Loan Analytics for Credit Unions & Banks | Arkalytics

What is Loan Analytics?

Loan analytics is the practice of combining loan origination, servicing, and core data to assess portfolio health, analyze performance by product, understand recent lending trends, identify high-performing indirect auto-dealers, and manage portfolio risk. It covers metrics like loan types, balances, credit scores, interest rates, status, maturity, and past-due characteristics. Arkalytics delivers loan analytics capabilities through a governed data lakehouse built specifically for credit unions and community banks.

ArkaIQ - Ask a question.
Get an answer in seconds.

"What is our total loan balance by loan type and delinquincy status?"

ArkaIQ is an AI assistant built directly on top of your governed data foundation. Frontline staff, analysts, and leadership can ask natural language questions about members, loans, accounts, and trends to get accurate answers in a fraction of the time it takes to build a custom report.

Natural and plain language questions, answered from your data
No SQL necessary, no waiting on an analyst or a report request
Built on a secure, governed data lakehouse foundation

Loan analytics: What lending and risk teams ask us first.

Why is loan analytics important for credit unions and banks?

Loan analytics helps credit unions and banks understand not just how much they're lending, but where that risk and opportunity actually sits across dealers, geographies, loan types, and individual borrowers.

Without it, institutions are reacting to problems (like rising charge-offs or concentration risk) after they show up on a balance sheet, rather than spotting the patterns early.

How can I explore my loan portfolio without SQL or IT support?

The Loan Workbench lets you filter, slice, and drill into individual loans or groups of loans by variables such as loan type, source, status, balance, and credit score, without writing SQL or filing an IT request. It's built for self-service exploration by your lending and analytics teams.

Users can also leverage secure generative AI tools like ArkaIQ to ask questions of their institution's data for quick answers.

Can I analyze lending performance by branch, geography, and product?

Yes. Arkalytics lets you compare loan distribution by geography and branch, identify your most popular products, examine originations versus maturities, and evaluate dealer and indirect-lending trends, all from the same unified data foundation.

How does Arkalytics standardize loan reporting across systems?

Arkalytics standardizes loan reporting across systems through a consistent data model, business rules, and configurable mappings which includes:

Normalizing loan data into a common banking data model
Translating source codes into business-friendly categories
Applying consistent hierarchies across dashboards
Keeping mappings current through self-service updates
Reporting across connected data sources

How can we analyze our loan portfolio?

A practical approach to loan portfolio analysis centers around four key areas:

Tracking core KPIs (loans opened, payoffs, charge-offs, delinquencies, balances)
Segmenting your portfolio by loan type/branch/geography and understanding trends within each area
Creating business rules that help you assess and manage risk concentrations (credit score, LTV trends, loan types)
Reviewing overall growth versus maturity, and drilling into details via tools like a loan workbench.

The overarching goal is to move beyond simply noting "what changed" to understanding "which products, segments, or sources explain the change," so that insight can inform risk management, product strategy, and lending decisions.