מחקר תחרותי באמצעות AI ל־FP&A

Storytime about how I used AI Deep Research for FP&A Benchmarking;

In FP&A, delivering quick, actionable insights is key, from understanding competitors to market trends.

I recently used 𝐆𝐞𝐦𝐢𝐧𝐢 𝐃𝐞𝐞𝐩 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 (ChatGPT & Perplexity have similar capabilities) for a research project to answer: 👉 How do SaaS companies like JFrog value Professional Services? Do they hire partners or invest in internal teams? what is the average hourly rates across similar industry? The result came in few minutes, detailed in A 22-page analysis, leaning on 80+ web resources, uncovering that: Professional Services (PS) is a strategic enabler, driving revenue growth and platform adoption, competitors use a hybrid model combining internal teams and partner ecosystems, and PS is evolving from basic implementation to ongoing value realization, especially around cloud migration and security. Hourly rate typically falls between $175 and $350.

For FP&A, these insights support 𝐛𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠, 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠, and 𝐟𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠, driving smarter decisions.

𝐎𝐭𝐡𝐞𝐫 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐈𝐝𝐞𝐚𝐬 𝐟𝐨𝐫 𝐅𝐏&𝐀: 🎯 Market trend analysis: scan for key market shifts. 🎯 Competitor benchmarking: automate competitor financial analysis. 🎯 Risk management insights: spot emerging risks with AI. 🎯 Scenario Planning: simulate financial scenarios automatically. 🎯 Customer retention modeling: predict churn and optimize strategies.

💡 Have you tried using AI Deep Research in your role?