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Financial Services

Treasury, risk, and compliance analytics on Superset

Finance operations demand accuracy, auditability, and speed. D23 builds managed Superset dashboards for treasury and liquidity monitoring, month-end close tracking, regulatory reporting, and risk analytics — connected to your core systems with row-level security built in.

The real cost of the status quo

You know exactly where the day goes

  • 1Month-end close status lives in a shared spreadsheet that nobody trusts
  • 2Risk and compliance reporting is assembled by hand from multiple systems each period
  • 3Your team can't answer ad-hoc data questions without asking an analyst to run a new report

Reporting takes too long

Analysts spend days assembling reports that should refresh automatically from source data.

Data is siloed

Finance, operations, and sales all see a different number because no one has agreed on definitions.

Decisions lag the data

By the time a dashboard is ready, the window to act has already closed.

The evidence · 2025-26

The numbers behind modern BI

You don't have to take our word for it. Here's what analysts and data teams are reporting right now.

Likely ROI in financial services

Most teams cut their BI cost by half and ship dashboards in days, not quarters.

D23 estimate, based on typical financial services data-team workloads: hours saved on Superset ops, faster dashboard delivery, and self-serve analytics that no longer requires a dedicated analyst for every question. Your mileage depends on warehouse size and how many teams need access to data.

Typical BI cost reduction~50%
Dashboard delivery timeDays, not quarters
Uptime SLA99.9%
Real-world proof · 2024

It already works at this scale

Not a demo. A team in the same kind of work, with results they published.

Nielsen logo

Nielsen

Financial Services · analytics

Reported 2024

Nielsen migrated its enterprise BI stack to Apache Superset, reducing per-seat BI licensing costs by more than 60% and enabling its data teams to ship new dashboards in days instead of weeks.

60%+

BI licensing cost reduction

days

to ship a new dashboard

1 platform

replacing multiple BI tools

Nielsen · Reported 2024

The strongest results come from teams with a connected warehouse, defined metrics, and dashboards their stakeholders actually use. That is exactly what D23 delivers.

Your financial services dashboard suite

A set of managed Superset dashboards built for financial services, each connected to your data sources and maintained by your D23 data team.

Goal: live financial services analytics on Superset
T&

Treasury & Liquidity Dashboard

live

Daily cash positions, FX exposure, and liquidity ratios across entities, sourced directly from your TMS or ERP.

Sources
Snowflake
BigQuery
Postgres
MC

Month-End Close Tracker

live

Visualises close-checklist progress in real time so the CFO knows exactly where things stand.

Sources
Redshift
ClickHouse
Databricks
R&

Risk & Compliance Monitor

live

Tracks regulatory limits, flags breaches, and maintains the audit trail every examiner expects.

Sources
MySQL
Trino
DuckDB

What D23 delivers

Treasury and cash-position dashboardsMonth-end close trackingRisk and compliance monitoringSQL Lab for self-serve ad-hoc analysis

How D23 works in financial services

  1. 1

    Connect your warehouse

    We connect to your financial services data sources — Snowflake, BigQuery, Postgres, and 50+ others — in days.

  2. 2

    Model your metrics

    We define and agree on the metrics that matter — like Treasury & Liquidity Dashboard and Month-End Close Tracker — so every team uses the same numbers.

  3. 3

    Ship your dashboards

    We build managed Apache Superset dashboards with row-level security, SSO, and AI text-to-SQL built in.

  4. 4

    Iterate together

    Your D23 data team handles new requests, schema changes, and new data sources on an ongoing basis.

same day

visibility on close status and risk positions

Try D23 for Free

Turn every team into a data team.

Get managed Apache Superset, the dashboards your business needs, and AI on top, without hiring a data team.

Get Started

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For Enterprises

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