centre replication Multi-data centre ingest Step 3 Selective Replication - source data kept in Selective Replication national j

  21. Slide 21: Contract expansion with growing data

    Contract expansion with growing data Further adoption of ‘HBase’ streaming of Refining segmentation of household smart meters digital messages 700 million shoppers Hadoop applied to wider IT Growing unstructured More analysis products, estate content e.g. automated pricing US US Global Retail Bank R

  22. Slide 22: Fusion for the Open Data Platform

    Non-stop Hadoop evolves Fusion for the Open Data Platform Cross-platform product Commercial benefits Single access and Seamless use of multiple consistency across all distributions Hadoop-compatible storage Enables migration Standard Hadoop between storage APIs vendors Range of data stores Easy inst

  23. Slide 23: Joining the Hadoop Open Data Platform

    Joining the Hadoop Open Data Platform ‹ Industry leaders promoting Hadoop ‹ WANdisco is a founding member of the ODP (invited by EMC) ‹ Accelerates application delivery with common and consistent core ‹ Interchangeable components free customers from vendor lock-in ‹ Expands our market of potential a

  24. Slide 24: ALM

    ALM New customers in a growing market New blue chip customers ‹ New customer sales bookings up 29% ‹ Q4 sales impacted by diversion of sales resource to Big Data Expanding source code management ‹ Last year’s multi-year deals impacted this year’s renewals ‹ Customers staying with us through changes

  25. Slide 25: ALM ‘SmartSVN’ webstore business

    ALM Towards profitability ‹ Growth potential as market moves to new Open Source tools ‹ Realigned ALM sales force for 2015 ‹ Current sales opportunities require little new product development ‹ Cost reduction by exiting ‘SmartSVN’ webstore business ‹ Critical mass enables move towards profitability

  26. Slide 26: 2015 Goals

    2015 Goals ‹ More Big Data deals from production trials pipeline ‹ Scale-up of existing Big Data contracts ‹ WD:Fusion frees enterprises from Hadoop vendor lock-in ‹ Big Data Partner ecosystem beyond Hadoop distributors ‹ ALM moves towards profit 26

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