Academic

VDA analytics in the classroom, the research program, and the student fund

VDA's analytical products are commercial intelligence tools — each with a specific academic application for programs that want students and faculty working with the same data professionals use. Institution-level licensing, first-year pilot pricing available.

Financial Intelligence

Veridian Academic

Veridian Equity Intelligence (VEI) is a professional financial analytics platform covering the S&P 500 — earnings quality scoring, capital allocation analysis, and 72 financial variables per company, updated with each SEC filing. Veridian Academic gives finance, accounting, and investment programs institutional access to the same platform their students will encounter in professional practice.

Because VEI updates continuously, students analyze current filings rather than historical cases. VEI's interpretive layer — earnings quality and capital allocation scoring — surfaces signals that raw financial data doesn't make visible, directing analysts toward areas of inquiry they might otherwise miss.

Full platform access for undergraduate and graduate finance and accounting courses
Research tier for faculty scholarship and student-managed funds — full catalog with bulk export
Earnings quality and capital allocation scoring
Annual and quarterly panel data, exportable to CSV or Excel
Institution-level pricing, not per seat — first-year pilot available

Visit Veridian Academic → Request pilot pricing

Academic application

The same analytical environment students will encounter in professional practice

Finance & investment courses

Live earnings analysis, earnings quality divergence cases, capital allocation evaluation — updated every filing cycle

Student-managed funds

Structured earnings-quality and capital allocation layer for the stock-pitch process — surfaces signals raw terminals don't highlight

Faculty research

Full catalog access and bulk export for empirical research — proprietary scoring metrics unavailable on standard research platforms

Accounting programs

Accrual analysis, revenue recognition signals, and cash flow divergence applied to current filings

Academic application

Decades of macroeconomic history, structured for research and coursework

Economics & econometrics

162 series across 19 domains — GDP, inflation, labor markets, credit conditions, trade, fiscal policy, inequality, energy, commodities, and more

Policy courses

Historical context by presidential administration and congressional composition — compare economic conditions across political environments

Business & MBA programs

Interest rate environments, credit conditions, sector output, and business activity signals for strategy and forecasting coursework

Law & economics

Regulatory environment data, policy uncertainty indices, and macroeconomic context for law and economics scholarship

Economic Intelligence

VDA Economic Research

VDA's economic database is a professional macroeconomic intelligence resource — 162 confirmed series across 19 domains, 217,000+ observations, updated weekly. Economics, business, and policy programs gain structured access to that database for coursework and research.

19 macroeconomic domains spanning output, prices, labor, credit, housing, trade, fiscal, energy, commodities, inequality, and capital flows
Historical data back to the 1940s–1980s depending on series
Administration and congressional composition filters for policy-period analysis
Institution-level pricing, first-year pilot available

Full database details → Request pilot pricing

Sports Intelligence

Cortex Sports Analytics

Cortex Sports Analytics is a commercial fantasy sports analytics platform built on the same real-time, quality-scoring methodology that underpins VEI. For academic programs, Cortex serves a specific and valuable role: it provides a high-engagement environment where students can observe and test predictive modeling methodology against real outcomes.

The analytical approach — identifying leading signals, measuring divergence between expected and actual performance, and updating models as new data arrives — is directly transferable to financial, economic, and business analytics contexts. Cortex makes that methodology tangible and testable in a domain students already understand.

Sports management and sports analytics programs — applied performance analytics
Analytics and data science programs — predictive model calibration against real outcomes
Quantitative methods courses — signal detection and model updating methodology
MBA and business programs — analytics methodology in a high-engagement context

Visit cortexsportsanalytics.com →

Academic application

Real-time analytics methodology in a domain students already understand

The methodology

Identify leading signals, score quality divergence between expectations and outcomes, update models as new data arrives — the same approach applied in VEI and VDA Economic

Why sports works pedagogically

Outcomes are frequent, observable, and unambiguous — students can test and refine predictive models quickly and see the results in real time

Transferable skills

Signal detection, model calibration, and performance divergence analysis apply directly to financial, economic, and operational analytics

Custom academic builds

Programs with specific data or analytical needs that don't fit a standard offering can work with VDA on a custom engagement. Custom academic builds are scoped to your curriculum, research agenda, or institutional requirements — and benefit from VDA's existing data infrastructure, which significantly reduces build time and cost.

Custom engagements have included specialized data builds, bespoke scoring frameworks for research programs, and analytical environments designed around specific course objectives. If a standard offering doesn't fit, reach out — we'll tell you honestly whether a custom build makes sense.

Submit an inquiry →