4 datasets found
  1. d

    Master Data: Year and Registrars of Companies (RoC)-wise Number of Indian,...

    • dataful.in
    Updated Aug 13, 2025
    + more versions
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    Dataful (Factly) (2025). Master Data: Year and Registrars of Companies (RoC)-wise Number of Indian, Foreign and LLP Companies Registered in India [Dataset]. https://dataful.in/datasets/1374
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    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Company Registrations
    Description

    This Dataset contains Year and Registrars of Companies (RoC)-wise statistics of total number of Indian, Foreign and limited liability partnership (LLP) Companies registered in India

    Note: Data is not available in MCA Website for Indian and LLP Companies during 2021 November and 2022 March

  2. d

    Master Data: Year-, Month- and Registrar-office-wise Number of Indian,...

    • dataful.in
    Updated Aug 13, 2025
    + more versions
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    Dataful (Factly) (2025). Master Data: Year-, Month- and Registrar-office-wise Number of Indian, Foreign and LLP Companies Registered in India [Dataset]. https://dataful.in/datasets/1358
    Explore at:
    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Company Registrations
    Description

    High Frequency Indicator: The dataset contains year- and month-wise compiled data from the year 2016 to till date on the number of Indian, Foreign and Limited Liability Partnership (LLP) companies registered under different registrar of companies (ROCs) offices in India

    Note: Data is not available in MCA Website for Indian and LLP Companies during 2021 November and 2022 March

  3. v

    Global Master Data Management Product Data Syndication (PDS) Market Size By...

    • verifiedmarketresearch.com
    Updated Mar 5, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Master Data Management Product Data Syndication (PDS) Market Size By Mode of Deployment, By Size of Organization, By Vertical Industry, By Geography Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/master-data-management-product-data-syndication-pds-market/
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    Dataset updated
    Mar 5, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Master Data Management Product Data Syndication (PDS) Market size was valued at USD 1.8 Billion in 2023 and is projected to reach USD 5.55 Billion by 2030, growing at a CAGR of 16.3 % during the forecast period 2024-2030.

    Global Master Data Management Product Data Syndication (PDS) Market Drivers

    The market drivers for the Master Data Management Product Data Syndication (PDS) Market can be influenced by various factors. These may include:

    Proliferation of E-commerce: The volume and complexity of product data have increased exponentially as a result of the quick development of online marketplaces and e-commerce platforms. Businesses may effectively manage and disseminate correct, current product information across numerous channels with the use of master data management (MDM) systems that have product data syndication capabilities. This enhances web visibility, customer satisfaction, and sales conversion rates. Demand for Omnichannel Retailing: Retailers must guarantee consistency and accuracy in product information across all touchpoints as consumers expect a seamless shopping experience across multiple channels, including websites, mobile apps, social media platforms, and brick-and-mortar stores. Retailers may improve brand reputation and customer happiness by using MDM PDS solutions to synchronize product data in real-time and give consistent product information across numerous channels. Regulatory Compliance and Data Governance: For companies operating in highly regulated industries including healthcare, pharmaceuticals, food and beverage, and consumer goods, compliance with regulatory regulations, industry standards, and data governance rules is essential. MDM PDS solutions facilitate traceability, labelling, and reporting requirements while guaranteeing the accuracy, consistency, and completeness of product data. This helps enterprises stay compliant. Globalization and Expansion Initiatives: Businesses have difficulties with localization, language translation, and cultural adaption of product information as they enter new markets and regions. Organizations can support international expansion ambitions and market penetration goals by using MDM PDS solutions to manage multilingual product catalogues, adapt product descriptions and specifications, and adhere to regional rules and labelling requirements. Demand for Real-time Data Synchronization: Businesses must react swiftly to shifts in the market, client preferences, and competitive dynamics in the fast-paced business world of today. With real-time data synchronization capabilities provided by MDM PDS solutions, businesses can improve their agility and responsiveness by launching new goods more quickly, updating product information dynamically, and taking advantage of developing market opportunities. Pay Attention to Data Quality and Accuracy: Having accurate and trustworthy product data is crucial for increasing sales, decreasing returns, and building client loyalty. By removing duplicate entries, resolving discrepancies, standardizing and enhancing product information, and maintaining a single source of truth for product data throughout the company, MDM PDS solutions assist businesses in improving the quality of their data.

  4. e

    Web Mining

    • paper.erudition.co.in
    html
    Updated Oct 1, 2021
    + more versions
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    Einetic (2021). Web Mining [Dataset]. https://paper.erudition.co.in/makaut/master-of-computer-applications-2-years/3/data-warehousing-and-data-mining
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 1, 2021
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Web Mining of Data Warehousing and Data Mining, 3rd Semester , Master of Computer Applications (2 Years)

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Dataful (Factly) (2025). Master Data: Year and Registrars of Companies (RoC)-wise Number of Indian, Foreign and LLP Companies Registered in India [Dataset]. https://dataful.in/datasets/1374

Master Data: Year and Registrars of Companies (RoC)-wise Number of Indian, Foreign and LLP Companies Registered in India

Explore at:
application/x-parquet, xlsx, csvAvailable download formats
Dataset updated
Aug 13, 2025
Dataset authored and provided by
Dataful (Factly)
License

https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

Area covered
India
Variables measured
Company Registrations
Description

This Dataset contains Year and Registrars of Companies (RoC)-wise statistics of total number of Indian, Foreign and limited liability partnership (LLP) Companies registered in India

Note: Data is not available in MCA Website for Indian and LLP Companies during 2021 November and 2022 March

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