WHAT IS A DATA QUALITY REVIEW? 

A very expedient and efficient method to determine the impact of DQ on your organization. Despite the speed of the process it entails the most comprehensive look at Data Quality your organization has ever had.

 Overview of schedule:

-  Opening Conference:
   (1-2 hours)
-  Meeting with stakeholders to properly focus review
-  On-site or Off-site Analysis and Feedback:
   (1-3 days average per location)
-  Key person and end-user interviews
-  Observations of  systems usage
-  Spot checking of Data Quality
-  Review of  technical infrastructure
-  Detailed review of data sample 

The Goals of a Data Review:

-  Identify current levels of data quality
-  Identify business practices that affect data quality
-  Understand the "data flow" in your organization
-  Identify and survey the end-users of your data
-  Evaluate your data collection processes
-  Evaluate business rule violations through profiling
-  Understand and evaluate your data policies


Preliminary Findings and Recommendations:

A Meeting with Stakeholders that covers: 

1)      Current state of your data quality

2)   Current state of data management

3)      What are the costs of these issues

4)      How they are affecting your company

5)      What can be done to address them

6)      How effectively can they be addressed internally

7)      The investment required to address them externally

8)      The benefits of addressing the issues  

     The Data Review brings you immediate and actionable information to assist in making your data a true competitive advantage for your company.
 

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