Metadata Management and
A comprehensive, intelligent approach for
ensuring ongoing data quality
Setting the standard for data quality
To improve customer relationships, predict better outcomes, and maintain compliance with a growing collection of legislation, companies are becoming increasingly focused on data quality.
When measuring “quality,” however, one must evaluate the adherence to, or deviation from, some defined standard. What is the defined standard when measuring the quality of the data? The answer is simple, straightforward, and often overlooked: metadata.
Metadata: The overlooked key to data quality
Metadata, in short, is data about data. For many, metadata is simply the description of an element’s data class (e.g. string, integer, etc.), its precision, and/or its narrative definition. But properly collected metadata should offer a much more comprehensive portrait of each structure, element, and value domain.
The Lightwell metadata model clearly and fully communicates data’s origins, logical and physical content, domain value decodes, population patterns, and, very importantly, applicability conditions. By comprehensively documenting what the data should contain, Lightwell metadata is employed to evaluate the quality of what it contains.
Most metadata efforts limit their review to describing what is in each table or field (e.g. data types, field/table names, field/table definitions, etc.). When it comes to content, however, properly collected metadata should not only focus on what but also when.
The Lightwell metadata approach ascertains when the content of each element or structure is applicable. This plays a critical role in optimizing data quality.
Automated data quality with live metadata
Drawing from the rich insights captured within its live metadata repository, Lightwell automates the construction of a comprehensive data validation architecture.
All of the defined content and applicability standards are combined into comprehensive validation trees, against which your company’s data can be evaluated.
The results of these evaluations (and the corresponding corrective actions) are written to a central, query-friendly log to simplify the monitoring of data quality.
Let us help you optimize your data quality with the Lightwell metadata approach
For over two decades, our team has helped companies establish the foundation and capabilities necessary to support nimble, highly-effective enterprise analytics, and ensure high-quality data on which to base critical business decisions.
Through comprehensive data analytics consulting services and innovative, customized solutions, we help to improve how data is understood, simplify how it is navigated, and optimize how it is delivered.
We work closely with our clients to help them get the most from their data. Let’s explore how we can help you do the same.
Let’s Get Started
Are you ready to truly know your data? Get in touch with us and let’s review how the Lightwell metadata repository and data quality architecture can improve your analytics.
Contact us today and we’ll connect you with one of our experts.