摘要: How does an organization help the self-serve advanced analytics model grow and thrive? Responsibility lies in a number of places within the enterprise.
How does an organization help the self-serve advanced analytics model grow and thrive? Responsibility lies in a number of places within the enterprise.
Data Analysts/Data Scientists: If the business is large enough and sophisticated enough to have data analysts or data scientists on its team, those individuals will benefit from self-serve analytics. Because business users can leverage the tools to make better day-to-day decisions and to perform their own analysis, the professional analyst or data scientist will have more time to focus on strategic initiatives and more complex analytical projects. Look to these professionals to monitor the effects of self-serve analytics on their workload, and to identify opportunities to capitalize on power users, and the advent of data popularity within the organization. By encouraging the adoption of these tools and mentoring appropriate business users, the data analyst will contribute to the advancement of these tools within the organization.
Senior Management: As the executive team incorporates analytics into its strategy and business decisions, it will encourage the use of these tools within the organization. When a middle manager or team member understands that the senior management team values analytics and expects to see data-driven decisions, each business unit and department will embrace the use of self-serve advanced analytics.”
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Full Text: Dataversity
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