Better data for intelligent decisions.
Introducing Data Quality Management
Poor data can be toxic to a business. With the wrong data, you’ll arrive at wrong decisions, which guide your enterprise down a dangerous path, falling far behind your competitors. A strong Data Quality Management strategy tackles data challenges and improves its quality by assessing measuring, monitoring, and remediating problems as they occur. With a robust Data Quality Management strategy, you can guarantee the preservation of your enterprise’s data to ensure it’s of the highest value. Your competitors will look to you for the antidote to bad data.
We know all data isn’t made equally. Good data will bolster innovation and deliver trusted and accurate insights while lower quality data can have long-lasting, damaging effects to your organization. With the help of a strong Data Quality Management strategy, your enterprise can maintain and deliver a higher return on your data investment. Don’t damage your reputation with bad data and terrible decisions. You work hard to propel your business’ success.
How can we help
Utilizing our proven methodologies and implementation expertise, Adastra’s Data Quality Management solutions ensure accurate, on-time data and its governance. We will assess your current condition, cleanse, and design automated and business-driven remediation methods to ensure the longevity of your data quality. We build platforms for your organization’s goals and go the extra mile to help you accomplish them.
Our Data Quality Services include:
- DQ Audit/Assessment
- DQ Program Assessment
- DQ Business Value Assessment
- DQ Workshops for Stakeholders
- Planning and Program Definition
- DQ Corporate Strategy Definition
- DQ Roadmap
- DQ Methodology Establishment
- DQ/MDM Tool Selection Implementation
- DQ Strategy Implementation
- Data Cleansing and De-duplication
- DQ Measurement and Reporting
- DQ Firewall
- DQ Tool Implementation
- DQ Training and Mentorship
- DQ Cloud Readiness and Implementation