An enterprise must have a data integration solution with built-in functionality to clean incoming data and automate the data integration process.
FREMONT, CA: Businesses should deal proactively with the five Vs. of data—value, variety, velocity, veracity, and volume—due to the tremendous influx of data coming from several source systems. An enterprise may extract the most, standardize the variety of information, deal with data velocity on time, increase the integrity, and handle large amounts of data with a robust data integration tool. Here are a few examples of how data integration companies employ solutions to assist them in building their operations.
Maintain Quality Data And Strengthen Revenues
The impact of data quality on business decisions is directly proportional to its positive or negative impact. Businesses may increase their revenues by up to 66 percent when their data is up-to-date, clear, and insightful. Business decisions are better molded to fulfill their goals without being hampered by bad-quality data when they have access to a high-quality database from which to draw insights. Top cloud-based ETL (Extract, Transform, and Load) tools, on the other hand, provide safe and mobile data access, which can help with disaster recovery and collaboration. An enterprise must have a data integration solution with built-in functionality to clean incoming data and automate the data integration process.
Smarter, Well-Informed Business Decisions
Businesses may better manage, analyze, monetize, and make targeted decisions based on quality data using a smart data integration method. With the best integration technologies, business users can have direct access to the data they need without constantly requesting it from IT, get a complete perspective of their consumer behavior, and leverage strategic insights from their clean data to create a competitive advantage. Smart data integration management is essential for an efficient process that delivers insights quickly.
Companies employ simple data integration tools to build a single source of truth for their data and speed up their internal processes, allowing them to gain valuable insights faster. For example, one Credit Union in the U.S. sought to relocate, sanitize, and transform their legacy data into various formats. With an integration tool, they could complete what would have taken them a week in half the time. In the same manner, healthcare data integration can assist clinicians in making timely judgments.
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