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

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

Apr 20, 2023 229 likes •546 views

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

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“Data is the new oil of the Internet and the new currency of the digital world.”

World Economic Forum

q.Datum

Data Exchange

The marketplace for big data

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Problem: access to big data

44 ZB 2020 4.4 ZB 2013

10X

(1 ZB = 10006 MB)

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

0.5% 99.5% Accessible Not accessible

Data accessed & analyzed

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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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Healthcare Finance Public Research Retail Marketing

Problem: data locked in silos

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 5

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Solution: Data Exchange

Data provider Data consumer

$ $

Privacy Security Access Price

Settings

$ Commission

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Potential use case 1-2-1: Genomic research solving Cystic Fibrosis

Paid by consumer = €50,000

Genomic research data

=

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 to provider = €1,600 20% commission = €320

$ $

Paid by consumer = €1,920

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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 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).

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Market size

*Total data: 4.4 ZB 2013, 44 ZB 2020 *Base: U.S. data broker industry revenue from digital marketing 2012, $156B

$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 U.S. EU

Revenues from end-consumer data exchange in digital marketing, in relation to data growth ($B)

2013 2020

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Market: data brokers revenues

$0.0 $1.0 $2.0 $3.0 $4.0 $5.0 Experian Equifax GfK D&B TransUnion Acxiom FICO

Data brokers revenues 2012-2013 ($B)

Revenue 2012 Revenue2013

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Market: revenue growth

  • 4%
  • 2%

0% 2% 4% 6% 8% 10% 12% Experian Equifax GfK D&B TransUnion Acxiom FICO

Data brokers revenue growth 2012-2013

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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.

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Competition

Global coverage Open Transactions

(B2B,M2M, C2B)

Self-Service Cross- industry

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

  • Beta product ready
  • Release beginning of April
  • After seed round
  • Next round capital target €300-500K: 1 or more stages, from

several investors, with different coupon sizes.

  • 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.

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Milestones: business & product

Q1 Q2 Q3 Q4 Q5 Q6

Quarter Product Customers Headcount New Hires Working

Prototype Family & Friends Beta Open Release Scalability Improvements Improved Analytics

1 2 4 6 7 8 9 10 11 12 13 14 15 16 18 17 3 5

4 5 9 14 20 27 34 45 55 66 76 87 97 108 12 12 12 12 10 9 9 9 9 8 8 7 6 5 5 4 2 2 QA VP Sales Month Account Manager 3XSales Reps- DE,SP,NL 3XSales Reps- UK,IT,FR Back-end dev. Front-end dev. Sys. Admin Tech Support Administrator We’re here COO Sales Rep-PL

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2XSales Reps-US

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  • 50,000 €

0 € 50,000 € 100,000 € 150,000 € 200,000 € 250,000 € 300,000 € 350,000 € 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

Financial projection 18 months (€/month)

Profit\loss Cash flow

Financial projections

€300K investment Break-even

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Go to Market

Where? Who? How?

EU Segment 1: Organizations already trading data Segment 2: Organization looking to trade data but aren’t Partnerships

  • IT system

integrators

  • IT consultancies

Local reps

EU, U.S. etc.

U.S.

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East- Asia South- America

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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

  • 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

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Majority goes to international business scaling, as product is in release (April) General

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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.

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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

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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

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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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Elad Leschem CEO elad.leschem@qdatum.io

+49 (0) 174 139 36 94

de.linkedin.com/in/leschem/ www.qdatum.io

q.Datum

Data Exchange

The marketplace for big data

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