A community of professionals helping you to  

 

maximize the benefits of audit software  

 

Home >  How To Use Audit Software > Get Data

 

 

 

 

Get Data

One of the most difficult parts of the data extraction and analysis process is obtaining data.....but it doesn't have to be.  Using these tools, the issues in getting data can be minimized.  Getting data separates into three areas:

Requesting Data

Understanding the Types of Data

Verifying Data

 

"Markets require faith.  They require trust and faith in the integrity of data and information and in the reliability of promises. - Kim B. Clark, Harvard Business School Dean

 

Case Studies / Articles

The Cost of Integrity (Intelligent Enterprise) - Explains the value of maintaining enterprise system databases with integrity.

      

   

Tools / Links

Step by Step Guide to Requesting Data - This four step process (Word document) to requesting data includes a template  letter and other useful tips.      

   

  A picture is better than 1,000 words

  Measure Your Data Twice To Audit Once - Auditors should data model their data prior to auditing it to ensure they have a full understanding, and also to help them identify new tests of the area's processing.

   

Download Data Guide (Student and Leader Manuals) - This manual and slides are used by the  INTOSAI EDP Committee for training their staff in understanding and downloading data files.  Due to the large size of these files, they have been zipped into one large self executable zip file.

  

  The Data Quality Assessment (DM Review) - Provides a process to assessing data integrity within disparate systems.

Top Reasons for NOT Getting Data...and How To Overcome It - This brief article provides some sage advice for overcoming the key reasons (or better named as "excuses") for not getting data.      

   

Overall Approach to Data Quality ROI (First Logic) - Explains why organizations need to give more attention to their data quality as a competitive differentiation.  It then provides methods to calculating ROI from improved data quality. Considerations for Data Quality (Will Yancey) - This presentation, focused on sales and use taxes, provides numerous test ideas to ensure  data quality before using the data files.

Click Here for All Related Articles

Click Here for All Related Tools/Links

 

 

 

 

 

 

Copyright and Other Policies