“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.”

“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.”

“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.”

“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 !”

“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.”

“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.”