This ebook explains how IT leaders can use analytics automation to balance governance, scalability, and productivity. It outlines four key objectives: increasing data use securely, scaling analytics resources within budget, managing analytics assets without becoming a bottleneck, and maintaining productivity amid talent shortages. The guide demonstrates how centralized analytics platforms improve visibility, compliance, and operational efficiency. Case examples show dramatic reductions in processing time and development effort. The ebook also explores how AI enhances governance, documentation, and insight generation. It concludes that analytics automation enables IT teams to empower the business while maintaining control, reducing costs, and supporting enterprise-wide innovation.

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