Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

This is a relational database schema for a sales and order management system, designed to track customers, employees, products, orders, and payments. Below is a detailed breakdown of each table and their relationships:

1. productlines Table (Product Categories)

• Represents different product categories.
• Primary Key: productLine
• Attributes:
  • textDescription: A short description of the product line.
  • htmlDescription: A detailed HTML-based description.
  • image: Associated image (if applicable).
• Relationships:
  • One-to-Many with products: Each product belongs to one productLine.

2. products Table (Product Information)

• Stores details of individual products.
• Primary Key: productCode
• Attributes:
  • productName: Name of the product.
  • productLine: Foreign key linking to productlines.
  • productScale, productVendor, productDescription: Additional product details.
  • quantityInStock: Number of units available.
  • buyPrice: Cost price per unit.
  • MSRP: Manufacturer's Suggested Retail Price.
• Relationships:
  • Many-to-One with productlines (each product belongs to one category).
  • One-to-Many with orderdetails (a product can be part of many orders).

3. orderdetails Table (Line Items in an Order)

• Stores details of each product within an order.
• Composite Primary Key: (orderNumber, productCode)
• Attributes:
  • quantityOrdered: Number of units in the order.
  • priceEach: Price per unit.
  • orderLineNumber: The sequence number in the order.
• Relationships:
  • Many-to-One with orders (each order has multiple products).
  • Many-to-One with products (each product can appear in multiple orders).

4. orders Table (Customer Orders)

• Represents customer orders.
• Primary Key: orderNumber
• Attributes:
  • orderDate: Date when the order was placed.
  • requiredDate: Expected delivery date.
  • shippedDate: Actual shipping date (can be NULL if not shipped).
  • status: Order status (e.g., "Shipped", "In Process", "Cancelled").
  • comments: Additional remarks about the order.
  • customerNumber: Foreign key linking to customers.
• Relationships:
  • One-to-Many with orderdetails (an order contains multiple products).
  • Many-to-One with customers (each order is placed by one customer).

5. customers Table (Customer Details)

• Stores customer information.
• Primary Key: customerNumber
• Attributes:
  • customerName: Name of the customer.
  • contactLastName, contactFirstName: Contact person.
  • phone: Contact number.
  • addressLine1, addressLine2, city, state, postalCode, country: Address details.
  • salesRepEmployeeNumber: Foreign key linking to employees, representing the sales representative.
  • creditLimit: Maximum credit limit assigned to the customer.
• Relationships:
  • One-to-Many with orders (a customer can place multiple orders).
  • One-to-Many with payments (a customer can make multiple payments).
  • Many-to-One with employees (each customer has a sales representative).

6. payments Table (Customer Payments)

• Stores payment transactions.
• Composite Primary Key: (customerNumber, checkNumber)
• Attributes:
  • paymentDate: Date of payment.
  • amount: Payment amount.
• Relationships:
  • Many-to-One with customers (each payment is linked to a customer).

7. employees Table (Employee Information)

• Stores details of employees, including reporting hierarchy.
• Primary Key: employeeNumber
• Attributes:
  • lastName, firstName: Employee's name.
  • extension, email: Contact details.
  • officeCode: Foreign key linking to offices, representing the employee's office.
  • reportsTo: References another employeeNumber, establishing a hierarchy.
  • jobTitle: Employee’s role (e.g., "Sales Rep", "Manager").
• Relationships:
  • Many-to-One with offices (each employee works in one office).
  • One-to-Many with employees (self-referential, representing reporting structure).
  • One-to-Many with customers (each employee manages multiple customers).

8. offices Table (Office Locations)

• Represents company office locations.
• Primary Key: officeCode
• Attributes:
  • city, state, country: Location details.
  • phone: Office contact number.
  • addressLine1, addressLine2, postalCode, territory: Address details.
• Relationships:
  • One-to-Many with employees (each office has multiple employees).

Conclusion

This schema provides a well-structured design for managing a sales and order system, covering: ✅ Product inventory
✅ Order and payment tracking
✅ Customer and employee management
✅ Office locations and hierarchical reporting

Local businesses form the foundation of many economies. From independent service providers to growing regional companies, small and local businesses represent a large share of potential customers, partners, and opportunities.

The Local Business Database from Lead For Business provides structured information on local companies along with professional contact details connected to those businesses. The dataset helps organizations identify local companies, understand what they do, and connect with the professionals responsible for running them.

Rather than offering a simple list of businesses, the dataset combines business contact data with company information and location details. This allows teams to identify companies operating within specific areas and focus outreach on businesses that match their target market.

Organizations commonly use this dataset as a local business email list, a small business database, or a local business leads dataset when researching markets or building prospect lists.

Geographic Coverage

The dataset includes businesses operating across multiple cities, regions, and local markets.

Companies are associated with location information that allows users to identify businesses within specific geographic areas.

Typical geographic attributes included in the dataset may cover:

cities states or provinces regions postal areas

This location-based structure allows organizations to focus on companies operating within specific cities or local markets.

For example, a company expanding its services to a new city may use the dataset to identify businesses operating within that region and begin outreach to potential customers or partners.

Industry Representation

Local businesses operate across a wide range of industries, and the dataset reflects this diversity.

Common sectors represented include:

Professional services Retail businesses Healthcare and wellness Construction and home services Hospitality and tourism Education and training Marketing and advertising agencies Technology and IT services Automotive services Local service providers

Because business contacts are linked with company attributes, users can easily focus on specific industries or analyze businesses across sectors.

For example, a marketing agency may focus on retail and ecommerce businesses, while a technology provider may target professional services firms.

Data Fields Included

Each record combines business contact information with company and location details.

Business Contact Information

First Name Last Name Job Title Business Email Address LinkedIn Profile URL Company Name Company Domain Country City

Company Information

Company Name Website Domain Industry Employee Count Revenue Range Headquarters Location Company Description Founded Year

Location and Business Attributes

Company Size Business Category Geographic Region

These attributes help organizations understand both the company and the professionals working within it.

How Organizations Use This Dataset

Local business datasets are used by many types of organizations.

Sales Prospecting

Sales teams often target local businesses when introducing products or services. Access to business contacts allows them to reach companies within specific regions.

Local Marketing Campaigns

Marketing teams running regional campaigns may use the dataset to identify businesses operating within specific cities or markets.

Partnership Development

Companies seeking partnerships with local service providers or regional businesses can use the dataset to identify potential partners.

Market Research

Researchers may analyze business listings to understand how companies are distributed across local markets and industries.

Recruitment Research

Recruitment teams sometimes use company databases to identify small businesses operating in specific regions.

Because of these uses, the dataset is often searched as a business listing database, a local company database, or a small business contact list.

Data Sources and Organization

The dataset is compiled using information gathered from publicly available professional and business sources including:

company websites business directories professional profiles public business records

Collected information is structured and standardized so it can be easily used in CRM systems, analytics platforms, or internal prospecting tools.

This structured format helps ensure that businesses and contacts are represented consistently across the dataset.

Dataset Updates

Local business environments evolve as companies open, close, or change their operations.

To maintain relevance, the dataset is reviewed and refreshed periodically through update cycles that may include:

monthly updates quarterly dataset refreshes periodic record revisions

These updates help ensure that business listings and contact information remain useful over time.

Compliance

The dataset is maintained with attention to widely recognized data protection and marke...

Organizations often need reliable information about companies operating across different industries and regions. Whether the goal is sales outreach, partnership development, or market research, having access to structured company data can significantly improve how teams identify and evaluate potential opportunities.

The B2B Company Database from Lead For Business provides detailed company profiles together with business contact information. The dataset helps organizations identify companies, understand what they do, and connect with professionals working within those organizations.

Instead of offering a simple list of businesses, the dataset combines company intelligence with business contact records. This structure allows users to explore company attributes such as industry, company size, and geographic location while also accessing the relevant contacts associated with those companies.

Organizations commonly use the dataset as a company database, B2B company list, or business contact database when building prospect lists or analyzing industries.

Dataset Coverage

The dataset includes companies operating across multiple industries and geographic regions.

Businesses represented range from small organizations to large enterprises operating in global markets.

Users can filter records using attributes such as:

industry

company size

geographic location

business category

This flexibility allows teams to focus on companies that match their ideal customer profile.

For example, a software company may focus on technology firms, while a consulting organization may analyze companies operating within manufacturing or financial services.

Because of this structure, the dataset is frequently used as a B2B company dataset or business database for market exploration.

Industry Representation

Companies included in the dataset operate across a wide variety of sectors.

Common industries represented include:

Technology and Software Financial Services and Fintech Healthcare and Life Sciences Manufacturing and Industrial Services Retail and Ecommerce Marketing and Advertising Professional and Consulting Services Logistics and Transportation Education and Training Media and Telecommunications

Industry segmentation allows organizations to identify companies operating in specific markets or compare businesses across sectors.

Data Fields Included

Each record contains structured company information along with business contact attributes.

Company Information

Company Name Website Domain Industry Employee Count Revenue Range Headquarters Location Company Description Founded Year

Business Contact Information

First Name Last Name Job Title Business Email Address LinkedIn Profile URL Company Name Country City

Additional Attributes

Company Size Business Category Geographic Region

These fields allow organizations to analyze companies and identify professionals working within those organizations.

Common Use Cases

Organizations use company databases for several business purposes.

Sales Prospecting

Sales teams frequently rely on company datasets to identify organizations that match their target market and reach professionals responsible for purchasing decisions.

B2B Marketing

Marketing teams may use company information to build targeted campaigns aimed at businesses within specific industries.

Market Research

Researchers and analysts often use company datasets to analyze how businesses are distributed across sectors and regions.

Partnership Discovery

Companies exploring strategic partnerships may use the dataset to identify organizations aligned with their business goals.

Recruitment Research

Recruitment teams sometimes use company databases to identify organizations operating in specific industries or geographic markets.

Because of these uses, the dataset is often searched as a B2B sales database, contact information database, or business contact database.

Data Sources and Structure

The dataset is compiled using information gathered from publicly available professional and business sources including:

company websites

professional profiles

business directories

public corporate records

Collected information is standardized and structured so it can be easily used in CRM systems, analytics platforms, or internal prospecting workflows.

This consistent structure ensures that company profiles and business contacts can be integrated into existing business systems.

Dataset Updates

Businesses evolve constantly as companies grow, merge, relocate, or update their leadership teams.

To maintain relevance, the dataset is reviewed and refreshed periodically through update cycles that may include:

monthly updates

quarterly dataset refreshes

periodic record revisions

These updates help ensure that company information remains accurate and useful for business analysis.

Compliance

The dataset is maintained with attention to widely recognized data protection and marketing regulations including:

GDPR CCPA CA...

The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

Comprehensive list containing 73 verified Database management company businesses in Massachusetts, United States with lastest contact information, ratings, reviews, and location data.

Comprehensive list containing 37 verified Database management company businesses in New Jersey, United States with lastest contact information, ratings, reviews, and location data.

Unlock business intelligence with 60 million company domains at your fingertips.

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.

Dataset

This dataset was created by Md Sadiul Haque

Contents

Comprehensive list containing 30 verified Database management company businesses in State of Paraná, Brazil with lastest contact information, ratings, reviews, and location data.

• The dataset consists of global companies' data sourced and enriched from LinkedIn, with multiple attributes specific to the company including current_technologies and total_funding
• The dataset can be useful for analysis of industry trends, company growth patterns, technology adoption, along with regression analysis to understand if any feature with continuous data can be expressed as a function of other independent variables.

Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.

AF: New Businesses Registered data was reported at 4,274.000 Number in 2018. This records an increase from the previous number of 3,022.000 Number for 2017. AF: New Businesses Registered data is updated yearly, averaging 3,374.000 Number from Dec 2009 (Median) to 2018, with 10 observations. The data reached an all-time high of 4,759.000 Number in 2010 and a record low of 2,255.000 Number in 2015. AF: New Businesses Registered data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Afghanistan – Table AF.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.;World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).;;For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

PA: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 0.837 Number in 2016. This records an increase from the previous number of 0.667 Number for 2015. PA: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 0.652 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 0.847 Number in 2014 and a record low of 0.245 Number in 2006. PA: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Panama – Table PA.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

Data base of large business groups and their structure. Updated: Ad hoc. Data available for 2005/06

The Mississauga Business Directory shows the geographic location of the businesses within Mississauga. It lists only the businesses that agreed to be included in the Business Directory. The dataset comprises of the following fields:Business IDBusiness NameStreet AddressBuilding NumberUnit NumberPostal CodeCharacter AreaWardBusiness PhoneBusiness FaxBusiness Toll Free NumberBusiness E-mailBusiness Web AddressEmployee RageNAICS CodeNAICS TitleNAICS DescriptionDate Employment Number was updatedSector Description

Comprehensive list containing 22 verified Database management company businesses in State of Rio Grande do Sul, Brazil with lastest contact information, ratings, reviews, and location data.

This database contains financial data for the companies listed in the S&P 500 index, extracted and processed as part of an automation project focused on financial analysis and visualization. The data is stored in a structured format, enabling users to explore key financial metrics and calculate essential financial ratios. The database is designed for scalability and ease of use, providing a foundation for various types of analysis, including profitability, liquidity, and efficiency assessments.

Comprehensive dataset analyzing business directory listings and resources for Fort Carson military families, including official base resources, local Colorado Springs directories, digital tools, and practical solutions for common challenges faced by military personnel and their families when locating services and businesses.