Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.

With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.

🔥 Key Features:

Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.

Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.

Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.

Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.

Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.

Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.

🏆Primary Use Cases:

Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.

Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.

Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.

Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.

💡 Why Choose Xverum’s POI Data?

• 230M+ Verified POI Records – One of the largest & most detailed location datasets available.
• Global Coverage – POI data from 249+ countries, covering all major business sectors.
• Regular Updates – Ensuring accurate tracking of business openings & closures.
• Comprehensive Geographic & Business Data – Coordinates, addresses, categories, and more.
• Bulk Dataset Delivery – S3 Bucket & cloud storage delivery for full dataset access.
• 100% Compliant – Ethically sourced, privacy-compliant data.

Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!

Company Reviews and Ratings

This dataset provides detailed information on company reviews and ratings, encompassing various attributes such as the name of the company, its rating, number of reviews, company type, total employees, headquarters location, years in operation, highly rated aspects, and critically rated aspects.

Columns:

• Name_Of_Company : The name of the company being reviewed.
• Rating : The overall rating of the company, typically on a scale of 1 to 5.
• Reviews : The number of reviews available for the company.
• Company_Type : The type or industry of the company.
• Total_Employees : The total number of employees working in the company.
• Head_Quarter : The location of the company's headquarters.
• Years_In_Operation : The number of years the company has been in operation.
• Highly_Rated_For : Aspects of the company that are highly rated by reviewers.
• Critically_Rated_For : Aspects of the company that are critically rated by reviewers.

Description:

This dataset offers insights into the performance and perception of various companies across different industries. Analysts can use this data to understand trends in company ratings, identify factors influencing positive or negative reviews, and benchmark companies against their competitors.

Potential Use Cases:

• HR and Recruitment : HR professionals can utilize this data to assess the reputation and employee satisfaction of potential employers.

• Investors : Investors can analyze company ratings and reviews to inform investment decisions and evaluate the financial health of companies.

• Market Research : Market researchers can study consumer sentiment towards different companies and industries to guide marketing strategies and product development.

• Business Development : Business development teams can identify areas of improvement based on critical reviews and prioritize efforts to enhance customer satisfaction.

• Academic Research : Researchers can explore this dataset to study patterns in company ratings and reviews, and investigate the impact of various factors on company performance and perception.

By leveraging this dataset, stakeholders can gain valuable insights into the strengths and weaknesses of companies, enabling informed decision-making and strategic planning.

Comprehensive dataset containing 120 verified The Walking Company locations in United States with complete contact information, ratings, reviews, and location data.

👨‍💻 Author: Azhar Saleem

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Dataset Overview

Welcome to the Google Places Comprehensive Business Dataset! This dataset has been meticulously scraped from Google Maps and presents extensive information about businesses across several countries. Each entry in the dataset provides detailed insights into business operations, location specifics, customer interactions, and much more, making it an invaluable resource for data analysts and scientists looking to explore business trends, geographic data analysis, or consumer behaviour patterns.

Key Features

• Business Details: Includes unique identifiers, names, and contact information.
• Geolocation Data: Precise latitude and longitude for pinpointing business locations on a map.
• Operational Timings: Detailed opening and closing hours for each day of the week, allowing analysis of business activity patterns.
• Customer Engagement: Data on review counts and ratings, offering insights into customer satisfaction and business popularity.
• Additional Attributes: Links to business websites, time zone information, and country-specific details enrich the dataset for comprehensive analysis.

Potential Use Cases

This dataset is ideal for a variety of analytical projects, including: - Market Analysis: Understand business distribution and popularity across different regions. - Customer Sentiment Analysis: Explore relationships between customer ratings and business characteristics. - Temporal Trend Analysis: Analyze patterns of business activity throughout the week. - Geospatial Analysis: Integrate with mapping software to visualise business distribution or cluster businesses based on location.

Dataset Structure

The dataset contains 46 columns, providing a thorough profile for each listed business. Key columns include:

• business_id: A unique Google Places identifier for each business, ensuring distinct entries.
• phone_number: The contact number associated with the business. It provides a direct means of communication.
• name: The official name of the business as listed on Google Maps.
• full_address: The complete postal address of the business, including locality and geographic details.
• latitude: The geographic latitude coordinate of the business location, useful for mapping and spatial analysis.
• longitude: The geographic longitude coordinate of the business location.
• review_count: The total number of reviews the business has received on Google Maps.
• rating: The average user rating out of 5 for the business, reflecting customer satisfaction.
• timezone: The world timezone the business is located in, important for temporal analysis.
• website: The official website URL of the business, providing further information and contact options.
• category: The category or type of service the business provides, such as restaurant, museum, etc.
• claim_status: Indicates whether the business listing has been claimed by the owner on Google Maps.
• plus_code: A sho...

Comprehensive dataset containing 37 verified The Armstrong Company locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 25 verified H.D. Fowler Company locations in United States with complete contact information, ratings, reviews, and location data.

Product contains one data file (.txt format) for each year from 1997-2023 containing 11-15 million records per year. Records provide information about business location (including address, census block, census tract & lat/long coordinates), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities.

Displays a representation of where all the surveyed businesses across York Region are located. This data is collected through the Region’s annual comprehensive employment survey and each record contains employment and business contact information about each business with the exception of home and farm-based businesses. Home-based businesses are not included as they are distributed throughout residential communities within the Region and are difficult to survey. Employment data for farm-based businesses are collected through the Census of Agriculture conducted by Statistics Canada, and are not included in the York Region Employment Survey dataset.Update Frequency: Not PlannedDate Created: 17/03/2023Date Modified: 17/03/2023Metadata Date: 17/03/2023Citation Contacts: York Region, Long Range Planning Attribute Definitions BUSINESSID: Unique key to identify a business.NAME: The common business name used in everyday transactions. FULL_ADDRESS: Full street address of the physical address. (This field concatenates the following fields: Street Number, Street Name, Street Type, Street Direction)STREET_NUM: Street number of the physical addressSTREET_NAME: Street name of the physical addressSTREET_TYPE: Street type of the physical addressSTREET_DIR: Street direction of the physical addressUNIT_NUM: Unit number of the physical addressCOMMUNITY: Community name where the business is physically locatedMUNICIPALITY: Municipality where the business is physically locatedPOST_CODE: Postal code corresponding to the physical street addressEMPLOYEE_RANGE: The numerical range of employees working in a given firm. PRIM_NAICS, PRIM_NAICS_DESC: The Primary 5-digit NAIC code defines the main business activity that occurs at that particular physical business location.SEC_NAICS, SEC_NAICS_DESC: If there is more than one business activity occurring at a particular business location (that is substantially different from the primary business activity), then a secondary NAIC is assigned.PRIM_BUS_CLUSTER, SEC_BUS_CLUSTER: A business cluster is defined as a geographic concentration of interconnected businesses and institutions in a common industry that both compete and cooperate. As defined by York Region, this field indicates the primary business cluster that this business belongs to.BUS_ACTIVITY_DESC: This is a comment box with a detailed text description of the business activity. TRAFFIC_ZONE: Specifies the traffic zone in which the business is located. MANUFACTURER: Indicates whether or not the business manufactures at the physical business location. CAN_HEADOFFICE: The business at this location is considered the Canadian head office.HEADOFFICEPROVSTATE: Indicates which state or province the head office is located if the head office is located in Canada (outside of Ontario) or in the United StatesHEADOFFICECOUNTRY: Indicates which country the head office is locatedYR_CURRENTLOC: Indicates the year that the business moved into its current address.MAIL_FULL_ADDRESS: The mailing address is the address through which a business receives postal service. This may or may not be the same as the physical street address.MAIL_STREET_NUM, MAIL_STREET_NAME, MAIL_STREET_TYPE, MAIL_STREET_DIR, MAIL_UNIT_NUM, MAIL_COMMUNITY, MAIL_MUNICIPALITY, MAIL_PROVINCE, MAIL_COUNTRY, MAIL_POST_CODE, MAIL_POBOX: Mailing address fields are similar to street address fields and in most cases will be the same as the Street Address. Some examples where the two addresses might not be the same include, multiple location businesses, home-based businesses, or when a business receives mail through a P.O. Box.WEBSITE: The General/Main business website.GEN_BUS_EMAIL: The general/main business e-mail address for that location.PHONE_NO: The general/main phone number for the business location.PHONE_EXT: The extension (if any) for the general/main business phone number.LAST_SURVEYED: The date the record was last surveyedLAST_UPDATED: The date the record was last updatedUPDATEMETHOD: Displays how the business was last updated, based on a predetermined list.X_COORD, Y_COORD: The x,y coordinates of the surveyed business location Frequently Asked QuestionsHow many businesses are included in the 2022 York Region Business Directory? The 2022 York Region Business Directory contains just over 34,000 business listings. In the past, businesses were annually surveyed, either in person or by telephone to improve the accuracy of the directory. Due to the COVID-19 Pandemic, a survey was not complete in 2020 and 2021. The Region may return to annual surveying in future years, however the next employment survey will be in 2024. This listing also includes home-based businesses that participated in the 2022 employment survey. What is a NAIC code?The North American Industrial Classification (NAIC) coding system is a hierarchical classification system developed in Canada, Mexico and the United States. It was developed to allow for the comparison of business and employment information across a variety of industry categories. The NAICS has a hierarchical structure, designed as follows: Two-digits = sector (e.g., 31-33 contain the Manufacturing sectors) Three-digits = subsector (e.g., 336 = Transportation Equipment Manufacturing) Four-digits = industry group (e.g., 3361 = Motor Vehicle Manufacturing) Five-digits = industry (e.g., 33611 = Automobile and Light Duty Motor Vehicle Manufacturing) For more information on the NAIC coding system click here How do I add or update my business information in the York Region Business Directory? To add or update your business information, please select one of the following methods: • Email: Please email businessdirectory@york.ca to request to be added to the Business Directory.• Online: Go to www.york.ca/employmentsurvey and participate in the employment survey - note, this will only be active in 2024 when the Region performs its next employment surveyThere is no charge for obtaining a basic listing of your business in the York Region Business Directory. How up-to-date is the information?This directory is based on the 2022 York Region Employment Survey, a survey of businesses which attempts to gather information from all businesses across York Region. In instances where we were unable to gather information, the most recent data was used. Farm-based businesses have not been included in the survey and home-based businesses that participated in the 2022 survey are included in the dataset. The date that the business listing was last updated is located in the LastUpdate column in the attached spreadsheet. Are different versions of the York Region Business Directory available?Yes, the directory is available in two online formats:• An interactive, map-based directory searchable by company name, street address, municipality and industry sector.• The entire dataset in downloadable Microsoft Excel format via York Region's Open Data Portal. This version of the York Region Business Directory 2022 is offered free of charge. The Directory allows for the detailed analysis of business and employment trends, as well as the construction of targeted contact lists. To view the map-based directory and dataset, go to:2022 Business Directory - Map Is there any analysis of business and employment trends in York Region?Yes. The "2022 Employment and Industry Report" contains information on employment trends in York Region and is based on results from the employment survey. please visit www.york.ca/york-region/plans-reports-and-strategies/employment-and-industry-report to view the report. What other resources are available for York Region businesses?York Region offers an export advisory service and a number of other business development programs and seminars for interested individuals.For details, consult the York Region Economic Strategy Branch. Who do I contact to obtain more information about the Directory?For more information on the York Region Business Directory, contact the Planning and Economic Development Branch at:businessdirectory@york.ca.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

High accuracy points-of-interest (POI) business listing data for all places in the USA that consumers spend money. Dataset includes geometry point data and accurate name, address and category data.SafeGraph Places is a points-of-interest (POI) dataset with business listing, building footprint, visitor insights, & foot-traffic data for every place people spend money in the U.S.The complete SafeGraph Places dataset has ~ 5.4 million points-of-interest in the USA and is updated monthly (to reflect store openings & closings).Here, for free on this listing, SafeGraph offers a subset of attributes from SafeGraph Places: POI business listing information and POI locations (building centroids).Columns in this dataset:safegraph_place_idparent_safegraph_place_idlocation_namesafegraph_brand_idsbrandstop_categorystreet_addresscitystatezip_codeNAICS codeGeometry Point data. Latitude and longitude of building centroid.For data definitions and complete documentation visit SafeGraph Developer and Data Scientist Docs.For statistics on the dataset, see SafeGraph Places Summary Statistics.Data is available as a hosted Feature Service to easily integrate with all ESRI products in the ArcGIS ecosystem.Want More? Want this POI data for use outside of ArcGIS Online? Want POI data for Canada? Want POI building footprints (Geometry)?Want more detailed category information (Core Places)?Want phone numbers or operating hours (Core Places)?Want POI visitor insights & foot-traffic data (Places Patterns)?To see more, preview & download all SafeGraph Places, Patterns, & Geometry data from SafeGraph’s Data Bar.Or drop us a line! Your data needs are our data delights. Contact: support-esri@safegraph.com

Global IT Jobs Analysis

A Detailed Investigation of Salary, Location, and Job Requirements

By [source]

About this dataset

This dataset contains valuable insights into current job opportunities in the information technology (IT) sector all around the world. It offers an overview of available jobs and relevant data such as company, location, salary and links to further information. With this insight, one has the chance to better understand what it takes to land a remote or data-science job in today's global market. The ever increasing demand for IT workforce puts technical skills at a premium, so understanding exactly what employers are searching for can give potential employees an edge in catching the eye of these businesses! Digging through this dataset can provide details on current trends in terms of salary expectations and geographical locations where these roles are most popular. Beyond that, get an idea about which abilities seem most valuable when it comes to remote or data-science positions. Use this arsenal of knowledge to take your career goals into your own hands now!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides an opportunity to explore the remote and data-science job opportunities around the world. Using this dataset, you can analyze trends in job requirements, salary packages offered, location of available jobs and more. With the knowledge gained from this data set, individuals and companies can make more informed decisions about pursuing a certain path in their career or hiring for their business.

The dataset includes columns with important information such as Job title, Company offering the job, Location of the position , Salary offered for that position and a Link to its respective posting. Using these columns you can analyze various factors regarding global IT Jobs availability over different locations in alignment with salary offered for positions and any specific skill sets sought out by companies .

To get executable insights from this data set users should first load it into their respective computing environment (Python or R). After loading it in your environment users should start off by exploring Groupby statements along factors like Companies offering jobs ,Salary offered ,Location etc. followed by descriptive statistics like mean & median of Salary Levels per country/region etc. After getting basic insight about summary statistics for various factors belonging all together within “Job” range user could move forward to look over individual cases (specific skill sets) after which they could filter out & generate valueable insights needed .

With our comprehensive understanding of global supply & demand rates individuals/corporations could always use these datasets to help them keep track on talent acquisition landscape when they hire globally or relocating teams as companies who need such information would greatly benefit from versatile tools like this one that offer valuable actionsable insights on an ongoing basis depending upon dayers choosing!

Research Ideas

• Identifying the most in-demand skills and employment requirements for remote data science and IT jobs, across different countries and regions.
• Developing a prediction model to forecast future salary expectations for data science professionals based on location, company, job type, etc.
• Building an interactive dashboard with visualizations showing differences in job requirements (by level of experience or education), salary comparison across geographies as well as potential career paths one can pursue within the IT or Data Science fields

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Job_listing.csv | Column name | Description | |:--------------|:---------------------------------------------------| | Job | The title of the job listing. (String) | | Company | The name of the company offering the job. (String) | | Location | The geographic location of the job. (String) | | Salary | The salary offere...

The dataset contains year- and company-wise compiled data on the number of locations where markets are served, plants and offices are located of the top 1000 companies listed by market capitalization in Business Responsibility and Sustainability Reporting (BRSR)

Note: We have observed certain discrepancies in the units mentioned by a few companies in their BRSR submissions between the PDF files and the corresponding XML files. The datasets on Dataful contain the units provided in the XML submissions. We recommend that you verify the information directly with SEBI and/or the respective companies in case you observe any such discrepancy.

The factory enterprise status data is structured to comprehensively understand the overall information of the companies located in the industrial complex. The main items include the company name, representative name, and phone number, allowing basic identification and contact for each company, and the company's location information can be checked through the industrial complex name and knowledge industry center name. In addition, the employment status and the proportion of foreign employees can be identified through the workforce composition data such as male employees, female employees, foreign male employees, foreign female employees, and the total number of employees. The industry name and industry number specifically indicate the industrial field in which the company operates, and are used to analyze the distribution and characteristics by industrial group. The use area information indicates the designated use in the urban planning of the area where the factory is located, and is helpful in analyzing the appropriateness of the location and future development potential. By comprehensively utilizing this data, the characteristics of companies in the industrial complex, employment structure, utilization of foreign labor, industrial distribution, location characteristics, etc. can be analyzed in a three-dimensional manner.

This data represents the status of companies located in industrial complexes in North Jeolla Province. It consists of information such as the industrial complex name, company name, industry type, and data reference date. It allows users to see which industries are represented in each complex, and even indicates cases where the same company operates multiple industries, helping to understand the complex's diverse industrial structure. This data enables statistical analysis of industry distribution by complex, the location status of specific industries, and the number of companies within each complex. It can be utilized for business attraction strategies, industrial policy development, and understanding the regional industrial ecosystem. In particular, it can be used to identify specialized industries for a given complex based on the industries of its resident companies and as a basis for setting investment attraction priorities.

Academic and demographic information on co-located schools. Data in the Co-Location Report pertains to the 2019-20 school year except for Graduation rates, which pertain to the 2018-19 school year.

US Startup companies over time (Timeseries)

Startup companies in the US from 2008

About this dataset

The dataset contains information on startup companies in the US from 2008, including company name, location, team size, number of founders, and other relevant information. This data can be used to empower the next wave of entrepreneurs by providing insights on what types of startups are being founded, where they are located, and how large their teams are. Additionally, this dataset can be used to understand trends in the startup industry over time.

Research Ideas

• Study the trend of startups over time.
• Track the number of startups in each industry and compare companies and industries.
• Identify geographies with a high concentration of startups for recruiting purposes.
• Map the development cycle of a startup from ideation to successful exit.

Acknowledgements

The dataset was first posted here

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: company.csv | Column name | Description | |:-----------------------|:---------------------------------------------------------------------------| | company_name | The name of the startup company. (String) | | link | A link to the company's website. (String) | | short_description | A short description of the company. (String) | | founded | The year the company was founded. (Integer) | | team_size | The number of people on the company's team. (Integer) | | location | The city where the company is located. (String) | | country | The country where the company is located. (String) | | no_founders | The number of founders of the company. (Integer) | | no_company_socials | The number of social media accounts associated with the company. (Integer) | | no_tags | The number of tags associated with the company. (Integer) |

File: company_social_to_social.csv

File: company_to_tag.csv

File: founder.csv | Column name | Description | |:--------------|:------------------------------------------------| | name | The name of the startup company. (String) | | role | The role of the person in the company. (String) |

File: founder_social_to_social.csv

File: socials.csv | Column name | Description | |:--------------|:-----------------------------------------------------| | social | A list of social media links for the company. (List) |

File: tags.csv | Column name | Description | |:--------------|:------------------------------------------| | tag | The name of the startup company. (String) |

File: ycombinator_all.csv | Column name | Description | |:-----------------------|:---------------------------------------------------------------------------| | company_name | The name of the startup company. (String) | | link | A link to the company's website. (String) | | short_description | A short description of the company. (String) | | founded | The year the company was founded. (Integer) | | team_size | The number of people on the company's team. (Integer) | | location | The city where the company is located. (String) | | no_founders | The number of founders of the company. (Integer) | | no_company_socials | The number of social media accounts associated with the company. (Integer) | | no_tags | The number of tags associated with the company. (Integer) | | country | The country where the company is located. (String) |

**File: ...

This data provides information on companies (small businesses) that are agents for the installation and management of private sewage treatment facilities in 31 cities and counties in Gyeonggi Province. Key items include business name, city/county name, permit date and cancellation date, business status, location address (road name and lot number), area, phone number, environmental work type, industry type, type, main product, discharge and prevention facility operating hours and annual operating days, location coordinates (WGS84 latitude/longitude, X/Y coordinates), etc. This data can be used for analysis of the sanitation management status of non-public sewage treatment facilities, basic data for environmental pollution management administration, and understanding the status of the private environmental service market. In particular, operation information on discharge and prevention facilities serves as an important indicator for understanding the status of pollutant management. The data is also provided as an Open API, so various entities such as the Ministry of Environment, local governments, and private research institutes can utilize it in real time.

Comprehensive dataset containing 5 verified Tom James Company locations in Pennsylvania, United States with complete contact information, ratings, reviews, and location data.

Location Intelligence And Location Analytics Market size was valued at USD 15.84 Billion 2023 and is projected to reach USD 50.88 Billion by 2030, growing at a CAGR of 11.59% during the forecasted period 2024 to 2030

Global Location Intelligence And Location Analytics Market Drivers

The growth and development of the Location Intelligence And Location Analytics Market drivers. These factors have a big impact on how Location Intelligence And Location Analytics are demanded and adopted in different sectors. Several of the major market forces are as follows:

Proliferation of Spatial Data: A rich source of data for location intelligence and analytics is made possible by the exponential increase of spatial data produced by sources including GPS-enabled devices, Internet of Things sensors, and geographic information systems (GIS). In order to extract meaningful insights, there is a growing need for sophisticated tools and technologies due to the volume and diversity of spatial data.

Location-Based Services (LBS) are Growing: The demand for location intelligence and analytics solutions is fueled by the widespread use of location-based services including ride-sharing services, navigation apps, and location-based marketing. Companies use location data to target services based on local context, optimize operations, and improve customer experiences.

Need for Real-time information: To make wise judgments swiftly in the hectic business world of today, businesses need to have real-time access to location-based information. Businesses may increase agility and responsiveness by using location intelligence and analytics solutions to monitor events, identify patterns, and react to changes in real-time.

The amalgamation of location: intelligence and analytics with nascent technologies such as artificial intelligence (AI) and the Internet of Things (IoT) amplifies their potential and value proposition. Through the integration of sensor data, AI algorithms, and location data, enterprises may gain more profound understanding, anticipate future patterns, and streamline their decision-making procedures.

Urbanization and Smart City Initiatives: The use of location intelligence and analytics solutions is fueled by the global trend toward urbanization and the growth of smart city initiatives. These technologies help municipalities, urban planners, and government agencies create sustainable and effective urban environments by optimizing infrastructure development, city planning, and service delivery.

Cross-Industry Applications: Location analytics and intelligence are useful in a variety of industries, such as banking, logistics, healthcare, and retail. Businesses use location-based data to increase risk management, streamline supply chains, target customers more effectively, and increase operational efficiency across a range of company operations.

The Community Business Enterprise (CBE) Program encourages business owners who are minorities, women, disabled veterans, or disadvantaged to capitalize on opportunities in government and private-sector procurement programs. For more information, please see the LA County Department of Consumer & Business Affairs website. This layer is an extract of the CBE dataset in August 2021. In default settings, the layer is symbolized to highlight minority business enterprises (MBE). This layer is distinct from similar upload in that this layer has supervisor district (sup_dist) and service planning area (spa) as attributes, based on "center in" spatial join.

For more information about this dataset, please contact egis@isd.lacounty.gov