Utilisation of Data Pipeline Architecture by Indian Enterprises — By AIM Research & Hansa Cequity

Businesses are increasingly harnessing data for various analyses—exploratory, predictive, inferential, and causal. As the role of data increases, problems related to data flow get magnified in scale and impact. Data flow can be unreliable and in transit, bottlenecks can interrupt the flow. That is why a defined data pipeline architecture becomes critical. Data pipeline architecture […]

Utilisation of Data Pipeline Architecture by Indian Enterprises
Businesses are increasingly harnessing data for various analyses—exploratory, predictive, inferential, and causal. As the role of data increases, problems related to data flow get magnified in scale and impact. Data flow can be unreliable and in transit, bottlenecks can interrupt the flow. That is why a defined data pipeline architecture becomes critical. Data pipeline architecture ensures smooth data flow and enables real-time analytics for faster and more effective data-driven decision-making. A review of the existing literature help understands how data is powering modern enterprises, but at the same time, how a lack of a robust architecture or frameworks stands in the way of utilising the same to its full potential. For instance, a Capgemini study has found that while organisation
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