Design. Build. Run.
BI for FinTech & FinOps
Financial data ends up scattered — payment processors, ledgers, product databases, and cloud bills that never agree with each other. RHC Solutions designs, builds, and runs business intelligence for FinTech companies and FinOps teams: governed data pipelines, a single source of truth, dashboards people actually trust, and cloud cost analytics that connect spend to unit economics — engineered with the security and audit rigor financial data demands.
Trusted by
Business intelligence (BI) turns raw operational data into decisions — for a FinTech that means payments, ledger, risk, and product data unified into governed metrics; for FinOps it means cloud spend allocated, normalized, and tied to business value like cost per transaction or per customer. RHC Solutions delivers both end to end: we design the data model and KPIs, build the warehouse, ELT pipelines, semantic layer, and dashboards on your cloud, and run the platform in production — monitored, reconciled, and audit-ready.
What we deliver
BI Strategy & KPI Design
We map your sources, define the metrics that matter — from regulatory ratios to activation and churn — and prioritize a roadmap by ROI, so the first dashboard shipped is the one the business actually runs on.
Data Warehouse & ELT Pipelines
Ingestion from payment processors, core ledgers, product databases, and SaaS tools into a governed warehouse — Snowflake, BigQuery, Redshift, ClickHouse, or PostgreSQL — with tested, documented, version-controlled transformations.
Dashboards & Self-Service Analytics
Executive, operations, and regulatory dashboards in Power BI, Looker, Metabase, Grafana, or Superset — on a semantic layer where every metric has exactly one definition, so finance and product stop arguing about whose number is right.
FinOps & Cloud Cost Analytics
Tagging and allocation, showback and chargeback, anomaly alerts, and commitment planning across AWS, Azure, and GCP — joined to your business data for true unit economics: cost per transaction, per customer, per feature.
Reconciliation & Regulatory Reporting
Automated reconciliation against the ledger, full data lineage, and audit-ready reporting for SOX, PCI DSS, and SOC 2 evidence — because in FinTech a dashboard that can't survive an audit is a liability.
Embedded & Real-Time Analytics
Customer-facing analytics inside your product and streaming metrics for payment, fraud, and treasury operations — built on the same governed data model as your internal reporting.
How teams get financial visibility — compared
| Approach | When it works | Where it breaks | Effort |
|---|---|---|---|
| Spreadsheets & CSV exports | First metrics for a small team | Silent formula errors, no audit trail, hours lost every close | Low |
| Per-tool SaaS reports (processor, billing, accounting consoles) | Single-source questions | Every tool reports a different number; no cross-source view | Low |
| Cloud-native cost tools (AWS Cost Explorer, Azure Cost Management) | Spot checks on one cloud’s spend | No unit economics, weak multi-account allocation, no business context | Low–Medium |
| Governed warehouse + semantic layer + FinOps analytics | One trusted model across revenue, ledger, product & cloud cost | Needs real design and ownership — the part we design, build & run | Medium |
Most FinTech reporting pain is not a tooling problem — it’s the absence of one governed data model. That model is the deliverable; the dashboard is just its interface.
How we engage
We work design–build–run. In Design, we audit your data sources, agree the KPI catalog and metric definitions with finance and product, and design the warehouse and security model. In Build, we implement pipelines, the semantic layer, dashboards, and FinOps allocation on your cloud — with data-quality tests and reconciliation from the first release. In Run, we operate the platform: monitoring pipeline health and data freshness, investigating anomalies, tuning cost, and extending the model as the business grows. Vendor-neutral throughout — we build on the warehouse and BI tools you already license wherever they fit.
Frequently Asked Questions
What is FinOps, and how does it relate to BI?
Which BI and data tools do you work with?
How do you protect sensitive financial data in a BI platform?
Our dashboards exist but nobody trusts them. Can you fix that?
How long until we see the first trusted dashboards?
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