Beyond batch, how ERP steers faster with data streaming

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Data has always been in motion, transitioning between various locations and systems, necessitating timely access and processing mechanisms, which have evolved from batch processing to real-time data streaming.

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The rise of technologies like Apache Kafka and managed services like Confluent enables organizations to handle vast amounts of data in real-time, enhancing decision-making and operations efficiency, while ensuring data accuracy and compliance.

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As businesses increasingly adopt data streaming, the challenge lies in interpreting and utilizing this data effectively, ensuring its authenticity, and creating a seamless integration of real-time data into business processes for improved customer experience and decision-making.