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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 133
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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Collect and prioritize pain points and key performance indicators (KPIs) across the organization. While a business intelligence strategy should include multiple stakeholders, it is imperative to have a sponsor to spearhead the implementation. Identify key performance indicators (KPIs).