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Information Architecture Team to Study How Organizations View Data Quality

Flemington, NJ- Companies wishing to implement data warehousing, CRM, BI, and other data-centric projects have found that poor data quality is a major stumbling block to their projects' success. According to The Data Warehousing Institute, data quality problems cost U.S. businesses more than $600 billion a year. The problems that arise due to poor data quality are only recently coming to light, and organizations are struggling with solutions to work through their poor data predicament.

The troubles caused by poor data quality cannot be ignored. Information Architecture Team (IAT), a company that specializes in data quality, realizes that poor data quality leads to poor decision making. Data can be utilized as a strategic resource if-and only if-it can be leveraged as information: "When organizations know, organizations win."

IAT hopes that (1) companies realize the implications that poor data quality bring to businesses, both in terms of present costs and lost business, and that (2) companies realize that improving data quality is a corporate-wide initiative. The suspicion, however, is that not all businesses know this yet. To gauge how companies view the quality of their data and how it impacts their bottom line, IAT has released a survey about data quality. This survey hopes to learn what companies are doing to improve their data, if they are doing anything at all. Furthermore, IAT wants to expose the costs (both short and long term) of not initiating a data quality strategy.

To participate in this survey, please visit www.ia-team.com/dqa-survey.

Results of the survey will be published here in the near future.