Data preparation is the first step in modern data analytics and BI, data science, and data integration.
Data preparation takes more than 60% of the data analytics time. With business is demanding faster time to insight to remain competitive, analytics is becoming more pervasive across the enterprise and those insights are being derived from larger numbers of diverse data sources, both internal and external to the enterprise, with varying degrees of trustworthiness. This increases complexity.
Data preparation processes reduces time to insight for analytics & is the first step for data analytics.
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