Company Overview
- Headquarters
- 20 Monroe Ave Nw, Grand Rapids MI
- Website
- thegilmorecollection.com
- Phone
- (616) 356-2000
- Employees
- 133
- Founded in
- 1978
- Industry
- Food Processing
Financials & Stats
Revenue
$100B
Who is Gilmore Collection
. It seems like you're trying to build a database of businesses, and you've started with information about "Gilmore Collection". Here's a breakdown of the data you've provided and some suggestions for organizing it: **Gilmore Collection Data:** * **Name:** Gilmore Collection * **Industry:** Food & Beverage * **Country:** United States * **State:** MI (Michigan) * **City:** Grand Rapids * **Employees:** 133 * **Revenue:** $100M * **URL:** thegilmorecollection.com * **Bio:** A variety of locally owned concepts in West Michigan featuring pizza, pasta, steak, seafood, wine, microbrewery, live music, comedy, bars, dancing, patios for seasonal outdoor dining, and full-service catering and event venues. **Organizing Your Business Database** Here are some ways to structure this information in a database: **1. Spreadsheet (e.g., Google Sheets, Excel):** * **Columns:** Name, Industry, Country, State, City, Employees, Revenue, URL, Bio * **Rows:** Each row would represent a different business. **2. Database Management System (DBMS) (e.g., MySQL, PostgreSQL, MongoDB):** * **Tables:** You could create a table called "Businesses" with columns for the same information as above. * **Relationships:** If you have other related data (e.g., menus, locations, reviews), you could create additional tables and establish relationships between them. **3. NoSQL Database (e.g., MongoDB):** * **Documents:** Each business could be represented as a document with fields for the data points. **Tips for Building Your Database:** * **Define Your Needs:** What specific information do you need to track about each business? * **Choose the Right Tool:** Select a database system that suits your needs (size, complexity, scalability). * **Standardize Data:** Use consistent formats for data types (e.g., dates, numbers, addresses). * **Normalize Data:** Organize data to reduce redundancy and improve efficiency. * **Back Up Your Data:** Regularly back up your database to prevent data loss. Let me know if you have any more questions about database design or if you'd like help with a specific aspect of your project!
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Gilmore Collection Tech Stack
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