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Microsoft Business Central

Microsoft Business Central

Blog Article



Microsoft Business Central, formerly known as Microsoft Dynamics NAV, is an all-in-one business management solution designed for small to medium-sized businesses. It provides businesses with tools for managing financials, sales, purchasing, inventory, operations, and project management. Business Central is built on the Microsoft Dynamics platform, which means it is tightly integrated with other Microsoft products such as Office 365, Power BI, and Azure. This allows businesses to streamline their processes and data across different applications.

Some of the key features of Business Central include:

Financial Management: Business Central provides tools for managing financials, including general ledger, accounts payable and receivable, cash management, fixed assets, and financial reporting.

Sales and Purchasing: Business Central includes functionality for managing sales orders, purchase orders, invoicing, and pricing.

Inventory Management: Business Central provides tools for managing inventory, including item tracking, bin management, and inventory forecasting.

Manufacturing: Business Central includes functionality for managing manufacturing processes, including bill of materials, production orders, and capacity planning.

Project Management: Business Central includes tools for managing projects, including project costing, resource management, and time and expense tracking.

Business Intelligence: Business Central includes Power BI, which provides business intelligence and data visualization tools.

Business Central can be deployed either on-premises or in the cloud. Businesses can choose to subscribe to a cloud-based version of the software, which is hosted on Microsoft Azure and accessed through a web browser, or they can deploy the software on their own servers.

Overall, Microsoft Business Central is a comprehensive business management solution that provides businesses with the tools they need to manage their operations, streamline their processes, and make data-driven decisions.

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