Podcast: In Business Intelligence, Data Quality is Job One — Or Should Be

July 13, 2009

Dan Teachey on Data Quality:

Data is undoubtedly a company’s greatest – and often most-underutilized – asset. The information contained in a company’s IT infrastructure is of critical importance to the success of business intelligence (BI) initiatives. Regard teachey less of the type of data or how it is used, data quality technology and processes can analyze the condition of existing data, implement rules that govern acceptable data quality and monitor the health of information over time.

Data quality technology is often used to establish and enforce business rules that monitor data for quality (is the data accurate?) and intent (is the data doing what we need it to do?). By monitoring business rules and removing duplicate or inconsistent data, companies can codify already-established rules and procedures and add these rules within the applications or data sources within the enterprise.

Because data is the foundation of practically everything that goes on in today’s organizations, managing data quality is paramount. An organization’s data is one of the true competitive advantages that it can employ. Data contains insight about the company, its health, its customers and its finances. Even the most sophisticated BI system won’t do any good if the data it analyzes is faulty from the get-go. If the data is not consistent, accurate and reliable, the company will make poor decisions – and see poor results. In this podcast, DataFlux senior director of marketing, Daniel Teachey, discusses how companies can work to maximize the benefits of BI by investing in data quality.

–Daniel Teachey, Senior Director of Marketing, DataFlux

Posted by Carl · Filed Under Business Intelligence, SaaS