At a time when data is viewed as one of an organization’s most valuable assets, it’s no surprise that companies are consuming huge volumes of data. Yet data has no intrinsic value. It only has potential value. While that potential value is vast, it is largely contingent on three main factors: 1. Data quality—the foundation of data trust and reliability. 2. Data governance—to ensure data is easily understood, readily found, appropriately accessed and correctly used. 3. Data analysis—to turn raw data into business insights To realize data value, companies must generate actionable business intelligence from quality data to increase innovation, competitive advantage, growth and revenue. When organizations use flawed data for analysis, the inaccurate and unreliable output creates user d

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