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TDWI Checklist Report | Six Strategies for Data-Centric Decision Making

June 24, 2019

In too many organizations, the promise of analytics is thwarted by unsatisfactory user experiences.

Even as organizations prioritize self-service, users face difficult challenges when seeking truly relevant information for decision making. Most users lack the time, skill, and interest to learn how to properly explore the variety of available data, much less use all the functionality in the tools that deliver analytics and visualizations for gaining value from the data.

Organizations may be able to overcome the difficulties associated with many self-service BI and analytics environments by supplementing them with notifications, alerts, triggers, and AI-driven automated discovery and user recommendations. However, even these advances will fall short if organizations do not address critical issues including data context, user autonomy, and data governance.

This checklist report focuses on six strategic issues that organizations need to address to push beyond barriers and set the stage for greater speed, confidence, and quality in data-driven decision making.

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