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Benefits of Data Profiling

Profiling provides quantifiable benefits; you can calculate the value.  See who can benefit from data profiling and learn why profiling can increase the effectiveness of extract, transform and load (ETL) tools.

  1. Identifies Data Entry Errors
  2. Avoids Data Migration Rework
  3. Quantifies Data Corruption
  4. Optimizes Data Management Environment
  5. Increases Efficacy of Major Data Tools
  6. Enables enterprise-level data 
  7. Enables meta-data repository

 

 

  1. Identifies Data Entry Errors
    Ideally, your systems were designed with checks and edits to protect against data entry errors.  In reality, there ends up being a tradeoff between quality control and processing throughput.  Every system lets data errors in.  ProfilerSuitcase saves you money by detecting errors before they cost you dollars and customers. 
     
  2. Avoids Data Migration Rework
    Critical human resources can be targeted to resolve data anomalies rather than in manual investigation or costly rework.  Significant savings result when anomalies are addressed up-front with risk management strategies, rather than in endless cycles of migrate, fix fallout, reattempt to migrate. 
     
  3. Quantifies Data Corruption
    By quantifying degrees of corruption, a business can make a knowledgeable decision about where corrective efforts will be most effective. 
     
  4. Optimizes Data Management Environment
    Identifying and removing unnecessary, redundant and obsolete data streamlines the technical environment.  Disk space is freed up, resulting in direct savings in both the environment and administration costs.
     
  5. Increases Efficacy of Major Data Tools
    Profiling results can be used to increase the effectiveness of source-to-target transformation mappings in ETL tools.  And a business intelligence tool can use derived quantitative measurements of the structure within data content to create statistical models of the attribute domain.   
     
  6. Enables enterprise-level data 
    When used with other processes to evaluate applications, KnowledgeDriver provides significant input for defining an enterprise view of data. 
     
  7. Enables meta-data repository
    Meta-data is a natural by-product of profiling. 
     

Find out who needs data profiling . . . 

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