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Liliendahl on Data Quality

A blog about Master Data Management, Product Information Management, Data Quality Management and more

Data subsetting

2021 Data Management Mind Map

12th February 2021Henrik Gabs LiliendahlLeave a comment

Disciplines come and go in the data management world. Here is a mind map of the disciplines on top of my mind today. Some of the disciplines goes back to the emerge of IT in the previous millennium and some have risen during the latest years.

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Data Architecture, Data Governance, Data Matching, Information Quality, Metadata, Multi-Domain MDM, Multienterprise MDM, Product Data Syndication, Product Information ManagementData masking, Data model, Data subsetting, DQM, MDM, Metadata, PIM, TDM

The Role of Data Discovery in Data Management

19th July 2019Henrik Gabs Liliendahl4 Comments

Data discovery is a term probably most mentioned in relation to business intelligence and data science. I this context data discovery can be seen as a more experimental and preliminary activity that can lead to a more continuous and integrated form of reporting and predictive analysis when hidden data sources, relationships and patterns are identified.

However, data discovery is useful in other data management disciplines as well.

Data Discovery

With the increasing awareness of data security, data protection and data privacy – and the regularity compliance enforced in this space – it is crucial for organisations to know what kind of data that flows and are stored within the organization. While you may argue that this should be available in already existing documentation, I have yet to meet an organization, where this is the case. And I come around a lot.

Data discovery is also a component of test data management and tool vendors package their offerings in this space with capabilities for data masking, data subsetting and data discovery in order to answer questions as:

  • Where are the data elements that should be masked when using production data in test scenarios without violating data privacy regulations?
  • How can you subset (minimize) test data sets derived from production (covering several databases) and still have proper relationships covered?

Within Data Quality Management, Data Governance and Master Data Management (MDM) data discovery also plays a role similar to the role in data reporting. We can use data discovery to map data lineage, find potential data relationships where data matching, data cleansing  and/or data stewardship might help with ensuring data quality and business process improvement and explore where the same data have different labels (metadata) attached or the same labels are used for different data types.

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Data Governance, Data Matching, Master Data, MetadataBusiness intelligence, Data masking, Data subsetting, MDM, Privacy

A Data Management Mind Map

6th April 201918th April 2019Henrik Gabs LiliendahlLeave a comment

This blog is about Data Quality 3.0, Product Data Syndication Freedom, Multienterprise MDM – and many more data management topics.

These topics and the many more data management topics I have been around looks like the mind map below:

Data Management

If I can be of any help to you in the data management realm, here are some Popular Offerings.

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Data Architecture, Data Matching, Data Quality Tools, Information Quality, Master Data, Product Data SyndicationData Governance, Data masking, Data model, Data subsetting, MDM, Metadata, PIM, Privacy

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