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How Data Quality Truly Conditions Business Intelligence Performance
Convincing dashboards. Fragile decisions.
Why Business Intelligence still fails when data quality is not under control.
Business Intelligence has become a cornerstone of strategic, financial, and operational decision-making. Yet in many organizations, trust in dashboards remains fragile.
A KPI does not match operational reality.
Two reports tell different stories.
An indicator changes without explanation.
This “dashboard dilemma” is now a common experience. It slows decisions, fuels internal debates, and weakens BI credibility.
This white paper explores why data quality has become the true foundation of BI performance, and how organizations can move from visually compelling dashboards to genuinely reliable decision-making tools.
What you'll discover in this white paper
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Why poor data quality causes BI to fail, even with high-performance tools
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Real-life case studies (Unity, Equifax, Citigroup) showing the business, financial and regulatory impact of data failures
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What Data Quality Management really means when applied to BI
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The key dimensions of data quality that determine confidence in indicators
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Why business users must become actors in data quality, and not just consumers of BI
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Why an independent Data Quality platform is essential for industrializing BI
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A progressive, ROI-oriented approach to managing data quality at scale
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Why this white paper exists
In many organizations, BI lacks neither data, nor dashboards, nor analytical sophistication.
It fails because :
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data cannot be explained or defended,
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corrections are local, fragmented and untraceable,
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quality is not managed as a business capability.
When BI supports executive, financial or regulatory decisions, this fragility becomes a risk.
This white paper has been designed to set out a clear framework, share a common diagnosis and help organizations secure the decision before industrializing BI.
Who is this white paper aimed at?
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Chief Data Officers (CDOs)
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Heads of Data Quality & Data Governance
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CIO / IT Leaders
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BI & Analytics Managers
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Finance, Risk and Compliance Departments
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