strategy
An exclusive interview of our CEO for BFM Business
Marc Delbaere, CEO of Digazu in an exclusive interview for BFM Business introduces Digazu.
by
Marc Delbaere,
strategy
Five reasons why you should consider a data mesh for your business
If you have been attentive to what is happening in the data sphere, then you must have come across a concept that has been around for some time now. However, many fail to understand its real value from a business perspective.
by
Selima Triki,
strategy
Five important trends of the 2023 data and analytics landscape
Our CEO shares his thoughts on the 2023 most defining trends of the data and analytics market.
by
Marc Delbaere,
white paper
The practical guide to data mesh
This practical guide will unpack the why, what and how of the data mesh approach and how using it can solve many of the challenges of implementing a successful self-service data program.
by
Digazu team,
adventures in data
Data products: a business analyst exploring data in self-service
In the previous piece, we uncovered the different characteristics of a well-designed data product. In this second blog, we will illustrate a real case scenario that tells the story of a data analyst, “Fred”, trying to navigate the complexities of his data landscape using our data product platform.
by
Selima Triki,
education
The 8 characteristics of a successful data product
The data mesh architecture is built around four fundamental concepts, the second of which is "data-as-a-product" often just called data products.
by
Selima Triki,
white paper
Digazu for the automotive industry
Read about the 2022 latest trends and use cases shaping the new automotive industry.
by
Digazu team,
education
The real-time data revolution
IT-powered innovations, the Internet of Things and new generation customer demands are fueling real-time data creation. In this new data landscape, businesses from all industries are quickly shifting from batch processing to real-time data streams to match the new imperatives. In this blog, our marketing analyst, Selima Triki, unpacks the concept of real time and real-time data, some of its benefits and applications.
by
Selima Triki,
education
No-code/low-code and virtualisation in data engineering
In this blog, we uncover the multiple facets of data engineering, what it is and how complex it can be. Digazu's product manager, Luc Berrewaerts walks us through the new technologies to navigate the complexities of data engineering.
by
Luc Berrewaerts,
strategy
Six important trends of the 2022 data and analytics landscape
Our CEO shares his thoughts on the 2022 most defining trends of the data and analytics market.
by
Marc Delbaere,
practitionners
Migrating a thousand data pipelines thanks to code as configuration
A leading investment bank approached us recently to review their data management to support new analytics use cases. Learn about how we helped them enhance their data processes through automation and scalability.
by
Luc Berrewaerts,
Romain Dupuis,
Matthew Phillipe,
white paper
The 4 Most Common Mistakes of Digital Transformation Programs
Read our latest White Paper on the most common mistakes of digital transformation programs, the dos and don'ts of the data journey. Come take a closer look at some of the most challenging pitfalls businesses regardless of their space face in their pursuit of digital and capture the best practices and lessons learned to to drive successful data projects.
by
Selima Triki,
education
The evolution of data architectures
Learn the various ways in which you can store your data and choose the one that best suits your needs. This article will underline the difference between data warehouse, data lake and data mesh while exposing the benefits and drawbacks that you could encounter. Find the best solution no matter how mature your data is.
by
Selima Triki,
education
Data collection, a first step in maximising the value of your data
Pushing the limits of your data doesn’t have to be a difficult task. Still, if left alone, data has little to no value. Read this article and bring your data to life by taking proactive actions towards understanding how to overcome the challenges that data collection can pose. Sometimes simple solutions can solve complex problems.
by
Selima Triki,
product
The new data engineering
Discover how you can take your data engineering to a whole new dimension with Digazu. Specifically designed to simplify the work of your data engineers, Digazu was built to work at scale and to integrate with your IT landscape for sustainable and scalable data engineering.
by
Selima Triki,
education
What happens if you implement a business case roadmap without a platform strategy
Implementing your business cases comes with a price tag of high expectations and inevitable costs. Read this article and discover how you can drastically control the cost of implementation of your use cases and reduce your projects’ time to market.
by
Selima Triki,
product
A glimpse into a great data platform
Discover the building blocks of a modern and scalable data platform. Get insights on how to power your data projects and unlock the value of your data assets.
by
Selima Triki,
education
What happens if 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.
by
Digazu team,
education
What happens if 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.
by
Digazu team,
education
What happens if you underestimate the complexity of the underlying technology of a modern data platform
Discover the challenges and consequences of the companies that are underestimating the complexity of a modern data platform.
by
Digazu team,
white paper
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
by
Digazu team,
education
What are the challenges of data silos and how can I manage them?
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.
by
Timothe Simoens,
usecases
The 360° customer view
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.
by
Digazu team,
white paper
The fast track to GDPR compliance
Download the white paper to discover how to successfully introduce organizational GDPR changes and its requirements to install an effective data governance tool to help you embed privacy into your everyday work.
by
Digazu team,
usecases
Personalising the shopping experience
Companies need solutions that aggregate many sources of on- and off-line information, extract data sets quickly, and ease the deployment of models to compute real-time compelling recommendations.
by
Digazu team,
usecases
Real-time recommendation challenges for intermediaries
Generate, trough data, additional revenues by automating recommendations with intermediaries, making targeted interactions with customers possible.
by
Digazu team,
usecases
Improve your marketing processes and customer satisfaction
Match your business with the everlasting changes in customers’ preferences and expectations.
by
Digazu team,
usecases
Fraud detection
By using Digazu you will significantly reduce the time to implement all the necessary steps to detect potentially fraudulent behaviour.
by
Digazu team,