Resources

Our Resources include in-depth content, Knowledge Base articles, interactive assessments, videos, and podcast episodes. We're striving to be innovative in everything we do and that includes topics explored that focus on Data Practices, Data Governance, and Data Mesh.

Deep-Dive Resources | Interactive Assessments | Industry Reports | Innovative Frameworks | Video Demos | Architecture Cases | Witboost Documentation

The Total Economic Impact™ of Witboost

A Case Study by Forrester Research

Discover how a company with a presence across Europe and generating $15 billion in annual revenue leveraged Witboost to its advantage.

Uncover the significant role Witboost has played in revolutionizing corporate transformation projects across the board. For a full three years, Forrester Research has rigorously analyzed how Witboost has reshaped the data management framework of data-centric businesses, offering a definitive view of its impact.

Discover your own ROI potential using the calculator based on the Total Economic Impact methodology.

 

 

Deep-Dive Resources

Deep dive white papers and reports that elevate your data game.
Check them out!

Personalized Assessments

Test your organization's Data Governance maturity level and your Data Mesh readiness with our engaging assessments. You'll receive your results as well as a report detailing your score and additional information on your organization's respective level.

Data Mesh Readiness Assessment

Is your organization ready to adopt data mesh? Find out in the readiness assessment focused on the 5 critical areas within an organization.

Thought-Provoking Podcasts

Deep discussions on relevant topics ranging from Data Governance to Data Mesh and more.

Governance Shift Left

CDM Media - Solutions Spotlight

 

Implementing Data Mesh Initiatives

EM360 Podcast

 

Industry Reports

Deep-dives into the data industry and vertical-focused reports 
 
Read our analyses below!

Explore our Innovative Frameworks

Signature articles that always drive new avenues and/or refine data principles, practices, use cases, guides, and models.
 
Check out our trailblazing articles below!

Architecture Cases

A quick view of how you can implement ready-made golden paths into your ecosystem 

Architecture cases marked with "*" are within a data product context

Data Contracts*

Architecture Case_Data Contracts

Create an ecosystem built on trust, ownership, and transparent communication between all your data and business users.

Just follow these 5 easy steps in Witboost:

  1. Create your own standard definition of a data contract by making it a template for future use
  2. Select an open specification or build your own 
  3. Enable users to smoothly create data contracts with your newly created template
  4. Enforce your data contracts at deploy time with computational policies
  5. Enforce your data contracts at runtime  by creating contract guardians

FinOps*

Architecture Case_FinOps

Raise awareness about costs and create a culture of shared resources to optimize costs.

Just follow these 4 easy steps in Witboost:

  1. Embed standard resource tagging, aligning it with your data products and domains
  2. Collect the usage of your FinOps technologies associated with the data products with tech adapters
  3. Attribute shared resource costs shared to each data product within each tech adapter
  4. Bring these costs into the Data Marketplace for all users to observe

Synthetic Data*

Architecture Case_Synthetic Data

Introduce synthetic data in your ecosystem leveraging Witboost's powerful templates, tech adapters, and computational policies.

Just follow the 4 easy steps below:

  1. Make your preferred synthetic data creating tool a template for future use
  2. Implement a tech adapter that will automatically create your synthetic data at deploy time
  3. Make the template usage mandatory in every data product with a computational policy
  4. Show the fake data in the Data Marketplace so your users have sample data for rapid prototyping and easier discovery

Observability*

Architecture Case_Observability in Data Products

Bring observability capabilities to all your data products.

Just follow the 5 easy steps below:

  1. Define a pattern to calculate and expose observability metrics
  2. Make it a template for quick access by your colleagues
  3. Use a tech adapter that will create an observability API inside each data product at deploy time
  4. Mandate the use of the template in all data products for standardization
  5. Show the observability information in the data marketplace 

Data Catalog

Architecture Case_Data Catalog Integration

Enable a bi-directional link to your data catalog that enables metadata curation with the possibility to discover more technical information directly from the data marketplace

Just follow the 4 easy steps below:

  1. Use a tech adapter to create a bi-directional integration with your data catalog
  2. Retrieve the business glossary from your data catalog to facilitate metadata curation
  3. Ensure all the relevant data is published in the data catalog with computational policies
  4. Create an automatic link to the data catalog directly inside the data marketplace 

Automated Governance

Architecture Case_Automated Governance

Bring automated governance into your ecosystem slowly with gamification metrics, followed by computational policies. Finally, achieve the ultimate level of trust with enforced data contracts where each user will be certain of what they are creating and getting.

Just follow the 4 easy steps below:

  1. Define blueprints for your organization that fast tracks data product creation and forms the basis to provide proper governance
  2. Gamify the governance process by using metrics for your users, slowly introducing the concept
  3. Enforce patterns and definitions of done by gently introducing computational governance policies that cannot be bypassed
  4. Achieve full maturity by enforcing data contracts at runtime.
Architecture Case_Data Contracts

Create an ecosystem built on trust, ownership, and transparent communication between all your data and business users.

Just follow these 5 easy steps in Witboost:

  1. Create your own standard definition of a data contract by making it a template for future use
  2. Select an open specification or build your own 
  3. Enable users to smoothly create data contracts with your newly created template
  4. Enforce your data contracts at deploy time with computational policies
  5. Enforce your data contracts at runtime  by creating contract guardians
Architecture Case_FinOps

Raise awareness about costs and create a culture of shared resources to optimize costs.

Just follow these 4 easy steps in Witboost:

  1. Embed standard resource tagging, aligning it with your data products and domains
  2. Collect the usage of your FinOps technologies associated with the data products with tech adapters
  3. Attribute shared resource costs shared to each data product within each tech adapter
  4. Bring these costs into the Data Marketplace for all users to observe
Architecture Case_Synthetic Data

Introduce synthetic data in your ecosystem leveraging Witboost's powerful templates, tech adapters, and computational policies.

Just follow the 4 easy steps below:

  1. Make your preferred synthetic data creating tool a template for future use
  2. Implement a tech adapter that will automatically create your synthetic data at deploy time
  3. Make the template usage mandatory in every data product with a computational policy
  4. Show the fake data in the Data Marketplace so your users have sample data for rapid prototyping and easier discovery
Architecture Case_Observability in Data Products

Bring observability capabilities to all your data products.

Just follow the 5 easy steps below:

  1. Define a pattern to calculate and expose observability metrics
  2. Make it a template for quick access by your colleagues
  3. Use a tech adapter that will create an observability API inside each data product at deploy time
  4. Mandate the use of the template in all data products for standardization
  5. Show the observability information in the data marketplace 
Architecture Case_Data Catalog Integration

Enable a bi-directional link to your data catalog that enables metadata curation with the possibility to discover more technical information directly from the data marketplace

Just follow the 4 easy steps below:

  1. Use a tech adapter to create a bi-directional integration with your data catalog
  2. Retrieve the business glossary from your data catalog to facilitate metadata curation
  3. Ensure all the relevant data is published in the data catalog with computational policies
  4. Create an automatic link to the data catalog directly inside the data marketplace 
Architecture Case_Automated Governance

Bring automated governance into your ecosystem slowly with gamification metrics, followed by computational policies. Finally, achieve the ultimate level of trust with enforced data contracts where each user will be certain of what they are creating and getting.

Just follow the 4 easy steps below:

  1. Define blueprints for your organization that fast tracks data product creation and forms the basis to provide proper governance
  2. Gamify the governance process by using metrics for your users, slowly introducing the concept
  3. Enforce patterns and definitions of done by gently introducing computational governance policies that cannot be bypassed
  4. Achieve full maturity by enforcing data contracts at runtime.

Prefer a short Video Demo?

Check out our interactive all-in-one explainer demos below based on your data user type and area of interest