+91-40-66547000 | US Toll Free no :8775424996 | India Toll Free no: 18002660132
Enquiry form
- About Us
- IT Services
- IT Consulting
- Sharepoint Consulting
- Security Consulting
- CRM Consulting-Salesforce
- Oracle CRM on Demand consulting
- BI Solutions
- Mobile Application
- Application Development
- Application Maintenance
- Application Re-engineering
- Custom Application Development
- Product Engineering
- Our Product Engineering Competency
- QA & Testing Services
- Professional Product Development Services
- SOA and Web Services
- SOA Services
- BPM Services
- B2B Integration
- Enterprise Application Integration (EAI)
- Solutions
- MIDAS
- MIDAS
- Data Quality Concerns
- MIDAS Offerings
- MIDAS Engagement Model
- MIDAS Technology
- MIDAS Data Integration Suite
- MIDAS SAP Data Integration
- MIDAS Salesforce Integration
- MIDAS OCRM Integration
- MIDAS Vertical Agnostic
- MIDAS Pharmaceutical Implementation
- MIDAS Healthcare Implementation
- MIDAS Social Networking Analysis
- MIDAS Publishing
- COE
- Clients
- Careers
- Media
- Verticals
- Contact us
- Blog
- MIDAS
- Data Quality Concerns
- MIDAS Offerings
- MIDAS Engagement Model
- MIDAS Technology
- MIDAS Data Integration Suite
- MIDAS SAP Data Integration
- MIDAS Salesforce Integration
- MIDAS OCRM Integration
- MIDAS Vertical Agnostic
- MIDAS Pharmaceutical Implementation
- MIDAS Healthcare Implementation
- MIDAS Social Networking Analysis
- MIDAS Publishing
Data quality is a business problem, not an IT problem. Technology is not going to solve the problem. The business side needs to be involved in being accountable for the data quality and in maintaining the data. Business users know what the data should look like; IT knows where it is and how to access it. Without cooperation and support of both the business staff and IT, the data tends to not meet the needs of the company.
Another mistake is to believe that data quality is a “once done complete” approach. Data quality has to be monitored for consistency and value. Different stakeholders have different data needs. The importance of data also varies over time – what is useful today may not be relevant down the line.
Copyright © 1999-2009. Bodhtree Consulting Limited. All rights reserved.





