Data Lake / BI Platform
Nowadays, organisations can assemble a framework for addressing certain needs from hundreds of apps and services. However, sometimes, some of these solutions cannot communicate efficiently.
A modern data platform can provide actionable insight based on a holistic view of an organization’s data, preventing silos and enabling corporations to integrate data from disparate sources.
Our goal is to make it easy for organizations to import data from almost any source without increasing complexity. In other words, your organization should be able to act on and learn from all the data it collects using a data platform.
Data platforms enable data analytics, migration, cleansing, and archiving in addition to allowing data to analytics. As part of the solution, data is ingested into the system, and enterprise reports are developed, including several features such as data sharing, collaboration, and machine learning models that use AI and machine learning.
The data platform includes the data’s storage, servers, and architecture. As well as that, data ingestion, data consolidation, and ETL processes are required.