Introduction
In the last two decades, many businesses have had to change their models as business operations continue to complicate. The major challenge companies face today is that a large amount of data is generated from multiple data sources. So, data analytics have introduced filters to various data sources to detect this problem. They need analytics and business intelligence to access all their data sources to make better business decisions.
It is obvious that the company needs this data to make decisions based on predicted market trends, market forecasts, customer requirements, future needs, etc. But how do you get all your company data in one place to make a proper decision? Data ingestion consolidates your data and stores it in one place.
3 Challenges of Integrating Heterogeneous Data Sources
With enterprise data pouring in from different locations — CRM systems, web applications, databases, files, etc. - integrating heterogeneous data sources is a major challenge in streamlining data process. In such a scenario, standardizing data becomes a pre-requisite for effective and accurate analysis. The absence of the right integration strategy will give rise to application-specific and intradepartmental data silos, which can hinder productivity and delay results.
Consolidating data from disparate structure, unstructured, and semi-structured sources are complex. A survey conducted by Gartner revealed that 1/3 respondent companies consider “integrating multiple data sources” as one of the top four integration challenges.