Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality IT Data Governance Sales 52

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. AI projects in financial services and health care.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

DataKitchen

MAY 10, 2021

Below we will illustrate the practices and technologies that enable data observability using the DataKitchen DataOps Platform which is specifically built to ease and accelerate the implementation of DataOps data observability. You and your data team can accomplish the same thing at your organization. Data Quality.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You know what? It was called Hadoop.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109