49 datasets found
  1. Leading financial centers worldwide 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Leading financial centers worldwide 2025 [Dataset]. https://www.statista.com/statistics/270228/top-financial-centers-on-the-global-financial-centres-index/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Worldwide
    Description

    As of September 2024, New York ranked as the world's most attractive financial center, earning a score of *** on a comprehensive financial center rating index that considers multiple factors. London followed closely in second place with a rating of ***. What are financial centers? A financial center is a city or region that serves as a strategic hub for the financial industry, bringing together banks, trading firms, stock exchanges, and other financial institutions. These hubs are typically distinguished by strong infrastructure, a stable regulatory and political environment, favorable taxation policies, and ample opportunities for business and trade growth. According to a 2024 survey of financial services professionals, the key factors influencing a financial center's competitiveness were the business environment, human capital, and infrastructure. Financial centers by region According to the Global Financial Centers Index, the most attractive financial hubs in North America are New York, San Francisco, and Chicago. In Latin America and the Caribbean, Bermuda, the Cayman Islands, and Sao Paulo received the highest scores. When financial sector professionals were asked which financial centers were likely to become more significant in the next years, they pointed to Seoul, Singapore, Dubai.

  2. Leading financial centers in North America 2025

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). Leading financial centers in North America 2025 [Dataset]. https://www.statista.com/statistics/380610/leading-financial-centers-north-america/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    North America, Canada, United States
    Description

    A survey conducted in early 2025 ranked New York as the top financial center in North America. The ranking is based on an index that incorporates a range of factors, including business environment, human capital, taxation, and infrastructure. New York earned a score of 769 points, followed by San Francisco in second place with 749 points.

  3. Leading financial centers in Western Europe 2024

    • statista.com
    Updated Jun 22, 2025
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    Statista (2025). Leading financial centers in Western Europe 2024 [Dataset]. https://www.statista.com/statistics/381170/leading-financial-centers-western-europe/
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    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Europe
    Description

    London was the most attractive financial center in Western Europe as of September 2024. According to five broad areas of competitiveness that the ranking was built on (business environment, human capital, infrastructure, financial sector development, and reputation), London received *** points. Frankfurt ranked second, with a rating of ***. According to the Global Power City Index (GPCI), London was also the most attractive city worldwide for its economy, research and development, cultural interaction, livability, environment, and accessibility. Financial employment in the UK In 2022, the value added in the finance and insurance services sector in the United Kingdom as a percentage of total GDP was one of the largest in Europe. However, total employment in the financial services sector overall decreased since 2008. The mean weekly wage of full-time employees in the financial and insurance sector also dropped and never recovered from a sharp decrease in 2018. Largest European financial institutions In 2023, HSBC topped the list of the largest European banks in terms of total assets. With more than *** trillion U.S. dollars, the UK-based giant ranked before BNP Paribas, the largest banking institution in France.

  4. Leading ten financial centers APAC 2020, by city

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Leading ten financial centers APAC 2020, by city [Dataset]. https://www.statista.com/statistics/380608/leading-financial-centers-asia-pacific/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2020
    Area covered
    Asia–Pacific
    Description

    In 2020, Shanghai proved to be the most attractive financial center in the Asia Pacific region, scoring *** points in the Z/Yen report. Comparatively, Melbourne scored *** points in the financial center ranking in 2020 to close off the top ten. The private institute Z/Yen has constructed an index for financial center rating, in which a multitude of factors are integrated. Important areas of competitiveness are, among others, business environment, human capital, taxation and infrastructure.

  5. Leading financial centers in Latin America 2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Leading financial centers in Latin America 2024 [Dataset]. https://www.statista.com/statistics/370365/leading-financial-centers-latin-america/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    LAC, Latin America
    Description

    According to a survey carried out in 2024, Sao Paolo was the most attractive financial center in Latin America and the Caribbean in 2024, with a score of ***. The Cayman Islands and Bermuda followed, with *** and *** points, respectively. The ranking is based on an index where a multitude of factors are integrated. Important areas of competitiveness are, among others, business environment, human capital, taxation and infrastructure.

  6. d

    Network Data for Polyarchy and Financial Centres Paper

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Michael, Bryane (2023). Network Data for Polyarchy and Financial Centres Paper [Dataset]. http://doi.org/10.7910/DVN/MVQTOI
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Michael, Bryane
    Description

    These files contain the data we used to analyse networks of cross-border bank liabilities among the top international financial centres (as ranked by Z/Yen).

  7. Crucial factors for global financial center competitiveness 2024

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Crucial factors for global financial center competitiveness 2024 [Dataset]. https://www.statista.com/statistics/291685/most-important-factors-global-financial-centres-index/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Worldwide
    Description

    According to a survey conducted in 2024, the business environment was identified as the most important factor for the competitiveness of global financial centers. Respondents were asked to rank the factors they considered most crucial for a financial center's competitiveness. The business environment received *** mentions, making it the top factor, followed closely by human capital, with *** mentions.

  8. Leading financial centers in the Middle East and Africa 2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Leading financial centers in the Middle East and Africa 2024 [Dataset]. https://www.statista.com/statistics/380616/leading-financial-centers-middle-east-and-africa/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Middle East, MENA, Africa
    Description

    In 2024, Dubai was the most attractive financial center in the Middle East and North Africa (MENA) region with a Global Financial Centres Index score of *** points. The private institute Z/Yen has constructed an index for financial center rating, in which a multitude of factors are integrated. Important areas of competitiveness are, among others, business environment, human capital, taxation, and infrastructure. Finance industry in MENA The financial technology (FinTech) industry in the MENA region has been booming recently, especially with the increased smartphone and internet penetration rates. Fintech helps businesses by allowing them to manage their financial operations efficiently using specialized software. The acceleration of fintech adoption can be attributed to the large share of the young population who were adapting to change and high rates of new technology adoption. Fintech had the highest share of startup deals in the region at ** percent in 2020 compared to other industries. The number of fintech companies in the Middle East region was forecast to reach *** firms by 2022, though this value will likely be exceeded. Fintech in the UAE The United Arab Emirates (UAE) was a leader in adopting fintech technology in the MENA region. The number of fintech startups in the UAE was *** in 2020. There were ** Islamic fintech firms in the country in the same year. The free zones ADGM and DIFC in the emirates of Abu Dhabi and Dubai respectively were proactively embracing fintech. The country’s regulatory authority boosted the blockchain sector in 2020 and 2021. Local authorities implemented regulatory laws and legalized the crypto-asset activities. The Dubai Financial Services Authority announced a crypto framework, while the Securities and Commodities Authority legitimized crypto-asset activities and introduced a crypto framework.

  9. Leading financial centers in Eastern Europe, Southern Europe, and Central...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Leading financial centers in Eastern Europe, Southern Europe, and Central Asia 2024 [Dataset]. https://www.statista.com/statistics/381183/leading-financial-centers-eastern-europe-central-asia/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe, Central Asia, Eastern Europe, Southern Europe, CEE, Asia
    Description

    Astana, the capital of Kazakhstan, was rated the most attractive financial center among the presented cities in Eastern Europe, Southern Europe, and Central Asia in 2024, with a rating of ***. It was followed by Almaty and Tallinn. To compare, Moscow had a Global Financial Centers Index (GFCI) rating of 590. The rating is based on an index incorporating numerous factors, including business environment, human capital, taxation, and infrastructure, among others. The global financial center ranking is led by New York.

  10. China CN: Postal: Business Volume: ytd: Express: Guangxi: Nanning

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Postal: Business Volume: ytd: Express: Guangxi: Nanning [Dataset]. https://www.ceicdata.com/en/china/express-business-volume-by-city-top-50-cities/cn-postal-business-volume-ytd-express-guangxi-nanning
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Postal Statistics
    Description

    Postal: Business Volume: Year to Date: Express: Guangxi: Nanning data was reported at 251.599 Unit mn in Mar 2025. This records an increase from the previous number of 159.184 Unit mn for Feb 2025. Postal: Business Volume: Year to Date: Express: Guangxi: Nanning data is updated monthly, averaging 101.584 Unit mn from May 2013 (Median) to Mar 2025, with 130 observations. The data reached an all-time high of 940.000 Unit mn in Dec 2024 and a record low of 2.948 Unit mn in Jan 2014. Postal: Business Volume: Year to Date: Express: Guangxi: Nanning data remains active status in CEIC and is reported by State Post Bureau. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TK: Express: Business Volume: By City (Top 50 Cities).

  11. h

    Top Pacific Center for Financial Services Holdings

    • hedgefollow.com
    Updated Dec 6, 2023
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    Hedge Follow (2023). Top Pacific Center for Financial Services Holdings [Dataset]. https://hedgefollow.com/funds/Pacific+Center+for+Financial+Services
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    Dataset updated
    Dec 6, 2023
    Dataset authored and provided by
    Hedge Follow
    License

    https://hedgefollow.com/license.phphttps://hedgefollow.com/license.php

    Variables measured
    Value, Change, Shares, Percent Change, Percent of Portfolio
    Description

    A list of the top 50 Pacific Center for Financial Services holdings showing which stocks are owned by Pacific Center for Financial Services's hedge fund.

  12. h

    Top Center for Financial Planning Inc Holdings

    • hedgefollow.com
    Updated Dec 6, 2023
    + more versions
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    Hedge Follow (2023). Top Center for Financial Planning Inc Holdings [Dataset]. https://hedgefollow.com/funds/Center+for+Financial+Planning+Inc
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    Dataset updated
    Dec 6, 2023
    Dataset authored and provided by
    Hedge Follow
    License

    https://hedgefollow.com/license.phphttps://hedgefollow.com/license.php

    Variables measured
    Value, Change, Shares, Percent Change, Percent of Portfolio
    Description

    A list of the top 50 Center for Financial Planning Inc holdings showing which stocks are owned by Center for Financial Planning Inc's hedge fund.

  13. Top Finanzplätze nach dem Global Financial Centres Index 2024

    • de.statista.com
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    Statista, Top Finanzplätze nach dem Global Financial Centres Index 2024 [Dataset]. https://de.statista.com/statistik/daten/studie/166518/umfrage/top-finanzplaetze-nach-dem-global-financial-centres-index/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Weltweit
    Description

    New York ist der weltweit führende Finanzplatz: Die US-Metropole führt mit *** Punkten den Global Financial Centres Index von Z/Yen an. Dahinter folgen London mit *** Punkten und Hongkong mit *** Punkten auf den Plätzen zwei und drei. Diese Statistik zeigt die bedeutendsten Finanzplätze der Welt im Jahr 2024 (Stand: September). Das private Beratungsinstitut Z/Yen hat einen Index zur Bewertung von Finanzplätzen konstruiert, bei dem eine Vielzahl von Faktoren zusammenfließen. Wichtige Themen sind die Dichte der Verbindungen mit anderen Finanzzentren, die Tiefe der Spezialisierung in einzelnen Bereichen und die Vielfalt der einzelnen Subbranchen des Finanzsektors. Beachtet werden aber auch enger begrenzte Themen wie z.B. Korruptions-Indizes und Erhebungen zur Wettbewerbsfähigkeit.

  14. Data for: Assets in Periphery, Agents in the Core: Mapping the Micro...

    • data.europa.eu
    unknown
    Updated Jul 3, 2025
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    Zenodo (2025). Data for: Assets in Periphery, Agents in the Core: Mapping the Micro Structures of International Tax Planning [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-7360739?locale=cs
    Explore at:
    unknown(75885)Available download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data for: Assets in Periphery, Agents in the Core: Mapping the Micro Structures of International Tax Planning See paper at: https://osf.io/preprints/socarxiv/hyc4p In the last two decades, tax avoidance has risen to the top of the agenda of policy makers and international organizations. The majority of political action and academic research has focused on the macro-level of states, pointing towards the responsibility of ‘tax havens’ or ‘offshore financial centers’. Research on the micro-level has demonstrated the importance of non-state actors who facilitate tax planning, but tax advisors have never been studied systematically with global data. In this paper, we connect the micro and macro levels. We map tax advisors geographically using a novel empirical approach based on LinkedIn. We show that tax advisors generally locate in large cities in the EU and OECD, rather than in places targeted as ‘tax havens’. We further consider what determines the locations of tax advisors. Using multiple regression analysis, we find that locations of tax advisors does not correlate with the location of corporate profits, financial secrecy, or economic activity. Rather, it correlates with the managerial and financial activity. Our results underscore the core-periphery structure in offshore finance. Effective regulation of tax avoidance should focus on tax advisors, not only on the destination of money flows, since the active facilitation does not occur in those places.

  15. F

    Financial AI Data Center Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 11, 2025
    + more versions
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    Market Report Analytics (2025). Financial AI Data Center Report [Dataset]. https://www.marketreportanalytics.com/reports/financial-ai-data-center-77092
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Financial AI Data Center market is experiencing robust growth, driven by the increasing adoption of artificial intelligence (AI) in the financial services sector. The need for high-performance computing infrastructure to handle complex AI algorithms, large datasets, and real-time processing is fueling this expansion. Major players like IBM, Oracle, and NVIDIA are investing heavily in developing specialized hardware and software solutions tailored to the unique demands of financial AI applications. The market is segmented by application (securities, banks, commercial institutions, government departments, and others) and by operation type (self-operation and hosted operation). The hosted operation segment is expected to witness significant growth due to its cost-effectiveness and scalability. Geographically, North America currently holds a dominant market share, owing to the early adoption of AI technologies and the presence of major technology companies and financial institutions. However, the Asia-Pacific region is projected to exhibit the highest growth rate in the coming years, driven by rapid digitalization and increasing investments in AI infrastructure across countries like China and India. Regulatory compliance and data security concerns are key restraints, but the overall market outlook remains positive. We estimate the market size in 2025 to be $15 billion, with a CAGR of 18% projected through 2033, leading to a market value exceeding $60 billion by the end of the forecast period. The continuous evolution of AI algorithms, particularly in areas like fraud detection, risk management, and algorithmic trading, is driving the demand for more sophisticated data center solutions. The increasing complexity of financial transactions and the need for real-time insights are pushing financial institutions to adopt advanced analytics and machine learning models, further fueling the growth of the Financial AI Data Center market. Competition is intensifying among providers, leading to innovation in areas such as edge computing, cloud-based solutions, and specialized AI accelerators. The market is also witnessing a growing adoption of hybrid cloud models, combining the benefits of on-premise and cloud-based infrastructure. This trend is expected to continue, further shaping the landscape of the Financial AI Data Center market in the years to come. The integration of blockchain technology into financial data centers is also an emerging trend that will influence future growth.

  16. d

    Exclude the top six cities in northern Taiwan: Company registration...

    • data.gov.tw
    csv
    Updated Apr 21, 2024
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    Administration of Commerce, Ministry of Economic Affairs (2024). Exclude the top six cities in northern Taiwan: Company registration information - H finance, insurance, and real estate industry. [Dataset]. https://data.gov.tw/en/datasets/108341
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    csvAvailable download formats
    Dataset updated
    Apr 21, 2024
    Dataset authored and provided by
    Administration of Commerce, Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taiwan
    Description

    Provide (excluding the six municipalities in northern Taiwan) company registration information - registration information and business address of companies in the financial, insurance, and real estate industries.

  17. World's Best Cities for People and the Planet

    • kaggle.com
    Updated May 20, 2022
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    Muhammad Saleh (2022). World's Best Cities for People and the Planet [Dataset]. https://www.kaggle.com/datasets/saleh846/worlds-best-cities-for-people-and-the-planet
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Muhammad Saleh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    This dataset contains the index, from global design firm Arcadis and the Centre for Economics and Business Research, ranks cities’ success based on social, environmental, and economic factors.

    Arcadis used 32 indicators and a cross section of the world’s urban areas, so not all capitals or large cities are necessarily represented. A city is scored on each of the three sustainability factors; its overall score is the average of those.

  18. Top Corporate R&D Investors - Financial

    • data.europa.eu
    csv
    Updated Oct 10, 2024
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    Joint Research Centre (2024). Top Corporate R&D Investors - Financial [Dataset]. https://data.europa.eu/data/datasets/8fb987ea-ee0d-484f-8633-762b93b1c63e?locale=hu
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 10, 2024
    Dataset provided by
    Közös Kutatóközponthttps://joint-research-centre.ec.europa.eu/index_en
    Authors
    Joint Research Centre
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    The data-set contains company data related to annual R&D expenditure, net sales, CAPEX, employment and operating profits.

  19. F

    Indian English Call Center Data for BFSI AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). Indian English Call Center Data for BFSI AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/bfsi-call-center-conversation-english-india
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    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This Indian English Call Center Speech Dataset for the BFSI (Banking, Financial Services, and Insurance) sector is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English-speaking customers. Featuring over 30 hours of real-world, unscripted audio, it offers authentic customer-agent interactions across a range of BFSI services to train robust and domain-aware ASR models.

    Curated by FutureBeeAI, this dataset empowers voice AI developers, financial technology teams, and NLP researchers to build high-accuracy, production-ready models across BFSI customer service scenarios.

    Speech Data

    The dataset contains 30 hours of dual-channel call center recordings between native Indian English speakers. Captured in realistic financial support settings, these conversations span diverse BFSI topics from loan enquiries and card disputes to insurance claims and investment options, providing deep contextual coverage for model training and evaluation.

    Participant Diversity:
    Speakers: 60 native Indian English speakers from our verified contributor pool.
    Regions: Representing multiple provinces across India to ensure coverage of various accents and dialects.
    Participant Profile: Balanced gender mix (60% male, 40% female) with age distribution from 18 to 70 years.
    Recording Details:
    Conversation Nature: Naturally flowing, unscripted interactions between agents and customers.
    Call Duration: Ranges from 5 to 15 minutes.
    Audio Format: Stereo WAV files, 16-bit depth, at 8kHz and 16kHz sample rates.
    Recording Environment: Captured in clean conditions with no echo or background noise.

    Topic Diversity

    This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world BFSI voice coverage.

    Inbound Calls:
    Debit Card Block Request
    Transaction Disputes
    Loan Enquiries
    Credit Card Billing Issues
    Account Closure & Claims
    Policy Renewals & Cancellations
    Retirement & Tax Planning
    Investment Risk Queries, and more
    Outbound Calls:
    Loan & Credit Card Offers
    Customer Surveys
    EMI Reminders
    Policy Upgrades
    Insurance Follow-ups
    Investment Opportunity Calls
    Retirement Planning Reviews, and more

    This variety ensures models trained on the dataset are equipped to handle complex financial dialogues with contextual accuracy.

    Transcription

    All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    30 hours-coded Segments
    Non-speech Tags (e.g., pauses, background noise)
    High transcription accuracy with word error rate < 5% due to double-layered quality checks.

    These transcriptions are production-ready, making financial domain model training faster and more accurate.

    Metadata

    Rich metadata is available for each participant and conversation:

    Participant Metadata: ID, age, gender, accent,

  20. F

    Financial Risk Control Service Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
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    Market Report Analytics (2025). Financial Risk Control Service Report [Dataset]. https://www.marketreportanalytics.com/reports/financial-risk-control-service-75451
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Financial Risk Control Services market is experiencing robust growth, driven by increasing regulatory scrutiny, the complexity of financial instruments, and the rising adoption of advanced analytics. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $150 billion by 2033. This expansion is fueled by several key factors. Firstly, the increasing interconnectedness of global financial markets necessitates sophisticated risk management solutions to mitigate systemic risks. Secondly, the growing adoption of cloud-based solutions offers scalability, cost-effectiveness, and improved data accessibility, further driving market penetration. Finally, the emergence of innovative technologies like artificial intelligence (AI) and machine learning (ML) is enabling more accurate risk assessment and predictive modeling. The market is segmented by application (enterprise and personal) and deployment type (cloud-based and internal). Enterprise applications currently dominate the market due to higher demand from large financial institutions. However, the personal segment is expected to experience significant growth, fueled by increasing consumer awareness of financial risks and the availability of user-friendly risk management tools. Geographic distribution reveals a concentrated market share in North America and Europe, driven by established financial centers and robust regulatory frameworks. However, Asia-Pacific is anticipated to demonstrate the highest growth rate due to rapid economic expansion and increasing financial sophistication. Key players like Moody's Analytics, S&P Global, and FICO hold substantial market share, leveraging their established reputations and comprehensive service offerings. Nevertheless, the market is also witnessing the emergence of niche players specializing in specific risk domains and deploying advanced technological solutions. Despite the positive outlook, challenges remain, including high implementation costs associated with advanced analytics and the risk of cybersecurity breaches. Furthermore, evolving regulatory landscapes and adapting to changing market conditions present continuous hurdles for market participants.

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Statista (2025). Leading financial centers worldwide 2025 [Dataset]. https://www.statista.com/statistics/270228/top-financial-centers-on-the-global-financial-centres-index/
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Leading financial centers worldwide 2025

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Sep 2024
Area covered
Worldwide
Description

As of September 2024, New York ranked as the world's most attractive financial center, earning a score of *** on a comprehensive financial center rating index that considers multiple factors. London followed closely in second place with a rating of ***. What are financial centers? A financial center is a city or region that serves as a strategic hub for the financial industry, bringing together banks, trading firms, stock exchanges, and other financial institutions. These hubs are typically distinguished by strong infrastructure, a stable regulatory and political environment, favorable taxation policies, and ample opportunities for business and trade growth. According to a 2024 survey of financial services professionals, the key factors influencing a financial center's competitiveness were the business environment, human capital, and infrastructure. Financial centers by region According to the Global Financial Centers Index, the most attractive financial hubs in North America are New York, San Francisco, and Chicago. In Latin America and the Caribbean, Bermuda, the Cayman Islands, and Sao Paulo received the highest scores. When financial sector professionals were asked which financial centers were likely to become more significant in the next years, they pointed to Seoul, Singapore, Dubai.

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