Asset Mapping Intelligence · Research series

Research for better geospatial decisions.

Independent, evidence-led Intelligence reports for local government. Read the executive summaries free. Purchase the complete research from $125.

Evidence-led analysis for the people shaping GIS and location strategy in local government.

Grounded
in evidence
Focused on
real-world outcomes
Built for
local government

Less promotion. More evidence. Better decisions.

Free executive summaries · Full reports from $125

Weekly Featured Report

Does Mobile Mapping Actually Pay for Itself?

The evidence on cost, productivity and ROI for local government

Cover graphic for Does Mobile Mapping Actually Pay for Itself?

The reports

Intelligence reports

Premium research reports for purchase. Every executive summary is free to read — the complete report is available from $125.

The Departmental Turn

State of practice

The Departmental Turn

How GIS Is Moving from Mapping Platform to Departmental Infrastructure

Inside the report:

  • Departmental architecture
  • Sherburne County case study
  • AI-assisted plan review
  • Federal funding signals
The First Year Does Not Pay for Itself

Business case

The First Year Does Not Pay for Itself

A Finance-Ready Business Case for Municipal GIS

Inside the report:

  • The year-one ROI math
  • Where GIS value comes from
  • The GIS Investment Test
  • Scenario and demand analysis
Return on Location

Public works & utilities

Return on Location

Where geospatial investment actually pays back — and how to prove it

Inside the report:

  • Five core findings
  • The truck-roll economics
  • The Return on Location scorecard
  • A 12-month program
Landslide Intelligence — The Evidence Edition

Landslide risk

Landslide Intelligence — The Evidence Edition

How GIS, earth observation and AI are helping local governments move from mapping landslide susceptibility to managing infrastructure risk

Inside the report:

  • From susceptibility maps to spatial intelligence
  • What each department asks
  • The Geospatial-AI maturity model
  • A five-step action plan
Does Mobile Mapping Actually Pay for Itself?

Cost & productivity

Does Mobile Mapping Actually Pay for Itself?

The evidence on cost, productivity and ROI for local government

Inside the report:

  • Where the economics work
  • Where they don't
  • Local-government case evidence
  • Five questions before investing
Can AI Predict Which Water Main Will Break Next?

Water infrastructure

Can AI Predict Which Water Main Will Break Next?

What the evidence says about predictive analytics for water infrastructure

Inside the report:

  • Predictive accuracy
  • Data requirements
  • Utility case evidence
  • Procurement questions
Can Street-Level Imagery Replace Traditional Asset Inventories?

Asset inventory & AI

Can Street-Level Imagery Replace Traditional Asset Inventories?

AI, imagery and the changing economics of municipal data collection

Inside the report:

  • What accuracy studies show
  • Asset-by-asset assessment
  • A defensible QA model
  • Procurement questions
How Accurate Is AI-Based Feature Extraction?

GeoAI accuracy

How Accurate Is AI-Based Feature Extraction?

When can local government trust machine-generated GIS data?

Inside the report:

  • Benchmark scores vs. GIS standards
  • Accuracy by data source and feature
  • The transferability problem
  • A seven-gate acceptance framework

Independent research. Transparent evidence.

Asset Mapping Intelligence is editorially independent. Vendors may sponsor distribution or related educational programs, but they do not determine findings, evidence ratings or conclusions.

How the research works

Each Intelligence report starts with a practical question facing government today: Is the investment justified? What does the evidence actually show? What is changing in the market? What should a city or county do next?

We then build the analysis from the evidence outward.

Our Intelligence reports draw on current government research, academic studies, professional standards, public agency case studies, industry data and primary-source material. AI-assisted research helps us examine a wider body of evidence; sources and quantitative claims are then reviewed, compared and placed in context rather than simply repeated.

Where the evidence is strong, we say so.

Where results come from a single jurisdiction, a vendor case study or a forecast rather than a measured outcome, we identify that too.

The objective is not to promote a particular technology or produce another collection of success stories. It is to give local-government decision-makers a concise, evidence-led view of what is working, what remains uncertain, where value is being created and what questions should be asked before the next investment is made.

Who are the Intelligence reports for?

Asset Mapping Intelligence reports are written for the people making and influencing geospatial decisions across local government, including:

  • GIS Directors & Managers
  • Public Works Directors
  • Utility Leaders
  • Planning & Community Development Directors
  • City & County Engineers
  • CIOs & Technology Leaders
  • Asset Managers
  • Emergency Management Leaders
  • Finance & Procurement Teams
  • City and County Executives

Some Intelligence reports are discipline-specific. Others address issues that cut across the organization — from GIS investment and asset management to AI, permitting, infrastructure, data governance and the changing role of the geospatial function.

Start with the decision. Follow the evidence. Be clear about what the evidence does — and does not — prove.