> 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.

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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.

> By the numbers

Source of truth — one governed model across ledger, product & cloud data

FOCUS

Cloud billing normalized to the open FinOps standard

SOC 2

Audit-ready lineage & access controls (SOC 2, PCI DSS, SOX)

30+ yrs

Security-grade engineering since 1994

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.

> FAQ

Frequently Asked Questions

What is FinOps, and how does it relate to BI?

FinOps is the discipline of managing cloud spend as a first-class business metric — allocating every dollar to a team, product, or customer and optimizing it continuously. We treat cloud billing as one more governed dataset in your BI platform, so cost sits next to revenue and usage and you see real unit economics instead of a monthly invoice surprise.

Which BI and data tools do you work with?

We're vendor-neutral. Warehouses: Snowflake, BigQuery, Redshift, ClickHouse, or PostgreSQL. Transformations follow tested, version-controlled ELT practice. Dashboards: Power BI, Looker, Metabase, Grafana, or Superset. For FinOps we normalize multi-cloud billing to the open FOCUS standard. We recommend based on your data volume, team skills, and existing licenses.

How do you protect sensitive financial data in a BI platform?

As a security-first firm we design least-privilege, role-based access from the start: PII and cardholder data are masked or tokenized before they reach analysts, every access is logged, and data flows are documented for PCI DSS, SOC 2, and SOX evidence. Analytics never becomes your weakest audit finding.

Our dashboards exist but nobody trusts them. Can you fix that?

Yes — that's the most common engagement. Mistrust almost always traces to two causes: the same metric defined differently in different tools, and pipelines that silently drift from the ledger. We fix both with a semantic layer (one definition per metric) plus automated reconciliation and data-quality tests, then retire the conflicting reports.

How long until we see the first trusted dashboards?

A focused scope — one domain, its sources, and its top metrics — typically ships working dashboards in a few weeks. We deliver iteratively: you see governed data early, and we expand domain by domain rather than promising a year-long platform build.

> Let's talk

See every number in one place

Tell us where your data lives — we'll scope what it takes to design, build, and run BI your board and your auditors both trust.

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