A major hurdle in achieving business sustainability is the "data dilemma": poor data quality &integration, leading to flawed decision-making. Despite increasing interest in ESG, many companies struggle with scattered, inconsistent, &incomplete sustainability data. For instance, a 2025 report indicates that 57% of companies cite data quality as their top concern. This isn't merely a technical issue; it's deeply rooted in organizational culture &lack of standardized frameworks. 2021 FERF report revealed that 85% of companies use multiple reporting frameworks, creating fragmented datasets. Without unified metrics &accessible, reliable data, businesses face "analysis paralysis" or "greenwashing" accusations, eroding trust. The average annual cost of poor data quality is $15 million, highlighting the tangible impact. Overcoming this requires robust data governance, cross-departmental collaboration, &investing in skilled personnel to translate data into actionable insights.
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