HeyJaredBusiness Analytics Review
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- Indexed issues, last 90 days
- 16
- Latest publication
- Sep 30, 2026
- Audience
- Checking…
- Earliest in this view
- Sep 20, 2026
Latest issues
The $16k/mo business hiding in "closed-lost" deals. (opens the original)
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Pipeline Resurrection: Turning Dead CRM Data into Revenue with AI<img alt="" class="sizing-normal" height="971" src="https://substackcdn.com/image/fetch/$s_!6n5U!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws
Freemium: Modern Marketing Mix Modeling (MMM) (opens the original)
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Hello!Welcome to today’s edition of Business Analytics Review!Marketing teams are spending more on data infrastructure than ever before, yet their visibility into what actually drives revenue has never been worse. The culprit is not a lack of analytical tools. It is a fundamental collapse of the deterministic tracking architecture that defined the last decade of digital advertising. As major mobile ecosystems restricted device identifiers and browsers began obfuscating third-party cookies, the p
Why your competitor alerts are useless (and the AI fix). (opens the original)
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The AI Competitor Radar That Replaces Hours of Manual Monitoring<img alt="" class="sizing-normal" height="971" src="https://substackcdn.com/image/fetch/$s_!l_rP!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.
Why the smartest enterprise AI deployments are suddenly getting smaller (opens the original)
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The Edge SLM Flippening: Why Enterprises Are Abandoning Frontier Models for Routine Tasks<img alt="" class="sizing-normal" height="971" src="https://substackcdn.com/image/fetch/$s_!y9D_!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack
Freemium: Human-in-the-Loop vs. Human-on-the-Loop: Redefining AI Supervision (opens the original)
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Hello!Welcome to today’s edition of Business Analytics Review!Most teams still treat every AI decision as a gate that must slam shut before anything moves. The result is a system that crawls at human speed while the underlying model could finish the work in milliseconds. That mismatch is no longer a theoretical tension. It is the primary reason promising agent deployments stall in production, burn reviewer capacity, and quietly train operators to rubber-stamp outputs they no longer have time to
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