Question

2.     Why is data integration an important factor

Answer 1

Data integration means combining information from various sources into something useful. It’s about efficiently managing data and making it available to those who need it .

Importance:-

(1) Every data format was designed for a reason. Each one represents information in a way no other format can, with unique attributes, metadata, structure, and schema. Integrating data from different formats adds various levels of specialty to the dataset.

(2) every piece of software that works with data represents, analyzes, and transforms information in a specialized way. By integrating data into a format accepted by that application, you’re giving yourself the power to open and use your data in that software.

(3) Data integration is about managing complexity, streamlining connections, and making it easy to deliver data to any system. This might involve creating a data hub that’s easy to publish to and subscribe to.

(4) Bringing disparate datasets together increases the value of the information.

(5) Centralizing your data makes it easy for anyone to retrieve, inspect, and analyze it. Easily accessible data means easily transformed data. People will be more likely to integrate the data into their projects, share the results, and keep the data up to date. This cycle of available data is key for innovation and knowledge sharing.

(6) With accessibility comes easier collaboration. Anyone who works with your data will find it easier to use brain power now that they can actually use the data in the format they require.

(7) Integrated data means transparent processes within your company. By giving people the flexibility to use your data in whatever system, you’re giving them the opportunity to better understand the information. It’s much easier – and more informative – to navigate through organized repositories that contain a variety of integrated datasets.

(8) Data integration technology should cleanse and validate the information passing through. Obviously, we all want our data to be robust and high quality. An integration strategy ensures data is free of errors, inconsistencies, and duplication.

(9) An integrated data solution makes it easy to keep information up to date. One input can propagate across all integrated systems, keeping your data current. In fact, your data can even be real-time if a server or cloud solution is part of the integration strategy.