document: Enabling analysts in managed services for CRM analytics Data analytics tools and frameworks abound , yet rapid deployment of analytics solutions that deliver actionable insights from business data remains a challenge . The primary reason is that on-field practitioners are required to be both technically proficient and knowledgeable about the business . The recent abundance of unstructured business data has thrown up new opportunities for analytics , but has also multiplied the deployment challenge , since interpretation of concepts derived from textual sources require a deep understanding of the business . In such a scenario , a managed service for analytics comes up as the best alternative . A managed analytics service is centered around a business analyst who acts as a liaison between the business and the technology . This calls for new tools that assist the analyst to be efficient in the tasks that she needs to execute . Also , the analytics needs to be repeatable , in that the delivered insights should not depend heavily on the expertise of specific analysts . These factors lead us to identify new areas that open up for KDD research in terms of ` time-to-insight ' and repeatability for these analysts . We present our analytics framework in the form of a managed service offering for CRM analytics . We describe different analyst-centric tools using a case study from real-life engagements and demonstrate their effectiveness .
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