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  Validate, verify, monitor and improve your enterprise wide data quality during the whole life cycle of information.
  
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  Data Quality Management
  
  Quality checking and management for corporate data.
  
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  Testautomation for data driven projects: Data Warehouse, BI, ERP, Interfaces ...
  
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DATA QUALITY MANAGEMENT
DATA TESTAUTOMATION

Data Quality Blog

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Data Vault – Perfect Consistency without Referential Integrity

Thomas Bolt

/

23. September 2020

Die Überwachung der referentiellen Integrität ist ein Sicherheitsnetz in Datenbank Management Systemen. Oft wird in Data Vault 2.0 Systemen diese Funktion zugunsten einer schnellen...

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BEITRAG ANZEIGEN

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Data Quality Tools

boltst

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18. September 2020

Data Quality ToolsUnderstanding Data QualityData quality ensures that the data available to the entire organization is clean and manageable. The core of data-driven decisions...

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Getting a competitive edge utilizing a high data quality

boltst

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14. September 2020

Getting a competitive edge utilizing a high data qualityWhat is Data Quality?For organizations, measuring data quality is no longer an option. Mainly because of...

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Supercharge Productivity and Profitability with Data–Driven Decision–Making

boltst

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7. September 2020

Data–Driven Decision–Making: Supercharge Productivity and Profitability The explosion of big data from a multitude of sources presents enterprises with the challenges of capturing, sorting, and integrating...

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Applying Data Governance to Agile Projects – is it really possible?

boltst

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24. August 2020

Applying Data Governance to Agile ProjectsIs that really possible?Data governance can be applied to agile projects. Although it is commonly believed that agile development...

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Actions to take for successful Data Governance Implementation

boltst

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22. July 2020

Actions to take for successful Data Governance ImplementationThis article will help small scale to large scale companies to develop effective data governance programs. The...

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BEITRAG ANZEIGEN

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Disastrous consequences due to poor data quality

boltst

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30. June 2020

Poor data quality causes many problems for organizations. Thus an entire field of Data Quality Management (DQM) is now an essential branch of Computer...

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Humans vs. Bot. What to use in data oriented Testing?

boltst

/

23. June 2020

Humans vs. Bot. What to use in data oriented Testing?Testing software and data is one of the most crucial steps in any lifecycle of...

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BiG EVAL 2.7.0 Highlights

Thomas Bolt

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22. April 2020

Version 2.7.0 of BiG EVAL focusses on efficiency. We built several features that boost the efficiency within data quality management processes and also in...

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

Thomas Bolt

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12. March 2020

What do data and teeth have in common? Nothing? Teeth can bite, but data can’t. Teeth sometimes become discolored. But… data? At first glance,...

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

Thomas Bolt

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4. March 2020

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!...

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Artificial Intelligence: Is it a smart technology?

Nikola Perić

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7. February 2019

AI’s are computer programs that approach human intelligence. Their intelligence is based on large amounts of data and their analysis (algorithms). They learn from...

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Improve Data Quality using these 5 Steps

Nikola Perić

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7. February 2019

How can we resolve the problem? Easy: use these 5 steps to achieve lasting high data quality. Step 1: Become Aware of the Problem Recognize how...

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BEITRAG ANZEIGEN

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How to test your Data Quality without Stress

Nikola Perić

/

7. February 2019

Did you know how easy it is to continuously and automatically test your data and maintain a high level of quality?More and more enterprises...

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Why is high data quality so important?

Thomas Bolt

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26. July 2018

The quality of your data has an impact on your business. But can this be expressed in figures? And is it worth optimizing it?

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Thomas BoltBlog02.07.2019

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