Closing #2 Chap 6 Zillow - Case Study Example

Business intelligence at Zillow allows managers to make better decisions that are beneficial to the company. In Zillow, Zestimate values allow them to use data mining features for spotting trends across property valuations hence creating new products for their customers. Through this technology, they are able to see accurate Zestimate values and allow users to find homes that are for sale and rent based on monthly payment they can afford. Through business intelligence, Zillow launched new products aimed at changing the manner in which Americans shop mortgages by allowing borrowers to use their new mortgage marketplace to get custom loan quotes from lenders without giving their details.

The marketing department at Zillow can easily use data mart to release a new product by taking advantage of databases that are stored in details. Through their data warehousing systems, they can store the same information in aggregated form more suited to support decision-making process. The warehouse can then be used to compile information from internal databases and external databases through extraction, transformation, and loading during launching of new products. Accurate information is of great importance to Zillow since they need such information to make accurate choices on how they intend to run their business.

Any information that is not accurate misleads the managers as they make their daily choices that can eventually lead to reduced profits in the business. All information needed by Zillow should be complete to ensure that there is no value lacking in the information provided. Incomplete information can also lead the management in making wrong decisions that can eventually bring the company down. Zillow needs information that is ever flowing at a constant speed as they are availed so that they become useful to the management.

Inconsistency of information can disrupt the decision-making process that would in