Ascendio Co., Ltd. · KRX:012170
Ascendio — Series A Pitch Deck (2017)
12 slides from Ascendio's pitch deck, 2017
Slide 1: Ascend Enterprise Intelligence Platform
ASCEND ENTERPRISE INTELLIGENCE PLATFORM Poe eee
Slide 2: Sean Knapp, CEO; Steven Parkes; Dan Gordon
Sean Knapp, CEO Co-founder, CTO & CPO @ Ooyala ('07-'15) Led 200 person R&D org through $60M+ growth Architected 4 generations of big data platforms Orchestrated the $410M acquisition by Telstra Web Search Frontend Lead @ Google ('04-07) B.S. & M.S. in Computer Science from Stanford Steven Parkes, H
Slide 3: The Big Data Opportunity
THE BIG DATA OPPORTUNITY @ Lookout ” $275.5M" "Savi Series 8. C $67.5M ® altiscale Senes A 8 $42M causata $15.5M Msc clouders Gsumologic GW Couchbase snwnbie Series 8, C.D. EF $150M S14iM.—SC«S 140M $139M $81.7M Qubit. AMOBEE «> OP@WER >krux “Seem “354M “S51M_ $SOM “S48M Yomoxra = Q RelatelQ = Origa
Slide 4: As more organizations invest in big data, skills shortage will grow
66 AS MORE ORGANIZATIONS INVEST IN BIG DATA, THE SHORTAGE OF AVAILABLE SKILLS AND CAPABILITIES WILL BECOME Oi 9g - Gartner Big Data Survey, Sep 2015
Slide 5: Common Challenges
COMMON CHALLENGES “When using big data technology, things always take 10x longer.” “The technologies are changing too fast and our teams don't understand them.” “| have hundreds of engineers that understand SQL, and none that do Scala.” “My Data Scientists are constantly being abused as Data Analyst
Slide 6: History Tells Us
HISTORY TELLS US F COMPLEX TECHNOLOGIES GO MAINSTREAM a ia WHEN THEY ABSTRACT AWAY THE COMPLEXITY AND BECOME ACCESSIBLE EXAMPLES * Operating Systems: Windows, iOS * Databases: Oracle % * Applications: Excel, Powerpoint @ ‘ * Cloud: AWS - Experts Mainstream ASCEND’S BET * Early adopters are finding m
Slide 7: Ascend Targets
ASCEND TARGETS Company Fortune 2000 Cloud friendly Existing investments in data micuety Media - Consumer Retail Finance loT Buyer * Role - CIO/CTO/CDO/VPE - LoB head * Pressures Lack of big data experts Too many pending projects Migrating to cloud Scaling data volumes from traditional systems - Futu
Slide 8: The Ascend Platform
THE ASCEND PLATFORM Ascend allows your team to focus on your business, while we automate the technology. » Business Logic data sources Error Recovery ~ Data Storage Data Partitioning Trigger Downstream
Slide 9: How Ascend Works
HOW ASCEND WORKS Data Modeling Interface Users define business logic as higher-level models, called the Declarative Data Graph w Automation Engine Ascend monitors for changes in data, translating business logic into new underlying tasks a & > ~ «. t a Distributed Workers B Execute tasks and orchestr
Slide 10: Competitive Advantages
COMPETITIVE ADVANTAGES BUSINESS Remove need for big data expertise Reduce project times by up to 90% Capture canonical knowledge for entire org Drive collaboration across teams Leverage existing big data investments TECHNICAL * Automated Big Data Operations: “design once, run forever” * Non-Disrupti
Slide 11: Landscape
LANDSCAPE Category Bl & OTHER TOOLS Domo, Tableau BIG DATA ORCHESTRATION TOOLS Cask, StreamSets OPEN SOURCE BIG DATA ECOSYSTEM Cloudera, Qubole, Databricks CLOUD Amazon, Microsoft, Google Ascend Viewpoint Partners that sit downstream from Ascend. Strong lessons to be learned from this industry. A na
Slide 12: Big Data Is Such a Cluster
BIG DATA IS SUCH A CLUSTER SEE LIFE FROM THE TOP OF THE STACK WITH ASCEND.IO CP ASCEND.IO