q.Datum Data Exchange The marketplace for big data Data is the new - PowerPoint PPT Presentation

q.Datum Data Exchange The marketplace for big data “Data is the new oil of the Internet and the new currency of the digital world .” World Economic Forum 1

Problem: access to big data Data accessed & analyzed Data in organizations 0.5% is growing exponentially This data is locked internally, with 10X no incentive or tools to share it with others, who could use it and 99.5% would pay for it 4.4 ZB 44 ZB 2013 2020 Accessible Not accessible 2 (1 ZB = 1000 6 MB)

Problem: access to big data Currently- Access to data is mostly industry specific, in silos, 3 rd party data • No access to cross-industry, connected, 2 nd party data • 3

Problem: data locked in silos Healthcare Finance Public Research Retail Marketing GOV DATA Das Datenportal für Deutschland 4

What data? what price? Target Price Data type Seller industry year/user Company contacts details (USA) $192K Dun & Bradstreet Cross-industry Financial market data (global) >$20K Bloomberg Finance Custom Web Drug prescribing by practices (UK) $12K Health care Apps Consumer or retail data for $3K Nielsen Academia academia (USA) Email, ZIP, age, gender (USA) $1968 Towerdata Cross-industry Retail companies & executives details $1600 Martec Retail (global) $112 Google PC, Smarthphone & Tablet data Cross-industry (Person to business) Screenwise 5

Solution: Data Exchange Data provider Data consumer Settings $ $ Price Privacy Security Access $ Commission 6

Potential use case 1-2-1: Genomic research solving Cystic Fibrosis $ $ = Genomic research data Paid by consumer = € 50,000 Paid to provider = € 40,000 20% commission = € 10,000 7

Potential use case 1-2-1: Postal data for digital marketing $ $ Companies = details Paid by consumer = € 1,920 Paid to provider = € 1,600 20% commission = € 320 8

Potential use case X-2-X: Telekom data to marketing, traffic & health Dynamic Insights 9

Potential use case X-2-X: Health data to pharma, insurance & marketing 10

Market: assumptions Companies assessed here sell information, not raw data, and run other operations • (mainly marketing) . q.Datum is only facilitating raw big data exchange in a market form and is not a reseller. Companies assessed here have an industry vertical focus. q.Datum is a cross- • industry (‘horizontal’) data exchange : mixing data from different industries and types together brings new insights; the same data used in different contexts (fields, organizations etc.) will have different results. Companies assessed here do not address the full range of the data transactions • q.Datum addresses - no other organization is facilitating the full range of data transactions, not only of B2C data but also B2B, M2M and potentially Person to Business (P2B). Market assessments are based on the data broker industry in the U.S. (the most • developed in the world, and also the only one which current research is available for). 11

Market size Revenues from end-consumer data exchange in digital marketing, in relation to data growth ($B) $3,000 $2,500 $2,000 $1,500 $1,000 $500 $0 U.S. EU 2013 2020 *Total data: 4.4 ZB 2013, 44 ZB 2020 12 *Base: U.S. data broker industry revenue from digital marketing 2012, $156B

Market: data brokers revenues Data brokers revenues 2012-2013 ($B) $5.0 $4.0 $3.0 $2.0 $1.0 $0.0 Experian Equifax GfK D&B TransUnion Acxiom FICO Revenue 2012 Revenue2013 13

Market: revenue growth Data brokers revenue growth 2012-2013 12% 10% 8% 6% 4% 2% 0% Experian Equifax GfK D&B TransUnion Acxiom FICO -2% -4% 14

Market trends The market for exchanging data growing exponentially with the growth of data (from • 4.4 ZB in 2013 to 44 ZB in 2020). Data exchange and trade becomes global : increasing number of data brokers are set • up outside the USA. Data exchange & trade becomes cross-industry : more companies and industries adopt • data exchanging as key for success (e.g. healthcare sector). The growth of data will be driven mostly by the Internet of Things : mobile, machine to • machine interaction (e.g., smart homes) and wearable devices. The Big Data Gap between data produced and data used is growing : this is caused • by a lack of access and sharing of data. 15

Competition Global Cross- Transactions Open Self-Service coverage industry (B2B,M2M, C2B) q.Datum Azure data market SAP Consumer Insight 365 Bluekai Factual 16

Potential clients Public & Data Healthcare Telecom Finance Retail research brokers 17

How is our solution unique Cross-industry data exchange : q.Datum is the only cross-industry data exchange • existing, connecting data providers from any industry to data consumers from any industry. Open exchange controlled by users : q.Datum is the only data market and • exchange where data providers and data consumers control the transactions in a real market form, setting price, privacy & security levels and who can access the data. Future-oriented technology : answering the growing market of Internet of Things data • and its technical need for large, raw data transactions. Use and enhance data before download : q.datum provides data providers and • consumers the ability to connect different data sets and create new data, as well as perform some analysis (‘transformations’) and queries. Quality assurance of data : q.Datum provides quality assurance of the data, making • sure consumers receive data ready for use. 18

Status After Anti-Ebola Pilot: partnering with W.H.O., Red Cross. • On-boarding 6 clients. Mid-stage discussions with 6 others. • Initial discussions with several dozen qualified leads. Business operations in Germany, Poland, Spain, NL. • Setting-up in other EU countries and the US. After seed round • Next round capital target € 300-500K: 1 or more stages, from • several investors, with different coupon sizes. Beta product ready • Release beginning of April • 19

Milestones: business & product Q4 Q5 Q1 Q2 Q3 Q6 Quarter Family & Working Open Scalability Improved Product Friends Prototype Release Improvements Analytics Beta We’re Customers 4 5 9 14 20 27 34 45 55 66 76 87 97 108 here Month 10 11 16 17 18 1 2 4 5 6 7 8 9 12 13 14 15 3 Headcount 2 2 4 5 5 6 7 8 8 9 9 9 9 10 12 12 12 12 3XSales 3XSales VP Sys. COO Reps- Reps- Sales Admin DE,SP,NL UK,IT,FR 2XSales Tech Account New Hires Support Reps-US Manager Sales Back-end Front-end QA Rep-PL Administrator 20 dev. dev.

Financial projections Financial projection 18 months ( € /month) 350,000 € € 300K investment 300,000 € 250,000 € 200,000 € Break-even 150,000 € 100,000 € 50,000 € 0 € 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 -50,000 € Profit\loss Cash flow 21

Go to Market Where? Who? How? Segment 1: Local reps EU Organizations already EU, U.S. etc. U.S. trading data East- Asia Partnerships Segment 2: IT system • South- Organization looking integrators America IT consultancies • to trade data but aren’t 22

Financial needs Capital target: € 300-500K, 1 or more stages, several investors, different • coupon sizes. Capital sourcing: • Angel investors • VC/CVC • Public funding • 23

Use of proceeds Majority goes to international business scaling, as product is in release (April) General Sales and marketing : Sales, Marketing & PR expenses • HR : business development, technical development, marketing • Technical expenses : hosting & processing • R&D : further develop the platform and its features • Operations : office, services (legal & accounting), overhead • 24

Team Elad Leschem – CEO Business development, marketing, financing, strategy. Founded a tech startup. Background in business development and strategic consulting. MBA, LLM, BA Itamar Maltz – CTO 18 years of software development. Founded three companies, focusing on digital marketing and databases. Two successful exits. 25

Team Jose Carlos Diaz – Business development, Spain Business development of q.Datum in Spain. Background in business development, product management, and software engineering. MA business, MA software engineering Andrzey Piotrowski – Business development, Poland Business development of q.Datum in Poland. Background in software engineering and UX/UI design. BA software engineering 26

Team Omri Makover – Business development, Canada Business development of q.Datum in Canada. Background in business development & sales support. MBA Etan Hadaya – Business development, Netherlands Business development of q.Datum in the Netherlands. Background in business development. MBA 27

Team Anda Marin – Business development, Germany Business development of q.Datum in Germany. Background in B2B business development & marketing. BA business management. Anna Eberle – Product management & business development support Supporting q.Datum in business development and product management. Background in online marketing and project management. MA international information management. 28