DATA QUALITY FOR EVERYONE - Part 3

Data Quality is not something that 'just happens.' Data Quality takes a great deal of work from a wide variety of different roles. Everyone who interacts with data should play a role in defining what does data quality mean to them. 

Data Engineering - Data Engineering is the first line of defense for ensuring high-quality data. The checks Data Engineering will build will enable a high degree of foundational data quality but can be the most susceptible to being technically correct but fail business needs. Data Engineering needs to make sure the process allows for both technical and business validation checks. Rollback of data entities needs to be built and understood in the recovery process. 

Analytics Engineering- Analytics Engineering is where the data meets the business. Analytics Engineers need to keep an eye on expectations between data engineering and the company. 

Analyst - As SMEs with a deep understanding of the business. Analysts are excellent at knowing when data is not suitable for a given subject. This knowledge needs to be distilled and transformed into quality tests.

Product/ Project Manager - Like Analysts, Product/ Project Managers have a broad understanding of the business and set the baseline standards for data quality. Product Managers will ensure that each feature includes the necessary Quality Tests to ensure that the end result aligns with the expectations of people within the business. The Product/ Project Manager is a critical role that is often overlooked and can cause many data quality issues. 

Business Leadership - Like Analysts, Business Leadership has a broad understanding of the business. Business Leadership is an excellent source for comprehensive data quality requirements that individual SMEs may miss.

DATA QUALITY BLOG SERIES

Each day the Data Quality Blog post will be released at 8:45 AM each day.

DATA QUALITY - Part 1 January 6th

DATA QUALITY CONCEPTS - Part 2 January 7th

DATA QUALITY FOR EVERYONE - Part 3 January 10th

DATA QUALITY FRAMEWORK - Part 4 January 11th

DATA QUALITY DEVELOPMENT - Part 5 January 12th

QUALITY DATA - Part 6 January 13th