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How CJIB is implementing a data driven approach: A customer’s perspective on discovering metadata
Tony van Buuren
Solution Architect (Informatica)
CJIB is an executive organization for the Dutch justice department. They have implemented a process to grow and become a more data driven company. They manage a lot of operational and process-oriented data where some of this data is extremely sensitive. To enable the organization to achieve the goal of becoming more data driven, they needed to create a common view on what kind of data they manage, who owns this data, what is the quality and where does it come from.
This will be a fireside chat (without the fire) on how this project started, which steps were taken in preparation, how the implementation went and most importantly what lessons were learned during this project that could benefit other organizations on the same journey.
Lykke Hendriks
Lead data analyst Data quality (CJIB)
CJIB is an executive organization for the Dutch justice department. They have implemented a process to grow and become a more data driven company. They manage a lot of operational and process-oriented data where some of this data is extremely sensitive. To enable the organization to achieve the goal of becoming more data driven, they needed to create a common view on what kind of data they manage, who owns this data, what is the quality and where does it come from.
This will be a fireside chat (without the fire) on how this project started, which steps were taken in preparation, how the implementation went and most importantly what lessons were learned during this project that could benefit other organizations on the same journey.
CJIB is an executive organization for the Dutch justice department. They have implemented a process to grow and become a more data driven company. They manage a lot of operational and process-oriented data where some of this data is extremely sensitive. To enable the organization to achieve the goal of becoming more data driven, they needed to create a common view on what kind of data they manage, who owns this data, what is the quality and where does it come from.
This will be a fireside chat (without the fire) on how this project started, which steps were taken in preparation, how the implementation went and most importantly what lessons were learned during this project that could benefit other organizations on the same journey.
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