Business intelligence is a way to turn raw data into meaningful and useful information. TD Bank uses business intelligence to be more effective, strategic, tactical and better with business decision making. For example, when lending TD Bank uses a Decision Support System (DSS) that collects and analyzes customers responses to questions about there property and finances. From this, the customer will be notified of the loan decision after 15 minutes. From a few questions, this system is able to let one know if they qualify for a loan without an actual person having to look through papers of information. TD Bank also collects raw data such as how many customers rent or own, apply for grants, request non-English speaking consultants, and need long term below market rate financing. With this raw data, they are able to come up with percentages and mine the data to see the need in the community. TD Bank found that there were more rentals than the owning of a home so this expressed the need for affordable housing. TD Bank saw the need for rehabilitation funds and grants; in this case, so they made sure they provided more of this needed service. And from the raw data they collect, they were and are able to prioritize their business decisions to fill the greatest need of the community first. Also, easy to read and understand tree views and cluster plots, is how TD Bank uses data intelligence to their benefit to mine data. This bank also has a data warehouse manager who measures and monitors the level of service, analyzes trends, agrees on service target levels and determines appropriate actions. This person is an invaluable person who uses data intelligence to make this company run smoothly. To top it off, TD Bank manages to deliver fast, consistent customer service with all the information coming into the business via web, email and phone. Much credit is due to there exceptional data and business intelligence.