Discover, Elevate and Productize your data

Witboost is a modular platform, that can solve many real-world Elite Data Engineering problems, by empowering enterprises to discover, elevate and productize their data, and build automated data platforms driven by data governance best practices.

It provides a real and high fidelity view of the entire lifecycle of your Data Components. Starting from the creation and ending with the consumption, it removes overheads, IT expenditures, reduces time-to-market, and helps companies become data-driven.

Witboost comprises of a series of modules. These are building blocks that can work as standalone modular solutions to address and solve a single need or problem. They can also be combined to create the perfect all-encompassing platform for your company.

Discover the Witboost Modules

Circle illustration of Witboost's Data Product Builder module.

Speed up data centric application development and lower Data Component creation barriers with the use of templates

Circle illustration of Witboost's Computational Governance Platform module.

Automate and enforce Data Governance along the entire process, increase overall quality standards and reduce risks

Circle illustration of Witboost's Data Product Provisioning module.
Automate end-to-end provisioning and deployment of data initiatives with pre-production policy compliance
Circle illustration of Witboost's Data Product Marketplace module.
Make data products discoverable and observable while enhancing transparency and trust around them
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Witboost Success Cases

Logistics

LOGISTICS

Find out how Poste Italiane leads its journey to Data mesh by leveraging Witboost.

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MANUFACTURING

Watch how Scania has evolved  toward implementing a Data Mesh

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ENERGY

Learn how Enel Group successfully built a Data Mesh architecture

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SMART CITY

Find out how our client leveraged Witboost within their Smart Data Platform

Witboost Documentation

Get started with Witboost in our step-by-step documentation of the platform, which covers the prerequisites, how you can create, deploy, and consume your first data component, how you can manage your computational policies and much more.

DIVE INTO THE DETAILS

 

Try Out Witboost

Try out Witboost by cloning templates, creating policies and building data components. Here’s an example based on Covid-19 datasets:

An example of Witboost's capabilities through a playground trial, where users can test and mold their data products into valuable business assets.

 

Covid datasets are your operational system, and now you need to start to craft domains and Data Components in the analytical space. In this context we have three domains:

  1. Demographic
  2. Healthcare
  3. Economic Impact

The overall documentation is guiding you to create your first Data Components about vaccinations, but then you can continue to create other Data Components also in other domains and connect them to each other.

The technological stack is already integrated in the playground so there is no much work for the Platform Team, even if they can create new governance policies. Instead, the Data Component team can start to clone templates and follow this walkthrough.

This sandbox starts with all permissions needed in order to implement all the required features and process and share data as a product.

Our goal is to set up a workflow that automatically reads Vaccination CSV data from Google's Covid Dataset, stores it in a database, and creates an output port for users and other data components to read from. In order to achieve that, we will use:

  • Airbyte to transfer the data from the source to a database in Snowflake
  • Snowflake for the storage and output port functionalities
  • An MWAA script for the orchestration part

The following illustration summarizes the proposed solution for a Data Component architecture:

An example of Witboost's capabilities through a playground trial, where users can test and mold their data products into valuable business assets.

 

 

Want to see more of what Witboost can do?

 

Make it your Playground!

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