Agent Mode: Deep Research for Analytics

Unstructured Data Analytics for Pharma: Why Your Richest Intelligence Never Gets Used

The post says pharma’s most valuable insights live in unstructured content (CRM call notes, MSL interaction reports, payer meeting summaries, slide decks, emails/PDFs), but they rarely get analyzed at scale—so teams end up relying on skims and anecdotes; it then explains how Tellius uses AI agents to connect to those sources, extract entities (products, competitors, objections, sentiment), cluster recurring themes, and answer natural-language questions with supporting citations, highlighting a biotech example where analyzing 15,000+ MSL reports helped surface competitive signals faster and cut manual synthesis from weeks to same day.

Why Did Market Share Decline? The Decomposition Analysis Most Teams Get Wrong

Most CPG teams can see that market share moved, but not why—because they rely on slow, manual “share analysis” that stops at charts instead of diagnosis. The blog explains how proper market share decomposition should break a change into concrete drivers (distribution, velocity, price/mix, and competitive moves) at retailer, region, and segment level, instead of confusing simple correlations or national averages with true attribution. It shows how AI automates the hard parts—data integration, baseline modeling, and competitive tracking—so brand managers can ask “Why did share drop at Kroger last month?” and instantly see quantified drivers and recommended actions. With this always-on decomposition, teams move from week-long investigations and stale insights to fast, retailer-specific decisions that actually recover and grow share.

How Agentic Analytics Automates Executive Reporting

AI-powered narrative generation turns variance analysis into board-ready CFO commentary in seconds instead of days. The blog shows how agentic analytics monitors performance continuously, decomposes variances, and auto-writes tailored summaries for executives, business partners, and the board—while keeping every sentence traceable to source data. Finance leaders still own the judgment and messaging, but they reclaim close-week time by automating the repetitive “what happened and why” part of reporting.