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Data Quality

What It Is                                           What it is not
  Data quality refers to the level of fitness
  ?                                                    Data quality is not about the number of
                                                       ?
     it possesses in context with the end use               incorrect fields, the percentage of
     for which it was created.                              addresses that are incorrect, a score on
                                                            accuracy or number of null entries in
  The various facets of data quality
  ?                                                         the database.
     include correctness, accuracy,
     completeness, currency and credibility.           ?not have consistency through
                                                       It does
                                                            time, as every data set changes based
                                                            on business requirements.


Best Practices                                                  Dictionary

     Understand Your Target Market - In order to                     Data Quality Rule – Include
     improve data quality, you need to know who your                 specifications or problems in a
     data is targeted to. The target here refers to an               data set that should be
     entity or concept based on which your data is                   corrected.
     created and applicable.

     Identify Business Rules – Document and code                     Data Governance –The
     ‘pain points’ of subject matter experts (SMEs) in
     order to identify your business rules. Business                 combination of data
     rules based on the subject are more likely to result            management, business
     in successful programmatic execution.                           process management and
                                                                     data quality.
     Define Data Quality – Based on different
     objectives and intent of data creation, the quality
     that needs to be maintained will differ. While for              Data Quality Dimensions -
     some it may mean meeting customer expectations                  Include accessibility, accuracy,
     for other it could be the number of data sets that
     are accurate, current, complete and credible.                   completeness, consistency
                                                                     and credibility.
     Make Everyone Accountable for Data Quality –
     From top management to stakeholders at each
     level of the organization must take ownership of                Database Profiling –The
     maintaining data quality. Only with this support can            analysis of a database to
     data governance committees consistently build                   establish its structure and
     high quality data.
                                                                     internal relationships of
                                                                     different data sets.

     Consider data as your most valuable corporate
     asset, equally responsible for providing a                      Master Data Management
     competitive edge!                                               (MDM) – Is a centralized
                                                                     master data file that is linked
                                                                     to critical data across an entire
                                                                     organization.




   At Info CheckPoint, data quality is not a task,
   or process it’s a discipline and a way of working life!
         Signup for a complimentary
         30 day trial
         Enhance business intelligence with relevant B2B data
   Utilize high-quality databases with Info CheckPoint

  080 - 40858235                   support@infocheckpoint.com                 www.infocheckpoint.com

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Data Quality Cheat Sheet

  • 1. www.infocheckpoint.com Data Quality What It Is What it is not Data quality refers to the level of fitness ? Data quality is not about the number of ? it possesses in context with the end use incorrect fields, the percentage of for which it was created. addresses that are incorrect, a score on accuracy or number of null entries in The various facets of data quality ? the database. include correctness, accuracy, completeness, currency and credibility. ?not have consistency through It does time, as every data set changes based on business requirements. Best Practices Dictionary Understand Your Target Market - In order to Data Quality Rule – Include improve data quality, you need to know who your specifications or problems in a data is targeted to. The target here refers to an data set that should be entity or concept based on which your data is corrected. created and applicable. Identify Business Rules – Document and code Data Governance –The ‘pain points’ of subject matter experts (SMEs) in order to identify your business rules. Business combination of data rules based on the subject are more likely to result management, business in successful programmatic execution. process management and data quality. Define Data Quality – Based on different objectives and intent of data creation, the quality that needs to be maintained will differ. While for Data Quality Dimensions - some it may mean meeting customer expectations Include accessibility, accuracy, for other it could be the number of data sets that are accurate, current, complete and credible. completeness, consistency and credibility. Make Everyone Accountable for Data Quality – From top management to stakeholders at each level of the organization must take ownership of Database Profiling –The maintaining data quality. Only with this support can analysis of a database to data governance committees consistently build establish its structure and high quality data. internal relationships of different data sets. Consider data as your most valuable corporate asset, equally responsible for providing a Master Data Management competitive edge! (MDM) – Is a centralized master data file that is linked to critical data across an entire organization. At Info CheckPoint, data quality is not a task, or process it’s a discipline and a way of working life! Signup for a complimentary 30 day trial Enhance business intelligence with relevant B2B data Utilize high-quality databases with Info CheckPoint 080 - 40858235 support@infocheckpoint.com www.infocheckpoint.com