Consumer Financial Complaints Dashboard (Power BI + R)

An interactive Power BI dashboard analyzing CFPB consumer complaints with trend forecasting, geographic and product breakdowns, and causal factor analysis using R models.
Dashboard
Power BI
R
Featured
Author

Aleksei Prishchepo

Published

October 27, 2025

Project Overview

A Power BI dashboard analyzing CFPB consumer complaint data with built-in forecasting and causal analysis. The project focuses on turning public regulatory data into forward-looking, decision-ready insights for risk and compliance analysis.

NoteRole

BI Analyst & Developer

NoteTools

Power BI, Power Query, DAX, R (time-series analysis), custom visuals

NoteDomain

Financial services, consumer protection, regulatory analytics

Key Features & Components

Trend analysis of consumer complaints

Identifies long-term patterns and structural changes in complaint volumes across financial products and institutions.

Forecasting of complaint volumes

Uses time-series modeling to anticipate future complaint levels, enabling proactive risk, compliance, and capacity planning.

Causal analysis of complaint drivers

Applies causal inference techniques to understand why complaint volumes change, separating underlying drivers from surface correlations.

Company & geographic concentration analysis

Highlights institutions and regions that disproportionately contribute to complaint volumes, supporting prioritization and oversight.

Product-level issue diagnostics

Reveals which financial products and issue types generate the most consumer friction, guiding targeted investigation and remediation.

Dashboard Design

Implementation

See details of implementation in the blog post

Data Preparation

Cleaned and standardized raw CFPB complaint data using Power Query, focusing on temporal consistency, categorical normalization, and analytical readiness.

Embedded Analytics

Implemented forecasting and causal analysis using R scripts running directly inside Power Query.

Data Modeling

Built a performant semantic model optimized for time-series analysis, forecast comparison, and dimensional slicing.

Visualization Design

Emphasized clarity and decision-readiness, with clear separation between historical data, modeled forecasts, and causal insights.

Outcomes & Impact

Enables forward-looking monitoring of complaint trends.

Helps identify products and institutions driving complaint growth.

Demonstrates how advanced analytics can be embedded directly into BI workflows.

Skills Demonstrated

Business Intelligence dashboarding • Public data analytics • Financial services domain knowledge • Data modeling & ETL • Power BI & DAX • Analytical storytelling • Regulatory and compliance analytics

Apply This to Your Business

If your organization could benefit from advanced analytics embedded into Power BI dashboards to support risk, compliance, or operational decision-making, let’s talk. I can help design and build tailored BI solutions that turn data into actionable insights.

See Also

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