A database is a collection of data which has been organised so that a computer program can quickly select desired items. This could be something as straightforward as a list of names in alphabetical order or an ascending list of numeric stock codes. The secret to the successful use of database technology is the way in which data or information is structured to enable efficient processing.

The gathering, processing and use of information relating to the operations of a business are vital to its success. Even something as simple as a customer mailing list needs to be managed appropriately if it is to be kept up to date and accurate. Therefore, any tools or applications that can make the tasks involved easier and more efficient need to be given serious consideration.

Database tools and applications are designed to help you store and manage data in a controlled and structured manner to minimise workload.

For most businesses, the more you know about your customers, suppliers and competitors, the better. Therefore the gathering, storing and processing of information in the form of databases can provide you with a distinct advantage.

Many businesses do not have the time or resources available to gather and process large quantities of information. Therefore they may lack information about how their business is performing, how profitable their product lines are, whether customers are making repeat purchases, etc.

However, as it's not always obvious what information is potentially valuable, you should try to gather as much data as possible. Having all this information can help you deal with specific operational problems or shape your ongoing processes. Digital Tree can customise a database to suit your business.

Main benefits of a Database are:

1. Mainly to store client info / business process info (e.g stock level, payment status, business transaction status… etc)
2. Allow automated events base on client info / business process info (e.g stock level below 20% trigger an order alert or trigger a response)
3. And most importantly, for data-mining process – for sales and marketing