Discover the challenges and consequences of the companies that are underestimating the complexity of a modern data platform.
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.
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
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.
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.
Discover how to secure your data lake projects to help your company leverage its produced data to create revenues and reduce its costs.
To help you drive a successful data lake project you have to discover what are the challenges in a data lake project, and how you can minimise the failure risk.
A data lake will help you leverage all your produced data to create revenues and reduce your costs. So you have to ask yourself why would my company need a data lake and what are my benefits from setting up a data lake?
Companies need solutions that help real-time data management platforms designed in such a way that extracting data sets is quick, easy and reduces the work of IT teams.
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.
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.
By using real-time data analysis and historical data analysis (submitted to anomalies and patterns detection), data scientists are able to detect and prevent potentially fraudulent activity before it occurs.
Generate, trough data, additional revenues by automating recommendations with intermediaries, making targeted interactions with customers possible.
Match your business with the everlasting changes in customers’ preferences and expectations.
Discover how to add value to your retail business and to personalize each customer engagement trough by integrating a multichannel data approach across your real-time reporting and your data science models.
Digazu’s platforms will help the companies leveraging the value of their data, by extracting data only once, sharing the transformations on data, and loading transformed data multiple times.
Today’s business are trying to become more data centric or to develop their data culture. To do so they have to start leveraging insights from their data. Therefore, ETLs (extract, transform, and load) are essential in data integration strategies.
Data challenges across companies and departments; time-to-market, cost and feasibility of your data science projects all depend on your processes and tools.
Digazu’s platforms were made to create added value for companies from their data and make complex data engineering easier and Faster.
Discover, through this demo, a fast and easy way to create real-time product recommendations with our Digazu’send-to-end data engineering platform.
By using Digazu you will significantly reduce the time to implement all the necessary steps to detect potentially fraudulent behaviour.
Transform your data into actionable insights with Digazu’s platforms. With Digazu you can combine data from many sources.
Digazu simplifies the process of connecting your streams and models, and we deliver blazing fast access to your data flow.
With Digazu, you can apply machine learning to customer behavioural and demographic data to generate accurate and real-time segmentation.
Digazu is the ideal missing piece to connect all your streams in a unified pipeline to then distribute to your favourite analytics platform.
Digazu’s platforms help you unify your data, in a fast, predictable and reliable way.
Digazu helps you unify your data in a fast, predictable, and reliable way. You can use organized data in your data lake in just a few days.
Digazu can facilitate the data engineering needed to build a one-stop-shop for data as it abstracts the technology of the source systems.
With Digazu, you have one central place to manage your data flows, making it simple and easy to know which data is used by whom and to what end.
Digazu can process any size or number of pipelines; that’s its core strength.
