A strong organizational foundation, especially in the AI era, relies heavily on data quality, enabling businesses to scale effectively and implement modern technologies.
Data integration is crucial for achieving fundamental data quality, connecting disparate systems to ensure reliable and accurate data and prevent silos.
Despite the importance of data integration, 89% of companies struggle with it, highlighting the challenges organizations face in achieving high data quality.
The primary goal of data integration for companies should be to obtain a single, accessible source of accurate, quality data to support decision-making.
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