The marketplace for big data


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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 is growing exponentially

0.5%

10X

4.4 ZB 2013

44 ZB 2020

(1 ZB = 10006 MB)

This data is locked internally, with no incentive or tools to share it with others, who could use it and would pay for it

99.5%

Accessible

Not accessible 2

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

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Problem: data locked in silos Healthcare

Finance

Public

Research

Retail

Marketing

GOVDATA Das Datenportal für Deutschland

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What data? what price? Data type

Price year/user

Seller

Target industry

Company contacts details (USA)

$192K

Dun & Bradstreet

Cross-industry

Financial market data (global)

>$20K

Bloomberg

Finance

Drug prescribing by practices (UK)

$12K

Custom Web Apps

Health care

Consumer or retail data for academia (USA)

$3K

Nielsen

Academia

Email, ZIP, age, gender (USA)

$1968

Towerdata

Cross-industry

Retail companies & executives details (global)

$1600

Martec

Retail

PC, Smarthphone & Tablet data

$112 (Person to business)

Google Screenwise

Cross-industry

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Solution: Data Exchange Data provider

Settings Price

Data consumer

$

$

Privacy Security Access

$ Commission

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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

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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

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

Dynamic Insights

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

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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 crossindustry (‘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).

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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 *Base: U.S. data broker industry revenue from digital marketing 2012, $156B

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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

Revenue 2012

D&B

TransUnion

Acxiom

FICO

Revenue2013 13

Market: revenue growth Data brokers revenue growth 2012-2013 12% 10% 8% 6% 4% 2% 0% -2% -4%

Experian

Equifax

GfK

D&B

TransUnion

Acxiom

FICO

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Market trends •

The market for exchanging data growing exponentially with the growth of data (from



Data exchange and trade becomes global: increasing number of data brokers are set



Data exchange & trade becomes cross-industry: more companies and industries adopt



The growth of data will be driven mostly by the Internet of Things: mobile, machine to



The Big Data Gap between data produced and data used is growing: this is caused

4.4 ZB in 2013 to 44 ZB in 2020). up outside the USA.

data exchanging as key for success (e.g. healthcare sector).

machine interaction (e.g., smart homes) and wearable devices. by a lack of access and sharing of data.

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Competition Global coverage

Open

Transactions

(B2B,M2M, C2B)

Self-Service

Crossindustry

q.Datum Azure data market SAP Consumer Insight 365

Bluekai Factual

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Potential clients Healthcare

Telecom

Finance

Public & research

Retail

Data brokers

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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.

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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

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Milestones: business & product Family & Friends Beta

Product Working Prototype

Customers

Open Release

Q5

Q4

Q3

Q2

Q1

Quarter

Q6

Scalability Improvements

Improved Analytics

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We’re here

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7 8 8 9 9 9 9 10 3XSales VP Sys. COO RepsSales Admin UK,IT,FR Tech 2XSales Account Support Reps-US Manager Front-end Back-end Administrator dev. dev.

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Month

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Headcount 2

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5 3XSales RepsDE,SP,NL

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New Hires Sales Rep-PL

QA

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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€ -50,000 €

0

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Profit\loss

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Cash flow 21

Go to Market Where?

Who?

How?

EU

Segment 1: Organizations already trading data

Local reps

U.S. EastAsia SouthAmerica

Segment 2: Organization looking to trade data but aren’t

EU, U.S. etc.

Partnerships • •

IT system integrators IT consultancies

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

• VC/CVC • Public funding

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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.

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Advisory board Niv Liran Current: Rocket Internet, VP , Global payments and fraud. Past: Groupon, Head of Global Online Payments and Risk; Groupon, Director of product management; Foris Telecom, Director of Billing and CRM. Niv supports q.Datum with business development, strategy, product management and investors relations. Ze’ev Leshem Over 35 years of experience in managing multinational technological activities in CEO positions, from a start-up to public companies. Ze’ev’s experience ranges from international marketing, manufacturing and logistics to fund raising. Current: founder & CEO of a MedTech company in Israel.

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q.Datum Data Exchange

The marketplace for big data

Elad Leschem

[email protected]

de.linkedin.com/in/leschem/

CEO

+49 (0) 174 139 36 94

www.qdatum.io

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