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Make complex data engineering easier!
Improve your data-centricity
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.
DIGAZU MEETS
YOUR CHALLENGES
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.
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DIGAZU
IS TRUSTED
“I can go a hundred times faster. It standardizes the process of creating data science, and it will solve a big problem most of my former colleagues are pinpointing: the possibility of clean handovers between data scientists. I love Digazu because it saves us, data scientists, a lot of lower value work and it allows us to focus on value creation.”
“Digazu helped us reach our ambitious goals on time and within budget. In about 2 months, the platform and the algorithm were integrated into our environment with almost no impact on our IT team. This is a solid foundation to implement our next data-driven initiatives in a standardized and very efficient way.”
“Thanks to Digazu, we are now able to provide personalized information to our customers, using their preferred channels. This improved our relationship with our customers and ultimately increased their satisfaction and usage of our products.”
"In our journey towards a smarter business, we have a lot of pressure to quickly implement data science use cases (anomaly prediction, predictive maintenance, revenue forecasting...). With Digazu we have delivered the first three in just a couple of months."
"Digazu is a fast track to a data-centric architecture: it implements best practices with good technological choices. Since it can be deployed in a matter of hours, it's quick and easy to confirm that Digazu is delivering on its promises."
"By using Digazu's graphical interface, I enrich, in a few clicks, the events generated in real-time on my website with the stored data of my customers. Live reporting is becoming a reality."
"As an architect, I always search for the most pragmatic solution to support our business transformation. After having tried one of the most renown Data Vault solution to put my BI architecture on steroids, I rapidly saw its limits in terms of flexibility, scalability and cost! I met Digazu's team during a Stream and Real-time analytics conference and I have been convinced: Digazu fitted my own architecture vision and in terms of functional coverage, we achieved in one month what we obtained in one year."
"In our organization, we have about 20+ A&AI use cases to implement and to release in production within our hybrid and complex cloud infrastructure. We were looking for an end-to-end solution to; ease our day-to-day job and to reduce the cost over time. Digazu's platform was deployed in a few days and our first real-time dashboard, mixing 10 different data sources, in one week. Thanks to Digazu's expertise we can focus more on the business value than the underlying infrastructure or architecture parts. Thank you guys !"
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