Why Integrate Architecture with Data Analytics?

Having a large pool of enterprise data and being able to derive business value from the same data are two very different things. While the availability of such volumes of datasets is no surprise for large enterprises, the access, analysis and manipulation may require some deliberation. However, despite the advancements in technology and computing infrastructure over the years, there are still numerous legacy system architectures in place, making it difficult for enterprises to accumulate data from silos.

This is why the effectiveness of implementing big data analytics solutions relies on the ability of the enterprise to automatically and effortlessly integrate data collected from multiple sources.
It also becomes easier for data analysts to uncover patterns in the datasets once the internal and external organizational data are combines, further empowering businesses in making more informed decisions. Visualizing data is essential to create a full-view of market and consumer sentiments. With multiple options like software for conventional data integration, pre-built system connectors or integration functionalities built-into the data discovery and visualization tools to combine data, visualization becomes easy.

With these data discovery tools, enterprises can generate a three-dimensional view of their business data for formulating critical business decisions. However, with inadequate data integration facilities, the view is skewed towards a one-dimensional view, which is why it is essential to integrate the system architecture with the relevant technologies.

Clavax Technologies is a provider of big data analytics solutions that strives to enable businesses to merge multiple datasets from their independently functioning silos into a unified view. Additionally, as an iOS app development company, they offer enterprise mobility solutions by leveraging the utility enterprise big data.