Good Housekeeping: Using Data Validation Tools for Data CleanupWhether you are working
Data Quality Management
Use the best strategies and tools that make you a data quality expert.
Two things are needed to improve your information quality in a sustainable manner so your company profits most from trusted data. You need a strategy that suits your and your companies needs best, as well as an efficient toolsupport. Following you find articles and information about strategies and tools you can use and implement immediately.
Software-Solution
BiG EVAL Data Quality Management
The automation solution BiG EVAL DQM supports you in all tasks regarding data quality management. It makes you capable of automatically apply ongoing quality checks onto your enterprise data, it provides you a quality metric, and supports your quality problem solving processes.
Are your databases piling up with incorrect customer addresses, duplicates, and contradictory values? These are signs of poor data quality. Don’t ignore the signs! Studies show that incorrect data often leads to unpleasant consequences.
BIG EVAL can help by finding data errors, monitoring data systems, and keeping data quality high.
The easiest way to start your data quality project successfully.
Discover now test cases and data validation rules that can directly be applied to your enterprise data.
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Expert Articles
Here you find the best articles published by our experts, that support you in leveraging your information quality.
Data Catalog: What It Is and Why You Need One
Data Catalog: What It Is and Why You Need One According to a report by IDC, the global datasphere [ ... ]
How to build an operational data quality process
How to build an operational data quality processIn a recent article, we outlined 'How to create a DataOps process [ ... ]
Build or Buy a Data Validation Testing Solution? Make the Right Decision
Build or Buy a Data Validation Testing Solution? Make the Right DecisionThe perennial dilemma of "build vs. buy" [ ... ]
How to Create a DataOps Process for Data Testing with Data Quality Software
How to Create a DataOps Process for Data Testing with Data Quality SoftwareIn this article, we're going to [ ... ]
Data Validation: What, How, Why?
Data Validation: What, How, Why?Have you ever wanted a way to ensure the data you collect is accurate, [ ... ]
The Power of Data Preparation
Data Preparation can save millions by cleaning enterprise-level data sets. What is Data Preparation? Similar to any other [ ... ]
Data migration
The Processes Involved in Data MigrationWhat Is Data Migration?Data migration is the act of shifting data from one [ ... ]
Data science
Data scienceIt most certainly seems that the buzzword of the millennium is data, especially big data. Regardless of [ ... ]
Database Analytics
What is Database Analytics?Companies have access to lots of data; but unless they can analyze it to create [ ... ]
Data Governance
Data Governance: A Comprehensive Guide Enterprises need to plan for the data they create so that it is [ ... ]
Data Quality Tools
Data Quality ToolsUnderstanding Data QualityData quality ensures that the data available to the entire organization is clean and [ ... ]
Getting a competitive edge utilizing a high data quality
Getting a competitive edge utilizing a high data qualityWhat is data quality and why is it important?Benefits, tools [ ... ]
5 Steps To A Successful Data-Driven Decision-Making System
No comments 5 Steps To A Successful Data-Driven Decision-Making System No comments 5 Steps To A Successful Data-Driven [ ... ]
Applying Data Governance to Agile Projects – is it really possible?
Applying Data Governance to Agile ProjectsIs that really possible?Data governance can be applied to agile projects. Although it [ ... ]
Actions to take for successful Data Governance Implementation
Actions to take for successful Data Governance ImplementationThis article will help small scale to large scale companies to [ ... ]
Disastrous consequences due to poor data quality
Disastrous consequences due to poor data qualityPoor data quality causes many problems for organizations. Thus an entire field [ ... ]