As businesses continue to grow, existing enterprise data warehouses are faced with the challenge of storing and synthesizing increasing data volumes. Legacy platforms are neither easily scalable nor flexible, and enterprises lack the data integrity needed to make accurate and timely business decisions.
A Single Source of Truth (SSoT) is the answer to these challenges. But how can a centralized data warehouse architecture model help reduce support and maintenance costs, while enabling business users to adapt to the new platform? And how well equipped are enterprises for data visualization of batch and streaming data?
In this whitepaper, we will explore:
- Why Single Source of Truth is imperative for today’s enterprises
- The challenges to achieving a unified data model
- The five-step process to achieving to Single Source of Truth
Read the white paper to learn more.
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