To achieve fundamental data quality, data integration is crucial for growing organizations. In a recent blog post by Kore Tech, Maxwell Dallinga, explains how the best data integration tool for the future is Kore Integrate.
Integration processes provide huge organizational boosts, connecting disparate systems and ensuring sources of data are reliable and accurate. Doing so prevents redundant information and data silo backups, keeping tools and applications like AI from being hampered by poor data.
Quality data is the foremost important aspect of generative AI tools. When an AI model is built on poor data, the AI tool simply cannot function at a quality level.
To achieve data quality, data integration tools offer the best way to provide clean, accessible data.
Kore Integrate is a tool that uses ETL (extract, transform, and load) methods to process, clean, and load data into a single data warehouse. This tool works as a data warehousing solution that will improve data reporting, scalability, functionality, and speed.
It also utilizes EAI (enterprise application integration) and REST processes to ensure that the applications of a company are connected to each other. By connecting the disparate sources, data quality can become easier to achieve.
For organizations that use Rocket Software’s UniVerse and UniData MultiValue databases, Kore Integrate is one of the best data integration tools available. Integrate also pulls from ODBC-enabled data sources like SQL Postgres, Oracle, and others, making it versatile across many systems.
Ultimately, strong data integration tools can improve the foundation of business data. This is important, especially as technology like AI becomes a prevalent part of modern businesses.
For more information about Kore, visit www.koretech.com.