Restaurant sample
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https://marketplace.databricks.com/details/cabb841e-27e2-42bb-9caa-e103c9671156/Enigma_Restaurant-sample
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资源简介:
**Overview**
This is a sample of 50 restaurants from Enigma’s data on the identity and financial health of small businesses. You can see data on the corresponding locations for each of these restaurants in the location level sample.
By engineering better data from hundreds of public and third-party sources, Enigma tells the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive.
**Use cases**
🎯 **Sales and marketing**
Enigma’s Sales & Marketing data platform powers better targeting, segmentation, and engagement. Prospect for the long tail of businesses, no matter how small or unique.
⛳ **Risk and underwriting**
Gain early visibility into business performance. Accurate intelligence about the identity and financial health of businesses helps you dynamically manage risk.
📋 **Onboarding and KYB**
Streamline KYB with more instant approvals. Cut operational overhead, onboard more customers, and reduce a lengthy KYB process with Enigma.
🕵️ **Customer and transaction screening**
Enigma offers industry leading performance in sanctions and watchlist screening, helping institutions achieve compliance with greater confidence, speed, and accuracy than ever before.
**Data dictionary**
- **business_id** - Enigma’s unique identifier for this business.
business_name - The name of the business. A single name in this simplified sample, but can include all known names or aliases of the business.
- **operating_status** - Enigma’s assessment of whether the business is active in the real world as indicated by transactions with customers. Confidence can be included.
- **last_12m_monthly_card_revenue** - The business' average monthly card revenue in the 12 months leading up to the date this sample was published.
- **annual_card_revenue_growth_rate** - The business' change in revenue in the past 12 months from the 12 months prior, expressed as a percentage.
- **last_12m_daily_customers** - The average number of customers that transacted with this business each day in the past 12 months.
- **last_12m_monthly_card_transactions** - The average monthly transaction counts (swipes) a business receives from credit and debit card transactions.
- **has_online_payments** - Whether a business ever has an online payment service.
- **technologies_used** - The payment technologies used by the business.
- **primary_phone_number** - The phone number(s) associated with the business. Separately, Enigma also has phone numbers for specific contacts at the business.
- **primary_website** - The primary website associated with the business. A single website in this simplified sample, but can include all known websites of the business.
- **primary_address_street1** - The street name (and number) of the mailing address associated with the main business.
- **primary_address_street2** - The suite name, floor name, or other granular information of the mailing address associated with the main business.
- **primary_address_city** - The city of the mailing address associated with the main business.
- **primary_address_state** - The US state of the mailing address associated with the main business.
- **primary_address_postal_code** - The US zip code of the mailing address associated with the main business.
- **primary_industry_NAICS_code** - The North American Industry Classification System (NAICS) code of the business industry.
- **industry_NAICS_description** - The NAICS category name. Enigma also offers its own brief descriptions of the industry the business operates in.
See our [documentation](https://developers.enigma.com/docs/welcome) for more information on Enigma’s data.
提供机构:
Enigma



