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.
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.
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.
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.
