Organizations face critical challenges in realizing the full potential of cloud analytics in a complex, multi-cloud world. In particular, data quality and data management present significant stumbling blocks for enterprises seeking timely ROI from their investments in consolidating and modernizing data warehouses and data lakes in the cloud.
As enterprises build, consolidate, or modernize analytics in the cloud, a key concern is the data. Organizations that can avoid them in the cloud will be better positioned to seize competitive advantage, drive innovation, and gain more value from their investments from day one.
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