INTRODUCTION
Instead of clicking through layers of filters to find the exact data point you need, what if you could just ask for it? Conversational Analytics brings natural language AI directly into IMPLAN’s Data Library, transforming how you explore and understand the data behind your models. Whether you need to look up county-level employment figures, compare regional industry outputs, or validate underlying economic indicators, Conversational Analytics lets you ask questions naturally and receive instant, clear answers—saving you time and making deep data exploration more intuitive than ever.
DETAILS
What Is IMPLAN AI Conversational Analytics?
AI Conversational Analytics is a feature that lets you ask the Data Library questions in plain language, rather than manually configuring filters and tables. It provides:
Plain-Language Querying: Ask questions as if you were speaking directly to a data analyst.
Instant Data Retrieval: Access specific regional indicators without hunting through filter menus.
Deeper Insight: Rapidly explore and understand the underlying data powering your models.
Where Do I Find IMPLAN AI Conversational Analytics?
In the Data Library, select Conversational Analytics from the menu. Once inside the Conversational Analytics tab, open the Industry Agent.
Tips for Using IMPLAN CONVERSATIONAL ANALYTICS
- Conversational Analytics is currently available for use with Industry data only. Support for additional data types may expand in future releases.
- Use the Explores
option next to any query result to view the exact query performed.
WHAT CAN I ASK IMPLAN AI CONVERSATIONAL ANALYTICS?
Because Conversational Analytics understands natural language, you don't need to memorize exact field names or navigate complex database settings to get answers. Here are a few examples of how you can ask questions to speed up your research—from exploring top local industries to tracking trends over time.
Explore top industries in a region
Sample Inquiry: "Which industries had the highest output in 2024 in Jackson County, Missouri?"
Instead of manually sorting through massive data tables or applying multiple column filters to rank sectors, you can simply ask for a region's leading industries. Conversational Analytics instantly identifies and ranks top sectors giving you an immediate snapshot of a local economy without the cleanup.
Comparing an industry across years
Sample Inquiry: "How has manufacturing output changed in Travis County, TX over the last five years?"
Tracking historical shifts usually requires toggling between different data year sets and doing manual math. Conversational Analytics surfaces multi-year trends in a single response, allowing you to evaluate industry growth or contraction over time in seconds.
Comparing an industry across regions
Sample Inquiry: "Compare construction employment in Miami-Dade County versus Broward County."
Multi-region comparisons typically mean pulling separate reports and cross-referencing values line by line. By asking to compare an industry across two or more areas, Conversational Analytics automatically pulls the relevant geographic datasets and synthesizes them into a side-by-side comparison for you.
CONCLUSION
Accessing deep economic indicators no longer requires sifting through rows of filtered tables. With Conversational Analytics in the Data Library, you can ask plain-language questions, uncover key regional trends in seconds, and get straight to understanding the data behind your models.
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Written August 11th, 2026