The traditional data architectures that have dominated IT infrastructures in the past are no longer capable of supporting the enormous loads of today’s businesses. For this reason, we are going to detail the 3 most important advantages of modernizing data architecture, capable of incorporating it into industry 4.0.
Take A Centralized Approach to Integration
Big Data is often complex to manage. Data is often fed from multiple sources into different data warehouses and data lakes. The integration of this information is achieved thanks to the functions of a cloud data architecture, which optimizes the centralization of data and allows users to configure and manage it throughout the organization.
Eliminate The Latency of Hybrid Environments
The operational data value is reduced by approximately 50% after 8 hours. Replicating this information from one place to another increases the latency in the process. Decisions based on, for example, stock inventory, improved customer service, or overall organizational efficiency need to be handled in real-time. To solve all these demanding requirements and losses, a good data architecture encourages organizational hyperconnection. This makes data available throughout the company to all users who have access to it, with as little waiting as possible.
Create Analytics-ready Data and AI
While collecting information in the data lake is easy, processing it is a complicated activity, as is handling continuous updates, merging data, and creating structures ready for the necessary assessments. Modern data architecture not only puts information where it should be but also automates the creation and refresh based on requirements. With this in place, traders and analysts can spend more time analyzing than document preparation.
Now that you know a bit about the advantages of modernizing data architecture, if your organization is looking for big data consulting or data architecture consulting, feel free to contact us..