Implications of Poor Data Quality
Poor data quality can severely affect management decisions, leading to erroneous analyses, flawed insights, and misguided strategies. Inaccurate, incomplete, or inconsistent data can undermine the credibility and reliability of decision-making processes, resulting in suboptimal resource allocation, ineffective risk management, and missed growth opportunities. Moreover, decisions based on poor-quality data may lead to costly errors, damaged reputation, and diminished stakeholder trust. Without reliable data to inform decision-making, organizations risk making ill-informed choices that can negatively impact performance, competitiveness, and long-term success. Play the video, which describes what one organization did to improve the quality of the data they use in BI systems to support decision-making. What are the top 3-5 lessons that you took away from this discussion?
Source: DATAVERSITY, https://www.youtube.com/watch?v=HNr7xlLaZBI
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