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.

Data Quality Management

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.

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Expert Articles

Here you find the best articles published by our experts, that support you in leveraging your information quality.

How to create a DataOps process for Data Quality and Data Testing

Automated DataWarehouse TestingHow to create a DataOps process for Data Quality and

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 [ ... ]

Supercharge Productivity and Profitability with Data–Driven Decision–Making

Data–Driven Decision–Making: Supercharge Productivity and Profitability The explosion of big data from a multitude of sources presents enterprises with the [ ... ]

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

Poor data quality causes many problems for organizations. Thus an entire field of Data Quality Management (DQM) is [ ... ]

What we can learn about data maintenance from daily dental care?

What do data and teeth have in common? Nothing? Teeth can bite, but data can’t. Teeth sometimes become [ ... ]

Poor data quality brings huge risks. But it’s avoidable!

Are your databases piling up with incorrect customer addresses, duplicates, and contradictory values? These are signs of poor [ ... ]

Artificial Intelligence: Is it a smart technology?

AI’s are computer programs that approach human intelligence. Their intelligence is based on large amounts of data and [ ... ]

Improve Data Quality using these 5 Steps

How can we resolve the problem? Easy: use these 5 steps to achieve lasting high data quality. Step [ ... ]

Nikola PerićData Quality Management