IT Performs - The Business Intelligence Specialists

Data Quality Process - Maximising the Value of your Data

White Paper PreviewRegardless of an organisation's current data focus - be it a business intelligence (BI) initiative, building a new data warehouse, gaining a single view of a customer through customer data integration (CDI), or simply improving the effectiveness of operational systems - data quality will always be an issue. Organisations are realising the importance of a data quality solution and investing in a software tool to help with failed IT projects and reduce operational costs within the enterprise.

Robust and easy-to-use data quality, which can be embedded into the data integration process, is a critical part of enterprise information management (EIM). EIM is a set of strategies, practices, and open technologies for delivering trusted, integrated, and timely information. Inside the Business Objects EIM framework, data integration, metadata management, and data quality technologies combine to deliver trusted information right through the information supply chain - and right up to and including the point where it's consumed by end-users.

To continue please fill in the form below, then click on Send Now.

* denotes a required field

 
 
How many different source database systems does your organization manage?
 
Is your organisation currently aware of data quality issues?
 
Does your organisation make use of data quality technology?
 
What impact does data quality have on your organization?
 
Do you have any timeframe for your DQ Project?
 
Name:*
 
Job Title:  
 
Company Name:*
 
Contact Telephone No:*
 
E-mail:*