Data Integration Tools: In-depth Guide [2018 edition]

Data integration refers to the processes for taking data from different sources and making it usableThere are four broad subcategories of data integration that each have their own specific tools:

  1. Data warehousing
  2. Data migration
  3. Enterprise Application Integration
  4. Master Data Management

For a more comprehensive look at the topics above, be sure to check out our data integration blog

In this article, you can find out more about these different categories and browse over 40 vendors across them.

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Data Integration: In-depth Guide [2018 update]

To achieve a unified view of data that is sourced from different locations and formats, it is necessary to have an established data integration solution. This can also include occasions when two companies are merging or in the consolidation of internal applications. Data integration can also be beneficial in the creation of a better and more comprehensive data warehouse; ultimately leading to a more accurate and effective analysis.

Data integration is the process of taking data from many disparate sources and making it usable. As the number of sources continues to grow, the need for effective data integration also continues to grow in importance. There are a number of benefits associated with an effective data integration solution. Some of these include:

  • A single and reliable version of truth that is synced and accessible across locations
  • An enhanced capacity for analysis, forecasting, and decision making based on accurate data
  • A fully comprehensive view of an organization and its customers
  • Data availability throughout a business and its stakeholders

Ultimately, data integration lays  the foundation for effective Business Intelligence (BI) and the effective decision making it enables.

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