Wilks Insurance Agency Inc

You're on the right track! It looks like you're building a database of companies. Here's a breakdown of the information you've gathered and some suggestions to make it even more robust: **What you have:** * **Name:** Wilks Insurance Agency * **Industry:** Insurance * **Location:** * Country: United States * State: OH (Ohio) * City: Hamilton * **Employees:** 23 * **Revenue:** $10K (This seems low for an agency that's been around for 50 years. Consider verifying this) * **URL:** wilksinsurance.com * **Bio:** A good start! You've captured their history and values. **To make it even better:** * **More Specific Location:** Consider adding a zip code or even a full address for more precise location data. * **Contact Information:** Include a phone number, email address, and potentially social media links. * **Services:** What types of insurance does Wilks Insurance Agency specialize in? (e.g., auto, home, life, commercial) * **Founded Date:** Knowing when the agency was established adds context to their history. * **Key People:** If possible, include the names of the agency's owner(s) or key executives. * **Financial Data:** If you can find it, add more detailed financial information (e.g., annual revenue, profit margin). * **Awards/Recognition:** Has the agency received any awards or recognition for its service? **Data Structure:** You can store this information in a variety of ways: * **Spreadsheet:** A simple spreadsheet (like Google Sheets or Excel) is a good starting point. * **Database:** For larger datasets, a database (like MySQL or PostgreSQL) offers more advanced features for querying and managing data. * **JSON or CSV:** These formats are great for exchanging data between applications. Let me know if you have any other questions or need help with specific data points!