Data integration allows you to fetch all the information necessary for decision-making. Generally, data is kept in a multitude of hard-to-reach places and in a phenomenal number of forms. That’s why it is important to put everything together under one roof in order to get quality data that you can work with.
You Should Only Have One Truth!
The importance you put on integrating your data into an organization is directly related to the value you want to gain from it. That’s why we need integration tools that collect, read, and migrate large volumes of raw data from multiple data sources and across disparate platforms. These tools load this data into a single database, data store, or data warehouse for easy access. In addition, they process data to make it meaningful with operations such as sorting, joining, reformatting, filtering, merging, and aggregating. It is thanks to their graphical interfaces that we manage to achieve faster results than traditional methods of moving data on hand-coded data pipelines.
Integration tools break down data silos and allow your data scientists or analysts to easily access and analyze data and transform it to create information that is relevant to your decisions. In short, data integration tools are the first step in the data warehousing process and allow you to analyze and cross-reference all your data in less time.