What are the main challenges in data integration?
An example of an AI chatbot conversation about challenges in data integration.
What are the main challenges in data integration?
The main challenges include data quality, data silos, and compatibility between different systems.
Can you explain why data quality is a challenge?
Data quality is crucial because inaccurate or incomplete data can lead to poor decision-making and analysis.
What are data silos?
Data silos occur when data is isolated in separate systems, making it difficult to access and integrate.
How can organizations overcome these challenges?
Organizations can implement data governance, use integration tools, and promote a culture of data sharing.
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