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19 Feb 2024

The Final Step to Data Mesh is Data Quality

Data Mesh
Data mesh is an approach to organizational data management that helps data-driven companies become more agile and prudent in managing, analyzing, and distributing data. The following principles are fundamental in a data mesh. 1. Domain Ownership 2. Data as a...

The Fourth Step to Data Mesh is Federated Governance

Data Mesh
Data mesh is a strategic approach to decentralized data management that provides standardized self-serve data products through a governance model. This enables data-driven organizations to achieve agile, comprehensive and secure data management. Four main principles...

The Third Step to Data Mesh is the Self-Serve Platform

Data Mesh
Data mesh is an approach to data management that helps organizations become more agile and prudent with managing, analyzing, and distributing data. Four main principles are fundamental in a data mesh. The first principle is domain ownership, and the second is data as...

The Second Step to Data Mesh is Data as a Product

Data Mesh
Data mesh is a new approach to organizational data management that helps data-driven organizations become more agile and prudent with managing, analyzing, and distributing data. Four main principles are fundamental in a data mesh system. The first principle is domain...

The First Step to Data Mesh is Domain Ownership

Data Mesh
In our previous post, we discussed the opportunity of developing a data mesh architecture and how it can benefit data-driven enterprise organizations. In the next four posts of our data mesh series, we will cover the fundamental principles that make up the...

Unleashing Value with a Decentralized Data Mesh

Data Mesh
Organizationally sourced data is increasingly complex and filled with valuable business intelligence. As organizations become increasingly data-driven, they will need to become more agile and prudent with managing, analyzing, and distributing data. Implementing a data...

How to Select the Best Technology for Data Quality Management

Data Quality
Outdated data quality software can put you at a competitive disadvantage and drive up organizational costs. Modern technology is proactive, avoids more costs, and mitigates more risk. In the following post, we will outline what to look for when selecting data quality...

How to Develop a Strategy for Data Quality Management

Data Quality
Does your organization have a data quality control strategy in place? If you want to improve data quality and reduce operational costs across your organization, having a strategy in place to manage quality and set organizational standards is critical. In order to...

4 Steps to Take Now to Determine the Quality of Your Data

Data Quality
With a lack of executive confidence and high cost of poor data, it lends the question of how bad is your data quality and even more importantly how can it be quantified? The estimated annual cost of data quality problems for US businesses is $611 Billion. Less than 33...

How to Determine the Cost of Bad Data and Gain Organizational Trust

Data Quality
Executives tend to distrust organizational data. Determining the cost of bad data to your organization is the first step in gaining executive trust. Why Executives Distrust their Data A broad set of indicators determine the value of your enterprise data. With the...
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