Skip to content
  • Home
  • Data Quality 3.0
    • Product Data Lake
      • Product Data Lake Documentation and Data Governance
      • Business Benefits
      • Become a Product Data Lake Commissioner
    • Big Data Quality
  • Master Data Share
    • Data Matching
      • Human interaction
      • Match Destinations
      • Match Techniques
      • Types of Party Master Data
    • MDM 101
  • About Henrik Gabs Liliendahl
    • My Been Done List
    • The Emperor’s new clothes
  • What I Do
    • Popular Offerings
      • Resources
    • MDM / PIM / DQM Tool Selection Consultancy

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.

Like this:

Like Loading...
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.

Like this:

Like Loading...
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.

Like this:

Like Loading...
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

The Disruptive MDM / PIM / DQM List

Register your innovative solution on the disruptive list of MDM/PIM/DQM/DAM solutions here

Select your MDM / PIM / DQM solution

Get a free solution ranking based on your context, scope and requirements here

Follow the blog on social media

  • LinkedIn
  • Twitter

Enter your email address to follow this blog and receive notifications of new posts by email.

Join 12,069 other followers

Let product data flow easily between trading partners

Categories

  • Big Reference Data (158)
  • Business Process Management (36)
  • Data Architecture (246)
  • Data Governance (151)
  • Data Matching (217)
    • Business Directories (24)
    • Identity Resolution (60)
    • Survivorship (10)
  • Data Profiling (16)
  • Data Quality Tools (168)
  • Data Quality World Tour (19)
  • Direct Marketing (19)
  • Information Quality (145)
  • Master Data (561)
    • Hierarchy Management (38)
    • Multi-Domain MDM (111)
    • Multienterprise MDM (22)
    • National ID (22)
    • Social MDM (60)
  • Metadata (22)
  • Product Data Syndication (44)
  • Product Information Management (17)
  • Search and navigation (15)
  • Service Oriented Architecture (12)
  • Social Media (78)
  • Sport (16)
  • Supposed to be a joke (66)
  • X-mas (20)

Data Governance Training

Getting Started in Data Governance online training from Nicola Askham is available here.

Recent Posts

  • Analyst MDM / PIM / DQM Solution Reports Update March 2021
  • Five Ways You as a Manufacturer Can Exploit Product Data Syndication
  • Constellation Research MDM Shortlist Q1 2021
  • Interenterprise MDM Will be Hot
  • From Data Quality to Business Outcome
  • 2021 Data Management Mind Map
  • Welcome Winpure on The Disruptive MDM / PIM / DQM List
  • The Role of Product Data Syndication in Interenterprise MDM
  • Movements in the Gartner MDM MQ 2021
  • Watch Out for Interenterprise MDM

eLearningCurve

Have a look at the eLearningCurve course on data parsing, data matching and de-duplication here.

Recent Comments

Henrik Gabs Lilienda… on Constellation Research MDM Sho…
Alfred on Constellation Research MDM Sho…
Henrik Gabs Lilienda… on The Quasimodo Quadrant
Gary Allemann on The Quasimodo Quadrant
Henrik Gabs Lilienda… on What to Expect from the 2021 G…
Gary Allemann on What to Expect from the 2021 G…
Henrik Gabs Lilienda… on What to Expect from the 2021 G…
benrund on What to Expect from the 2021 G…
Henrik Gabs Lilienda… on Annus Horribilis 2020, Annus M…
Henrik Gabs Lilienda… on Annus Horribilis 2020, Annus M…
Gordon Hamilton on Annus Horribilis 2020, Annus M…
Alberto Saavedra on Annus Horribilis 2020, Annus M…
Rodney B Cole on The Start of the History of Da…
Gokula Mishra on The Start of the History of Da…
Jeppe Thing Sørensen on The Start of the History of Da…

Doing IT The Toyota Way

Addresses AI B2B B2C Big data Business ecosystems Business intelligence Business processes Business rules CDI CDP Cleansing Compliance Copenhagen CRM Cuisine D&B DAM Data Governance Data model DataQualityPro Digitalization Diversity DQM Duplicates ecommerce Evolution Facebook Fit for purpose Fraud Fuzzy logic Gartner GDPR Geocode Graph Hans Christian Andersen Happy databases History Household Instant Data Quality IoT Laissez faire LEI LinkedIn London Mashup MDM MDMDG Metadata Migration Multi-Channel National identification number OCDQ Online Offline Open data People PIM Prevention Privacy RDM Real world alignment ROI Shakespeare Single version of the truth SOA components Standardisation Standardization SuperMatch Syndication Technology The cloud The world Twitter User involvement Who what where when

Blog stats

  • 448,932 visits

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 12,069 other followers

Blog at WordPress.com.
Cancel

 
Loading Comments...
Comment
    ×
    Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
    To find out more, including how to control cookies, see here: Our Cookie Policy
    %d bloggers like this: