Only the largest corporations, best-endowed universities, and rich governments can afford data collection and processing capacities that are large enough to harness the advantages of AI.
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The cost of questionnaire-based market research (survey) is increasing exponentially and offers mediocre results without an enormous question bank and harmonization with other surveys.(See 🖱 blogpost) | |
Manual data acquisition is an error-prone and boring task for humans that requires many working hours (often not credited in consultancies, law firms, or research institutes.) | |
Wrangling spreadsheet tables or word processor documents by people without data knowledge is the 🖱 data Sisyphus. |
Reprex is offering shared data ecosystems. Our observatories are great solutions for organizations without a data specialization:
🌳 Organizations that cannot afford to build a large enough data team to sustain consistent, extensive data collection and processing (many large institutions and companies) |
🪴 Who cannot hire even a single data engineer or a data scientist (medium-sized companies, NGOs) |
🌱 Who do not even have a permanent IT function (about 2 million European small enterprises and civil society organizations) |
The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge. | |
We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5) | |
Our observatories are competitive, because they use high-quality open source scientific software; they exploit the new Data Governance Act and Open Data Directive, deploy web 3.0 data synchronization, and offer great value-added research products. |
Platform products | Value added data applications |
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The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge. | The different observatories offer different types of knowledge products, such as statistical yearbooks, various apps, and database access. |
Most of them use web 1.0 technologies, inefficient knowledge accumulation. Already 20 of them have been discontinued. | We are developing software solutions that exploit our platforms: we harmonize surveys, statistical data, automate research reporting, elements of market monitoring or ESG reporting. |
We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5) | Each observatory gives us intimidate customer access to 3-4 large universities, 1-2 large consultancies, and various specialist institutions. |
Buma/Stemra like copyright management agencies, music export offices, festivals and venues, University of Amsterdam, Sant’Anna, Economic University of Bratislava, ministries of culture, grant agencies. | |
University of Amsterdam, Europeana, Sant’Anna, Hungarian Film Fund | |
Connected financial and sustainability reporting: bank consultancies, big four audit companies, large environmental NGOs. | |
Antitrust agencies, law firms, economics consultancies working with mergers and other competition related issues. |
The observatory platforms usually have a build-up cost of about 3-5 million euros and an annual running costs of 0.1-3 million euros. | Some of our basic products are included in the platform service. |
Our existing observatories give us access to the market and public surveying markets (cc 30-40 billion euros in the developed nations), particularly to its software component (about 10 billion euros). | |
retroharmonize integrates pre-existing questionnaire-based surveys and new surveys. It is aimed at large, international survey companies (Kantar, Gfk) and large international survey programs (Eurostat, GESIS). | |
regions improves the granularity of existing market research with ‘small area statistics’. | |
Our existing observatories gave us access to environmental impact assessment and currently we build an ESG reporting tool with a central bank, a value bank, and a big four company. | |
We hope to gain at least 10% global market share on the observatory platform management market to pay our basic data science team and R&D. |
The two co-founders, 🖱 Daniel Antal, CFA and 🖱 Andrés García Molina, PhD, and the core team manage the ecosystems’ development, develop knowledge management, and direct the software development. 🖱 Team on full screen | |
Each observatory has a broader team of users, data and knowledge curators, and developers. The most developed 🖱️ Digital Music Observatory has 16 institutional users and a team of about 20 music and data professionals. The newer observatories have a smaller, initial service development and data curatorial team. |
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LinkedIn: Daniel Antal - Reprex