What is Data Quality? Data that is Clean, Complete, Comprehensive, Chosen, Credible, and Calculable.

Why is data quality important? High-quality data is the foundation of all digital businesses. With Generative AI being integrated into many businesses and teams, Data Quality is even more essential. From service to sales to analytics, in industries from healthcare to consumer goods, data is the bedrock on which business is built. If you don’t trust your data, you probably don’t have strong data quality. If you want to introduce AI into your company, you have to have strong data quality. Data quality should be a top priority in digital marketing. Sadly, it tends to fall to the side in favor of other tasks. Bad data quality is hard to recover from.

How do you check your data quality? Download our Data Quality Framework.

6Cs of data quality



Copyright and Permissions

Our ideas are available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license. This means you are free to use these ideas for non-commercial purposes (such as journalistic endeavors, open-source academic research, etc.) where no transaction or financial benefit is involved; you must attribute your usage appropriately. Under the terms of the license, you may not make derivative works without permission.


Creative Commons License
This work by Trust Insights, Inc. is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Based on a work at https://www.trustinsights.ai/.
Permissions beyond the scope of this license may be available at https://www.trustinsights.ai/.

Pin It on Pinterest

Share This