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Most enterprises today are in the pursuit of being data-driven in their approach to building products. The path to achieving this has been to → Generate/acquire data → Convert the data to meaningful information → Derive insights out of the information → Utilize these insights for decision making → Execute those decisions and assess the impact. We at Razorpay call this an intelligence cycle. As a company scales and produces copious amounts of data, the time lag between the first three steps keeps increasing. At most organizations, step 1 & 2 is the responsibility of an engineering team. While step 3 is usually the job of an analyst. With the pace at which some of the new-age companies work, the need is to get from step 1 to 3 in as less time as possible. Such a situation demands a full-stack data analyst.
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
Select your cloud provider:
See what our Open Data Lake Platform can do for you in 35 minutes.