Supply Chain Data provides a benchmarking platform for users to discover and share business, competitive and market intelligence.
We integrate globally standardized data and visual analysis tools so users can gain hard-to-uncover business
insights by a few mouse clicks.
Core Values:
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Discovering business, competitive and market intelligence through benchmarking:
By benchmarking companies, industries and regions, businesses, investors and analysts
can discover data-driven insights to support decision making and establish competitive advantages.
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Co-creating and sharing business, competitive and market intelligence:
We accumulate and disseminate collective intelligence by empowering users from around
the world to discover and share their insights.
Analysis Tools:
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GCPS Business GEOINFO: visualization and analysis tools to benchmark regions, such as countries, states and cities.
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GCPS Industry Analysis: visualization and analysis tools to benchmark industries, including industry comparison,
profitability distribution, industry trend and breakdowns, and more.
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GCPS Enterprise Diagnosis: visualization and analysis tools to benchmark companies, including enterprise comparison,
enterprise ranking, enterprise trend, and value driver analysis, and more.
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GCPS Navigator: a visualization tool to identify a company's industry classification and competitors.
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GCPS Supply Chain Mapping: a visualization tool to discover potential customers and suppliers for a company.
Data:
To date, we host cleaned and globally standardized financial and valuation data of 43,000+ enterprises publicly traded on
the world's top 30+ stock exchanges across 6 continents, including
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North America: New York Stock Exchange, Nasdaq Stock Exchange, American Stock Exchange, Toronto Stock Exchange, TSX Venture Exchange, Mexican Stock Exchange.
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Europe: London Stock Exchange, Euronext, stock exchanges at Frankfurt, Berlin, Munich, Hamburg, Deutsche Börse Xetra, Dusseldorf, and Stuttgart,
Madrid Stock Exchange, Nasdaq Stockholm, SIX Swiss Exchange.
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Asia: Hong Kong Stock Exchange, Korea Exchange, National Stock Exchange of India, Shanghai and Shenzhen Stock Exchanges,
Singapore Exchange, Tadāwul or Saudi Exchange, Tokyo Stock Exchange, Taiwan Stock Exchange, Abu Dhabi Securities Exchange, Qatar Stock Exchange,
Kuwait Stock Exchange, Borsa İstanbul, Stock Exchange of Thailand, Bursa Malaysia, Indonesian Stock Exchange, Ho Chi Minh Stock Exchange, Hanoi Stock Exchange.
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Oceania: Australian Securities Exchange, New Zealand Stock Exchange.
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South America: B3 Brazil Stock Exchange.
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Africa: Johannesburg Stock Exchange.
These enterprises are headquartered in more than
100 countries. Data is updated
multiple times a year and thus does not reflect daily changes. Data is subject to changes due to
restating a financial statement, changes in Generally Accepted Accounting Principles – GAAP
(retroactively), changes in reporting entity (change of ownership, M&A, spin-offs, delisting),
changes in the exchanges that enterprises are traded, and changes in industry classification.
Data sources: Annual reports and / or financial statements from the stock exchanges aforementioned.
Data Dimension:
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Industry: Enterprises are classified by a globally standardized industry classification -
the Global Industry Classification Standard 8/31/2016 version. This is a tiered classification,
including 11 Sectors (level 1), 24 Industry Groups (level 2), 68 Industries (level 3),
157 Sub-Industries (level 4). For a complete list of the tiers and their explanations,
please see MSCI and Standard & Poor's websites.
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Region: by country, by state or province (or other administrative divisions), by city or town.
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Organizational form: state-owned enterprise, private enterprise, .... Private enterprises
refer to non state-owned enterprises.
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Reporting year: Enterprise profile and financial data are grouped by the calendar year of the
reporting date. For example, data labeled “2022” has a reporting date between 1/1/2022 and 12/31/2022.
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Key Performance Indicators (KPIs): Enterprises' financial data is presented in a globally unified accounting standard.
Sharing and Collaboration:
As a strong believer in collective intelligence, we provide comprehensive mechanisms for users to collaborate on and share business intelligence,
including a recommendation system, a search engine, co-creation options, comments, cites, and more.
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If you are a beginner, you can quickly learn and master data analysis and interpretation skills through a large number of concrete examples.
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If you are an advanced analyst, you can use your unique perspectives to create new insights or improve others' work, to expand your influence.
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If you need intelligence but have little time, you can obtain intelligence and insights of interest from others without having to analyze the data yourself.
Contact Us:
Questions, comments and suggestions can be sent to us at
admin@SCDATA.ai.
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