Improve your data-centricity
to remain competitive
Deploy your end-to-end data engineering platform to integrate, automate, orchestrate your data and to create more added-value with your business partners.
Standardise your data science practices. Automate the packaging and deployment of your data science models to secure the POC to PROD migration.
Combine your end-to-end data engineering platform with an MLOps platform to create a holistic data management system that includes data and models.
You save time and costs on your journey towards data centricity.
Companies have to become data-centric to remain competitive and please their customers. Building a data platform takes time and is not without risk. Many companies failed in this area, despite the effort of costly data architects and data engineers.
With Digazu, you have your end-to-end platform from day one with a lower total cost of ownership. This gives you more time and money to work on creating value.
You increase productivity and create business value faster.
Data projects are complex. To implement and maintain robust data pipelines, engineers and scientists have to master an increasing number of technologies. As a consequence, data projects take time, and business teams are often frustrated by the slowness of IT processes.
Digazu automates most of the data engineering work. It drastically reduces the time it takes to get value out of your data.
You minimise the time spent on technologies integration.
The tremendous growth in the big data sector has led to a multitude of technologies. It is difficult for data engineers to create an environment where so many technologies are properly integrated.
With Digazu’s platforms, this challenge is lifted and the integration of your data with data tools has never been that easy.
You see your data engineers acquire new skills.
To do their work, data engineers need to master a combination of programming languages, database skills, and data processing tools.
Digazu’s platforms lift off the pressure from your data engineer’s shoulders. They will be able to focus on the usage of these tools and to increase their productivity and effectiveness.
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.
Discover how Digazu’s platforms help the banking sector dealing with real-time banking transactions and streamlining data between data producers and data consumers.