BlockDataFinance is an independent financial data auditing and analytics firm. We don't have years of history as a firm — but the team behind it brings real experience in financial auditing and analysis, plus a clear methodology and the willingness to prove it from the first conversation.
Finance teams and leadership at small and mid-sized companies who need clarity on their data — without the overhead or cost of a large firm.
We'd rather be upfront from the start: BlockDataFinance as a firm is new. We don't yet have a long client roster or case studies to show you, and we're not going to invent numbers to suggest otherwise.
What isn't new is the experience of the people behind it: years of prior work in financial auditing and analysis, brought together under one methodology. That, and the willingness to start with a free initial assessment — so you can judge the work before committing to anything more.
We'd rather earn trust by showing how we work, not by promising results we haven't delivered yet.
Six areas of work centered on financial data — auditing, analytics, and governance, applied with the same rigor regardless of project size.
Review of your records, data pipelines, and reporting integrity, to catch inconsistencies before they reach the board.
Revenue projections, cash flow modeling, and risk scenario analysis, grounded in your historical data.
P&L, balance sheet, and cash flow analysis to surface ratios, trends, and anomalies systematically.
Design of reliable financial data infrastructure, from data lineage to clear governance frameworks.
Identification of risk patterns and verification that your reporting aligns with applicable regulatory frameworks.
Support for C-suite and boards, translating technical findings into clear, actionable decisions.
A four-phase process, the same for every client — because discipline shouldn't depend on project size.
We review your current data infrastructure and identify quality and integrity gaps before proposing anything.
Read-only connection to your accounting systems or data warehouse, encrypted and aligned with enterprise standards.
We apply statistical analysis and financial modeling calibrated to your industry and company size.
Clear reports and hands-on support while your team implements the recommendations — we don't leave you with just a PDF.
Instead of promising results we haven't delivered yet, here's exactly what we're trained in.
Methodology aligned with the accounting and internal control frameworks most used by mid-size and large companies.
Revenue, EBITDA, and cash flow projection using time-series techniques and applied machine learning.
Verification of data lineage, reconciliations, and anomaly detection across accounting records.
Clear documents, free of unnecessary jargon, built for real C-suite decisions.