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In today's data-driven world, the quest for accuracy is paramount, yet achieving completely accurate data can be both challenging and costly. This session will explore the trade-offs between complete data accuracy and data that is "good enough," examining how to strike the right balance to support effective decision-making and optimize resource allocation.
In the era of big data, organisations must navigate the fine line between striving for perfect accuracy and recognizing when data is good enough to drive effective decision-making. Understanding how to balance these considerations is crucial for optimizing resources, minimizing risks, and achieving business goals. This session will provide valuable insights and practical strategies for managing data quality, ensuring that data is both reliable and actionable.
Join us to explore the nuances of data accuracy, learn how to determine the right level of quality for your needs, and discover best practices for maintaining data that is fit for purpose.
