18 datasets found
  1. p

    Travel Agencies in Free municipal consortium of Syracuse, Italy - 105...

    • poidata.io
    csv, excel, json
    Updated Jun 28, 2025
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    Poidata.io (2025). Travel Agencies in Free municipal consortium of Syracuse, Italy - 105 Verified Listings Database [Dataset]. https://www.poidata.io/report/travel-agency/italy/free-municipal-consortium-of-syracuse
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Free municipal consortium of Syracuse, Italy
    Description

    Comprehensive dataset of 105 Travel agencies in Free municipal consortium of Syracuse, Italy as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  2. d

    Transactional E-receipt Data | Hotel, Travel, Hospitality

    • datarade.ai
    Updated Jun 19, 2024
    + more versions
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    Measurable AI (2024). Transactional E-receipt Data | Hotel, Travel, Hospitality [Dataset]. https://datarade.ai/data-products/transactional-e-receipt-data-hotel-travel-hospitality-measurable-ai
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    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    Belgium, Nigeria, Argentina, Jordan, Tunisia, Sri Lanka, Korea (Republic of), United States of America, France, Germany
    Description

    Metrics that can be unearthed will be ones contained in the email booking invoice such as Hotel name, type of room, dates, check in and check out times, price paid, duration of stay. We can go back to 5 years of history.

    We also have cancellation emails.

    Any hotel vendor can be requested too. We will conduct a search in our database to see if it justifies a parser build to extract the data.

  3. f

    Puerto Rico Service Trip Database.xlsx

    • figshare.com
    xlsx
    Updated Apr 16, 2019
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    Martin Rosario (2019). Puerto Rico Service Trip Database.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.7999370.v1
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    xlsxAvailable download formats
    Dataset updated
    Apr 16, 2019
    Dataset provided by
    figshare
    Authors
    Martin Rosario
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Puerto Rico
    Description

    Data set from Survey.Three separate surveys questions designed for the students, employees, and participants of Puerto Rico Community Clinic. The student survey was 30 questions, 23 Likert scale style and 7 free response, intended to gauge the perceived benefits of participating in the service trip, and the employee survey was composed of 12 questions, 8 Likert scale style, and 4 free response. Both the employee and participant surveys were translated from English. The Community Center’s participants surveys included 8 questions, 5 Likert scale style and 3 free response. All Likert scale questions ranged from strongly disagree (1) to strongly agree (5). Surveys were voluntarily completed on the last day by employees and members, whereas student surveys were conducted during the students’ trip back and were completed prior to returning home the next day. All surveys were completed anonymously, allowing one to report their true perception without concern of repercussion.

  4. p

    Travel in Free municipal consortium of Trapani, Italy - 6 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Travel in Free municipal consortium of Trapani, Italy - 6 Verified Listings Database [Dataset]. https://www.poidata.io/report/travel/italy/free-municipal-consortium-of-trapani
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Free municipal consortium of Trapani, Italy
    Description

    Comprehensive dataset of 6 Travel in Free municipal consortium of Trapani, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  5. p

    Travel Agencies in Free municipal consortium of Agrigento, Italy - 116...

    • poidata.io
    csv, excel, json
    Updated Jul 21, 2025
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    Poidata.io (2025). Travel Agencies in Free municipal consortium of Agrigento, Italy - 116 Verified Listings Database [Dataset]. https://www.poidata.io/report/travel-agency/italy/free-municipal-consortium-of-agrigento
    Explore at:
    json, excel, csvAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Free municipal consortium of Agrigento, Italy
    Description

    Comprehensive dataset of 116 Travel agencies in Free municipal consortium of Agrigento, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. p

    Tourist Information Centers in Free municipal consortium of Caltanissetta,...

    • poidata.io
    csv, excel, json
    Updated Jun 25, 2025
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    Poidata.io (2025). Tourist Information Centers in Free municipal consortium of Caltanissetta, Italy - 9 Verified Listings Database [Dataset]. https://www.poidata.io/report/tourist-information-center/italy/free-municipal-consortium-of-caltanissetta
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    json, excel, csvAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Free municipal consortium of Caltanissetta, Italy
    Description

    Comprehensive dataset of 9 Tourist information centers in Free municipal consortium of Caltanissetta, Italy as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  7. d

    Tourist Attraction Data | Top 400 Malls & Shopping Centers in European Union...

    • datarade.ai
    Updated Sep 29, 2023
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    Xtract (2023). Tourist Attraction Data | Top 400 Malls & Shopping Centers in European Union | Points of Interest Data [Dataset]. https://datarade.ai/data-products/xtract-io-point-of-interest-poi-data-top-400-malls-and-xtract
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    .bin, .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 29, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    Europe, European Union, Italy, Slovenia, Ireland, Estonia, France, Spain, Czech Republic, Austria, Denmark, Netherlands
    Description

    Xtract.io's comprehensive location data for European malls provides international retail strategists. Researchers, investors, and business developers can utilize this dataset to analyze retail landscape, identify market trends, and develop sophisticated strategies for European shopping center markets.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

    -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

    Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

    LocationsXYZ has empowered businesses with geo-spatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

  8. Private travel abroad by country of travel, Slovenia, 2000Q1-2020Q4

    • data.europa.eu
    html, unknown
    + more versions
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    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE, Private travel abroad by country of travel, Slovenia, 2000Q1-2020Q4 [Dataset]. https://data.europa.eu/data/datasets/surs2170125s/
    Explore at:
    html, unknownAvailable download formats
    Dataset provided by
    Government of Slovenia
    Statistical Office of Slovenia
    Authors
    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE
    Area covered
    Slovenia
    Description

    This database automatically captures metadata the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICS OF THE REPUBLIC OF SLOVENIA and corresponds to the source database entitled “Private trips abroad by country of travel, Slovenia, 2000Q1-2020Q4”.

    Actual data are available in PC-Axis format (.px). For further links, you can access the source portal page for consultation and selection of data, as well as the PX-Win application, which can be downloaded free of charge. Both allow the selection of data to display, transform the format of the printout and store it into different formats, as well as to review and print out tables of unlimited size, as well as some basic statistical analyses and graphics.

  9. p

    Tourist Information Centers in Free municipal consortium of Trapani, Italy -...

    • poidata.io
    csv, excel, json
    Updated Jul 23, 2025
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    Poidata.io (2025). Tourist Information Centers in Free municipal consortium of Trapani, Italy - 41 Verified Listings Database [Dataset]. https://www.poidata.io/report/tourist-information-center/italy/free-municipal-consortium-of-trapani
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Free municipal consortium of Trapani, Italy
    Description

    Comprehensive dataset of 41 Tourist information centers in Free municipal consortium of Trapani, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  10. r

    Australian Tourism Data Warehouse API

    • researchdata.edu.au
    Updated May 28, 2013
    + more versions
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    SA Tourism Commission (2013). Australian Tourism Data Warehouse API [Dataset]. https://researchdata.edu.au/australian-tourism-data-warehouse-api/1952699
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    Dataset updated
    May 28, 2013
    Dataset provided by
    data.sa.gov.au
    Authors
    SA Tourism Commission
    Area covered
    Australia
    Description

    Australian Tourism Data Warehouse (ATDW) is the National Platform for Digital Tourism information on Australia.The ATDW ATLAS API allows you to extract tourism information from the ATDW database. The database contains over 40,000 tourism related products across a variety of categories. The API allows for geospatial searching of the data and allows filtering using the ATDW content structure. The content is compiled in a national agreed format an electronically accessible by tourism business owners (operators), wholesalers, retailers and distributors for use in their websites, booking systems and other digital channels.\r \r A 30 day free trial is available.

  11. f

    Origen of included studies (N = 102).

    • plos.figshare.com
    xls
    Updated Mar 19, 2024
    + more versions
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    Carlos Manterola; Josue Rivadeneira; Claudio Rojas-Pincheira; Tamara Otzen; Hugo Delgado; Catalina Sotelo; Antonio Sanhueza (2024). Origen of included studies (N = 102). [Dataset]. http://doi.org/10.1371/journal.pntd.0011558.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 19, 2024
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Carlos Manterola; Josue Rivadeneira; Claudio Rojas-Pincheira; Tamara Otzen; Hugo Delgado; Catalina Sotelo; Antonio Sanhueza
    License

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

    Description

    BackgroundCholangiohydatidosis (CH) is an evolutionary complication of hepatic cystic echinococcosis, associated with increased morbidity and mortality. The aim of this study was to describe the available evidence regarding clinical characteristics of CH, postoperative complications and hospital mortality.Methodology/Principal findingsSystematic review. Studies related to CH with no language or publication restriction were included. Sensitive searches were performed in Trip Database, SciELO, BIREME-BVS, WoS, PubMed, EMBASE and SCOPUS. MeSH and free terms were used, including articles up to April 2023. The main outcome variables were postoperative complications and hospital mortality; the secondary ones were publication year, origin and design of primary studies, main clinical manifestation, anatomical location and type of cysts, hospital stay, surgical procedure performed, reinterventions; and methodological quality of primary studies, which was assessed using MInCir-T and MInCir-P scales. Descriptive statistics, calculation of weighted averages and their comparison by least squares logistic regression were applied. 446 studies were retrieved from the searches performed, 102 of which met the inclusion and exclusion criteria. The studies analyzed represent 1241 patients. The highest proportion of articles was published in the last decade (39.2%). Reports are mainly from Turkey (28.4%), Greece (9.8%), Morocco and Spain (8.8% each). With a weighted mean of 14.3 days of hospital stance; it was verified that 26.2% of patients developed postoperative complications (74,3% Clavien y Dindo III y IV), 6.7% needed re-interventions, and 3.7% died. When comparing the variables age, postoperative complications, hospital mortality, and reinterventions in two periods of time (1982–2006 vs. 2007–2023), no statistically significant differences were found. When applying the MInCir-T and MInCir-P scales, the methodological quality of the primary studies was 9.6±1.1 and 14.5±4.3 points, respectively.Conclusion/SignificanceCH is associated with severe postoperative complications and significant hospital mortality, independent of the development of therapeutic support associated with the passage of time.

  12. d

    Restaurant Data | All Top Restaurant and Food Store Locations in US and...

    • datarade.ai
    Updated Nov 23, 2023
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    Xtract (2023). Restaurant Data | All Top Restaurant and Food Store Locations in US and Canada | Accurate Points of Interest Data [Dataset]. https://datarade.ai/data-products/poi-data-restaurants-data-us-xtract
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    Canada, United States
    Description

    Xtract.io's comprehensive location data for restaurants and food stores offers a detailed view of the retail food landscape. Retail strategists, market researchers, and business developers can utilize this dataset to analyze market distribution, identify emerging trends, and develop targeted expansion strategies across the food retail sector.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

    -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

    Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

    LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

  13. Average number of trips per person per day, statistical regions, Slovenia,...

    • data.europa.eu
    html, unknown
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    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE, Average number of trips per person per day, statistical regions, Slovenia, multiannually [Dataset]. https://data.europa.eu/data/datasets/surs2281262s?locale=en
    Explore at:
    unknown, htmlAvailable download formats
    Dataset provided by
    Government of Slovenia
    Authors
    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE
    Area covered
    Slovenia
    Description

    This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Average number of trips per person per day, statistical regions, Slovenia, multiannually”.

    Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

  14. d

    Travel Agency Data of Bangladesh

    • datarade.ai
    .csv, .pdf, .xls
    Updated Jul 19, 2025
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    Bizdata Insights (2025). Travel Agency Data of Bangladesh [Dataset]. https://datarade.ai/data-products/travel-agency-data-of-bangladesh-bizdata-insights
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    .csv, .pdf, .xlsAvailable download formats
    Dataset updated
    Jul 19, 2025
    Dataset authored and provided by
    Bizdata Insights
    Area covered
    Bangladesh
    Description

    This database is a highly focused and professionally curated B2B directory of Travel and Visa Agencies in Bangladesh. It is specifically designed to support businesses, marketers, researchers, and service providers looking to engage with organizations operating exclusively within the travel, tourism, and visa processing sector.

    Each company profile in the database follows a standardized format that captures critical business and contact details, making it easy to filter, segment, and target based on specific needs. The structured fields include:

    Company Name

    Industry Type (focused solely on Travel Agency and Visa Consultancy)

    Ownership Type (e.g., Private, Partnership)

    Business Category (e.g., Local, National)

    Country of Operation

    Key Contact Person

    Designation (e.g., Proprietor, Managing Director, CEO)

    Email Address

    Mobile Number

    Landline Number

    Head Office Address

    Branch Office Address (if applicable)

    This database offers an in-depth look into the travel and visa agency landscape of Bangladesh, showcasing companies of all sizes — from small local consultancies to well-established travel service providers. A sample set of around 190 businesses is presented to demonstrate the format and richness of the data, while the full dataset includes over 7,500 verified agency profiles.

    Data has been collected through extensive manual research, cross-verification from public and private sources, and a thorough validation process to ensure that each entry is accurate and up to date. This makes the database an essential resource for:

    Travel technology providers

    Visa processing partners

    B2B marketers targeting travel businesses

    Researchers analyzing the travel sector in Bangladesh

    Companies offering B2B solutions like CRM, insurance, ticketing platforms, or training services

    By offering direct access to key decision-makers and organizational details, this database provides a solid foundation for targeted outreach, partnership building, and strategic growth in Bangladesh’s vibrant travel and visa services industry.

  15. d

    Restaurant Location Data | All Burger King, Tim Hortons, Popeyes, Firehouse...

    • datarade.ai
    Updated Nov 17, 2023
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    Xtract (2023). Restaurant Location Data | All Burger King, Tim Hortons, Popeyes, Firehouse Clubs Brand Outlets Store Location Data | Tourist Attraction Data [Dataset]. https://datarade.ai/data-products/xtract-point-of-interest-poi-data-all-restaurant-brands-i-xtract
    Explore at:
    .bin, .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 17, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States of America, Canada
    Description

    Xtract.io's location data for Restaurant Brands International offers a global perspective on brands like Burger King, Tim Hortons, and Popeyes. International franchise developers, market researchers, and global investors can utilize this dataset to analyze cross-border restaurant distribution, identify market opportunities, and develop comprehensive understanding of these iconic brands' geographical strategies.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

    -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

    Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

    LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

  16. Digital Lost-and-Found Platform Market Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jul 16, 2025
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    Growth Market Reports (2025). Digital Lost-and-Found Platform Market Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/digital-lost-and-found-platform-market-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Digital Lost-and-Found Platform Market Outlook



    As per our latest research, the global market size for the Digital Lost-and-Found Platform Market reached USD 586.4 million in 2024, with robust growth driven by digital transformation initiatives and increasing demand for efficient item recovery solutions across public and private sectors. The market is projected to expand at a CAGR of 15.7% from 2025 to 2033, reaching a forecasted value of USD 2,003.3 million by 2033. The accelerating adoption of digital platforms in airports, hotels, public transportation, and other high-traffic venues is a key growth factor, reflecting organizations’ focus on enhancing customer satisfaction and operational efficiency.



    One of the primary growth factors fueling the Digital Lost-and-Found Platform Market is the increasing digitization of customer service operations across various industries. Organizations are prioritizing the implementation of digital solutions that streamline the management and retrieval of lost items, minimizing manual intervention and human error. The proliferation of smartphones and the ubiquity of internet connectivity have further enabled seamless integration of lost-and-found services with existing digital ecosystems. This shift is particularly evident in sectors such as transportation, hospitality, and retail, where high footfall translates into frequent cases of misplaced belongings. As a result, businesses are leveraging digital lost-and-found platforms to improve recovery rates, reduce administrative overhead, and bolster customer loyalty.



    Another significant driver is the rising emphasis on security and data privacy in lost-and-found management. Traditional manual processes often expose sensitive information and are prone to mismanagement or loss of records. Digital lost-and-found platforms offer secure, encrypted databases that ensure the confidentiality of personal data and support compliance with data protection regulations such as GDPR and CCPA. The ability to track, categorize, and match lost items with claims using artificial intelligence and machine learning further enhances the accuracy and speed of item recovery. This technological advancement is encouraging both public and private organizations to transition from legacy systems to modern digital solutions, fostering market growth.



    Additionally, the increasing globalization of travel and events has created a strong demand for scalable, multi-platform lost-and-found solutions. International airports, global hotel chains, and large-scale event venues require platforms that can handle high volumes of lost items across multiple locations and languages. Digital lost-and-found platforms provide centralized management, real-time notifications, and multilingual support, ensuring a consistent and efficient experience for users worldwide. This trend is expected to intensify as travel and tourism sectors rebound post-pandemic, further propelling market expansion.



    Regionally, North America continues to dominate the Digital Lost-and-Found Platform Market, accounting for over 38% of the global market share in 2024. The region’s leadership is attributed to early adoption of digital technologies, strong presence of leading solution providers, and high volume of lost-and-found cases in airports, hotels, and public transit systems. Europe follows closely, driven by stringent data privacy regulations and growing investments in smart city initiatives. The Asia Pacific region is emerging as a high-growth market, with a projected CAGR of 18.2% through 2033, supported by rapid urbanization, expanding transportation networks, and rising consumer expectations for digital convenience.





    Component Analysis



    The Digital Lost-and-Found Platform Market is segmented by component into software and services, each playing a pivotal role in the overall ecosystem. Software solutions form the backbone of this market, encompassing core functionalities such as item registration, database management, automated matching, user notifications, and analytics dashboards. The

  17. d

    Points of Interest Data | Cannabis Dispensary Outlets in the US | Store...

    • datarade.ai
    Updated Jul 19, 2025
    + more versions
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    Xtract (2025). Points of Interest Data | Cannabis Dispensary Outlets in the US | Store Locations Database [Dataset]. https://datarade.ai/data-products/xtract-io-point-of-interest-poi-data-locations-data-t-xtract
    Explore at:
    .bin, .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 19, 2025
    Dataset authored and provided by
    Xtract
    Area covered
    United States
    Description

    This specialized cannabis dispensary POI data offers a detailed mapping of store locations across the United States. Industry investors, market researchers, and strategic planners can leverage precise dispensary location data to understand market distribution, identify expansion opportunities, and develop targeted strategies in the emerging cannabis retail sector.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive cannabis location intelligence landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including: -Retail -Restaurants -Healthcare and medical dispensary locations -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

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    Unlock the Power of Cannabis Location Intelligence With our point-of-interest data for dispensary locations, you can: -Perform thorough market analyses for cannabis retail expansion -Identify the best locations for new dispensary stores -Gain insights into consumer behavior in cannabis markets -Achieve an edge with competitive intelligence in the marijuana retail sector

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  18. e

    Daily number of trips by main means of transport and start time, Slovenia,...

    • data.europa.eu
    html, unknown
    + more versions
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    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE, Daily number of trips by main means of transport and start time, Slovenia, multiannually [Dataset]. https://data.europa.eu/data/datasets/surs2281223s
    Explore at:
    html, unknownAvailable download formats
    Dataset authored and provided by
    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE
    Area covered
    Slovenia
    Description

    This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL OFFICE OF THE REPUBLIC OF SLOVENIA and corresponds to the source database entitled "Daily number of trips by main means of transport and start time of the trip, Slovenia, multiannually".

    The actual data is available in PC-Axis format (.px). Among the additional links, you can access the pages of the source portal for insight and selection of data, and there is also the PX-Win program, which can be downloaded for free. Both allow you to select data for display, change the format of the printout and save it in different formats, as well as view and print tables of unlimited size and some basic statistical analyses and graphical representations.

  19. Not seeing a result you expected?
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Poidata.io (2025). Travel Agencies in Free municipal consortium of Syracuse, Italy - 105 Verified Listings Database [Dataset]. https://www.poidata.io/report/travel-agency/italy/free-municipal-consortium-of-syracuse

Travel Agencies in Free municipal consortium of Syracuse, Italy - 105 Verified Listings Database

Explore at:
csv, json, excelAvailable download formats
Dataset updated
Jun 28, 2025
Dataset provided by
Poidata.io
Area covered
Free municipal consortium of Syracuse, Italy
Description

Comprehensive dataset of 105 Travel agencies in Free municipal consortium of Syracuse, Italy as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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