Enterprise management system Database Schema Diagram

Here we shared Enterprise management system Database Schema Diagram. This image represents a relational database schema for a system (likely an order management or business application) under the database leenaenterprises. It consists of six tables: orders, products, contact, employees, pages, and admin. This database is designed to streamline and centralize key business functions such as order management, product tracking, customer communication, staff administration, and content/page management.

Here’s an explanation of each table and their relationships:

🔷 orders Table

• Use: Tracks every customer order including the products ordered, quantity, pricing, delivery, and order status.
• Value: Helps manage logistics, track sales, monitor delivery timelines, and analyze order trends.
• Example: A manager can query which orders are pending or delivered, and calculate total revenue from orders.

Purpose: Stores customer orders.

Columns:

• orderid: Primary key.
• productid: Foreign key referencing products.productid.
• enquiryid: Foreign key referencing contact.enquiryid.
• orderdate, deliverydate: Dates related to the order.
• protype, qtytype: Type of product and quantity type.
• quantity: Number of items ordered.
• cost, totalcost: Unit cost and total cost of the order.
• orderstatus: Status of the order (e.g., pending, completed).

Relationships:

• ✅ Linked to products table via productid.
• ✅ Linked to contact table via enquiryid.

🔷 products Table

• Purpose: Stores details about products offered.
• Use: Maintains the list of products the enterprise sells, including type and cost.
• Value: Acts as a master table for product reference in orders, enabling consistent pricing and product info.
• Example: Useful for generating price lists or for checking stock availability if integrated with inventory.

Columns:

• productid: Primary key.
• productname, productinfo, producttype: Basic details.
• cost: Unit cost of the product.

🔷 contact Table

• Purpose: Stores customer contact/enquiry information.
• Use: Stores enquiry details from potential or existing customers.
• Value: Enables tracking of customer queries and follow-ups. It helps build customer history and support.
• Example: Employees can see all enquiries and convert them into orders through the orders table.

Columns:

• enquiryid: Primary key.
• name, staddress, city, pincode, mobile, email, message: Customer contact details.

🔷 employees Table

• Purpose: Stores employee login and identity details.
• Use: Stores login credentials and identity of employees using the system.
• Value: Enables secure access control and tracks employee activity like login sessions.
• Example: Admin can monitor which employee accessed the system and when.

Columns:

• empid: Primary key.
• empname, emploginid, password: Login credentials.
• lastlogin: Last login timestamp.

🔷 pages Table

• Purpose: Likely for content management on a website.
• Use: Manages dynamic web content such as page titles, images, and descriptions.
• Value: Useful for enterprises maintaining a website, allowing non-technical users to manage pages.
• Example: Pages like “About Us,” “Services,” or “Contact” can be managed from this table.

Columns:

• pageid: Primary key.
• pagename, pagetitle: Display info.
• imagepath: Image associated with the page.
• description: Page content or summary.

🔷 admin Table

• Purpose: Admin login and management info.
• Use: Manages administrator access with login and password, similar to employees but with higher privileges.
• Value: Secures high-level access to the system and manages overall database control.
• Example: Admins can add/edit products, view all orders, manage employees, and content pages.

Columns:

• admin_id: Primary key.
• admin_name, login_id, password: Admin credentials.
• last_login: Admin last login timestamp.

🔁 Relationships Summary:

• orders.productid → products.productid (many-to-one)
• orders.enquiryid → contact.enquiryid (many-to-one)

The other tables (employees, pages, admin) are standalone and do not have explicit foreign key relationships in this schema.

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