Economic Intelligence Training

Lesson 1 • Strategic Value of Economic Intelligence

Demonstrates how EI creates competitive advantage and reduces decision uncertainty. Links EI outputs to measurable business and policy outcomes.

Lesson 2 • The Economic Intelligence Cycle

Introduces the collection-analysis-dissemination cycle as the operational backbone of EI. Students map each phase to practical organizational workflows.

Lesson 3 • Defining Economic Intelligence

Establishes precise boundaries of economic intelligence as a discipline. Connects terminology to real-world organizational contexts students will encounter throughout the course.

Lesson 1 • Source Reliability and Validation

Introduces frameworks for assessing source credibility and data accuracy. Students apply reliability scoring before data enters the analysis pipeline.

Lesson 2 • Open-Source Intelligence Techniques

Teaches systematic extraction of economic signals from open sources. Students practice structured search protocols to maximize relevant yield.

Lesson 3 • Building a Collection Plan

Synthesizes source knowledge into a structured, repeatable collection plan. Students produce a plan template tied to defined intelligence requirements.

Lesson 4 • Primary Data Collection Methods

Covers surveys, interviews, and field observation as primary EI collection tools. Students design collection instruments aligned with specific intelligence gaps.

Lesson 1 • Descriptive Statistics Essentials

Reviews measures of central tendency, dispersion, and distribution shape for economic datasets. Grounds subsequent inferential work in accurate data summarization.

Lesson 2 • Forecasting Methods

Introduces quantitative forecasting models used in economic intelligence contexts. Students evaluate forecast accuracy and communicate uncertainty ranges.

Lesson 3 • Time-Series and Trend Analysis

Teaches decomposition of economic time series into trend, cycle, and seasonal components. Students identify leading and lagging indicators within historical data.

Lesson 4 • Correlation and Regression Techniques

Applies correlation and regression to uncover relationships between economic variables. Students interpret coefficients and assess model validity for EI purposes.

Lesson 1 • Synthesizing Qualitative Findings

Teaches integration of qualitative outputs into coherent intelligence assessments. Students practice converting analytical findings into prioritized strategic recommendations.

Lesson 2 • Value Chain and Supply Chain Intelligence

Applies value chain analysis to locate economic leverage points and supply chain vulnerabilities. Connects micro-level firm analysis to macro-level market dynamics.

Lesson 3 • Structured Analytical Techniques

Introduces SATs such as SWOT, PESTLE, and hypothesis testing to reduce analytical bias. Students apply at least two SATs to a live case study.

Lesson 4 • Competitor Profiling Techniques

Guides construction of detailed competitor profiles covering capabilities, strategies, and vulnerabilities. Students synthesize multi-source data into actionable profiles.

Lesson 1 • Currency and Capital Flow Analysis

Analyzes exchange rate dynamics and cross-border capital movements as EI signals. Students identify early warning signs of currency stress and capital flight.

Lesson 2 • Country Risk Assessment Frameworks

Introduces political, economic, financial, and operational risk dimensions for country evaluation. Students apply a multi-dimensional framework to a selected country case.

Lesson 3 • Core Macroeconomic Indicators

Covers GDP, inflation, employment, trade balance, and fiscal metrics as EI inputs. Students interpret indicator movements in the context of strategic intelligence needs.

Lesson 4 • Monetary and Fiscal Policy Signals

Teaches interpretation of central bank decisions and government fiscal actions as economic signals. Students link policy shifts to downstream market and business impacts.

Lesson 1 • Taxonomy of Economic Threats

Classifies economic threats by origin, speed of onset, and impact severity. Provides a shared vocabulary for threat communication across organizational functions.

Lesson 2 • Non-Traditional and Alternative Data Signals

Explores satellite imagery, shipping data, and web-scraped indicators as non-traditional EI inputs. Students evaluate the reliability and lead time of alternative data sources.

Lesson 3 • Early Warning Indicator Systems

Teaches selection and calibration of leading indicators that precede economic disruptions. Students build a monitored indicator dashboard with defined alert thresholds.

Lesson 4 • Financial Market Signals

Interprets equity, bond, credit, and commodity market signals as economic threat proxies. Students practice reading market stress indicators in real-time data environments.

Lesson 1 • Data Visualization for Decision-Makers

Applies visualization principles to translate complex economic data into executive-ready graphics. Students design charts and dashboards that support rapid decision-making.

Lesson 2 • Intelligence Product Formats

Surveys the full range of EI product types from tactical alerts to strategic assessments. Students match product format to audience need and decision timeline.

Lesson 3 • Analytical Writing for Intelligence

Teaches the bottom-line-up-front writing style and structured argumentation for EI products. Students rewrite weak analytical prose into clear, evidence-backed assessments.

Lesson 4 • Oral Briefing and Presentation Skills

Develops structured oral briefing techniques for delivering EI findings under time pressure. Students practice Q&A handling and managing pushback from senior stakeholders.

Lesson 1 • Building an EI Function

Covers organizational models, staffing profiles, and resource requirements for an in-house EI unit. Students evaluate build-versus-buy options for EI capability development.

Lesson 2 • Strategic EI in Crisis Conditions

Adapts EI operations to high-tempo, high-uncertainty crisis environments. Students practice rapid intelligence production under simulated crisis constraints.

Lesson 3 • Intelligence Requirements Management

Teaches formal processes for eliciting, prioritizing, and managing intelligence requirements from stakeholders. Students design a requirements management workflow for a simulated organization.

Lesson 4 • EI Program Performance Measurement

Introduces KPIs and evaluation frameworks for measuring EI program effectiveness and ROI. Students design a balanced scorecard for an EI function.