Preferred method of contact:

Applying Activity-Based Intelligence (ABI) Methods



Course Number



5 Days
Request Team Training

PDF Add to WishList

Expand your analytic capabilities beyond traditional all-source methods and integrate them with best practices for big data analytics. In this training course, you will identify and develop low-signature targets and activities of interest by applying the four pillars of Activity-Based Intelligence (ABI), and gain an understanding of the analytic methodology to prepare your data for application.

You Will Learn How To

  • Expand your ABI analytic capabilities and integrate them with big data analysis techniques
  • Prepare your data to overcome challenges and resource limitations, and address new questions at the speed of mission
  • Uncover Patterns of Life (PoL) using ABI techniques
  • Apply the four pillars of ABI

Important Course Information


  • You must be a U.S. citizen to attend this training
  • Strong analytic experience in at least one intelligence or data discipline

Recommended Experience:

  • An academic or practitioner background in military intelligence, foreign intelligence or law enforcement
  • Prior knowledge and experience working with metadata, analyzing multiple data sources, developing products and briefing assessments for decision-makers

Course Outline

  • Key Factors Impacting the Practice of Intelligence
  • Technology
  • Methodology
  • Data
  • Mission
  • Culture
  • Cognition

Intelligence analysis: A special type of work

  • Thinking, writing, speaking and imagining
  • Our brains as our most valuable tool
  • Thinking About Thinking

Analysis as forecasting and modeling

  • Achieving excellence in forecasting
  • Modeling Pattern of Life (PoL)
  • ABI as judgemental bootstrapping

Forecasting and cognitive style

  • Cognitive style assessment
  • Cognitive style and Subject Matter Expertise
  • ABI as an Analytic Methodology

A strategy for addressing concurrent analytic challenges

  • Overcoming data sparseness
  • Lack of signature
  • Volume
  • Resolution
  • Confidence

Why activity is important?

  • Tuning for richness and volume
  • Creating an avenue for data discovery
  • Uncovering "unknown-unknowns"
  • Thinking About Data

Characterizing data types

  • Analyzing human-generated data
  • Understanding machine-generated data

Activity-based perspective on data

  • Understanding the source vs. extracting the insight
  • The power of metadata
  • Analyzing data vs. information vs. knowledge

Optimizing resource allocation

  • Focusing data acquisition resources on activity
  • Forecasting as an enabler of resource allocation
  • Knowing when and where to look for activity
  • Preparing Your Data

Georeference to discover

  • Identifying spatial cues in diverse data streams
  • Applying tools to extract spatial features

Integrate before exploit

  • Categorizing data by activity type
  • Unlocking connections across data types through multi-layered preprocessing
  • Optimizing exploitation
  • Discovering Correlations through Spatiotemporal Analysis

Sequence Neutrality

  • Enabling visual data discovery
  • Applying constraints and filters
  • Assembling context around the subject

Data Neutrality

  • Using locations to uncover context
  • Linking data through activity
  • "Who-where-who?" / "Where-who-where?"
  • Developing Hypotheses and Assessments

Modeling Behavior

  • What are models?
  • Forming your hypothesis
  • Testing your hypothesis

Reasoning styles

  • Deductive
  • Inductive
  • Abductive
  • Production and Briefing

Developing ABI Products

  • Depicting PoL
  • Conveying activities of human networks with clarity
  • Communicating in static vs. dynamic formats

Delivering ABI results to stakeholders

  • The art of storytelling
  • Communicating to decision makers
Show complete outline
Show Less

Exclusive Private Team Training Course

Enhance your team's effectiveness and boost productivity with this course, delivered privately to your organization or to any preferred location, including options for hybrid or all-virtual delivery via AnyWare.

This training course could be customized, and combined with other courses, to meet the specific needs of your team's training.

Preferred method of contact:

Attendee Benefits

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online at any time after class and receive a Certificate of Achievement with the designation "Awarded with Distinction."


Enhance Your Credentials with Professional Certification

Learning Tree's comprehensive training and exam preparation guarantees that you will gain the knowledge and confidence to achieve professional certification and advance your career.

Earn 29 Credits from NASBA

This course qualifies for 29 CPE credits from the National Association of State Boards of Accountancy CPE program. NOTE: Only live, in-class attendance qualifies for NASBA CPEs. Read more ...

- ,

Chat Now

Please Choose a Language

Canada - English

Canada - Français