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  • Solution

      End-to-end data engineering

      Source & Store

      Transform & Preview

      Distribute

      Govern

      Differentiators

      Simplicity

      Best practices in a box

      Industrialisation

      Case studies

  • Ecosystem
    • Integration landscape
    • Partnership programme
  • About
    • About us
    • Core values
    • Team
    • Jobs
  • Learn
  • Contact us
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Digazu for the automotive industry

Read about the 2022 latest trends and use cases shaping the new automotive industry.

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data engineering

A full-scale industrial roll-out at a large automobile manufacturer

As a leader within a very competitive industry, our customer saw very early the potential of using data to improve production efficiency and create the best possible customer experience. One important step in that journey was the decision to create a pan-European Data Analytics landscape.

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What happens if (3/4): You take IT initiatives without onboarding the business department

Read about the impact of IT and business misalignment on the organisation’s overall success. We share our tips on how to bridge the Tech and business gap.

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data engineering data science Digazu

What happens if (2/4): You take business initiatives without onboarding the IT department

Learn more about the common mistakes of digital transformation programs: taking business initiatives without onboarding the IT department.

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data engineering data science Digazu

What happens if (1/4): You underestimate the complexity of the underlying technology of a modern data platform

FAQ Digazu

Discover the challenges and consequences of the companies that are underestimating the complexity of a modern data platform.

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data engineering

Low-code platforms vital for the company’s success

Digazu’s Low-code platforms will help you address all your data and data processes challenges in a sustainable and future-proof way. Easy-to-use and highly intuitive, Digazu combines the power of automated data engineering, a data lake and a smart data-science platform.

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data engineering data science

Data-driven organization and data silos

Discover how data-driven business and data silos cascades all the way down from the different data choices, uses and strategies that companies are using

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What are the challenges of data silos and how can I manage them?

data silos

A feature-rich data science platform can help you navigate through data silos and bring holistic data management into your organization and leverage the highest possible value out of it.

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data engineering data science

Become a data-driven business and avoid data silos

Digazu datadriven

Surviving as a mainstream business today means being data-driven. Yet, becoming a data-driven organization does not happen overnight, it takes a lot more than a few resolutions and a well-articulated data strategy.

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data engineering

How to secure your data lake projects

secure your data lake

Discover how to secure your data lake projects to help your company leverage its produced data to create revenues and reduce its costs.

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data engineering data science
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