Data Analytics

Real-time insights. Clear reporting. Smarter decisions.
Dashboards, intelligence tools, and AI interfaces give your teams fast answers to the questions that drive compliance, growth, and oversight.
Data Engineering

Trusted by banks modernizing with clarity and confidence

Analytics is the faucet- it delivers data where teams need it

Infrastructure moves the data.
Engineering cleans it.
Analytics is the faucet that turns clean data into real-world insight.

Every team in your bank depends on seeing the same consistent numbers:

  • Risk + compliance
  • Operations
  • Lending
  • Deposit teams
  • Executive leadership
  • Board reporting
  • Fintech oversight

We build the dashboards, semantic layers, and Snowflake Intelligence features that make that possible, all from one unified source of truth.

Decision-ready analytics built for bank teams

Data only helps when your teams can actually use it. Dashboards and AI-powered tools turn clean data into faster decisions, clearer visibility, and less manual work.

3
X

better decisions in organizations that are highly data-driven

~
98
%

productivity lift when teams rely on analytics instead of manual reporting

Up to
5
X

faster insights when data is centralized and governed in one place

01
Dashboards built for banking workflows
02
Snowflake Intelligence for questions dashboards can’t answer
03
Faster reporting with a unified semantic layer
04
Analytics that reduce workload, not add to it

Dashboards built for banking workflows

Every dashboard we build is designed around how banks actually operate:

  • Deposit fluctuations
  • Lending performance
  • Customer 360
  • Fintech program monitoring
  • Executive scorecards
  • Board reporting
  • Branch performance
  • Risk and anomaly views

No reinventing the wheel, we start from proven templates used across many institutions and tailor them to your goals.

Snowflake Intelligence for questions dashboards can’t answer

Dashboards handle the questions you plan for. Snowflake Intelligence handles the ones you don’t.

  • Ask plain-language questions in Snowflake and get query-backed answers
  • Search across documents, call transcripts, and notes to surface key details
  • Combine structured and unstructured data for deeper investigations and reviews

All of this runs inside your governed Snowflake environment, so sensitive banking data never has to leave your control.

Faster reporting with a unified semantic layer

We build your bank’s semantic layer- the definitions that ensure every dashboard, report, and AI assistant returns the same answer every time.

This means:

  • No more mismatched reports
  • No more competing definitions
  • No more “which number is correct?”
  • Faster time from question → answer
  • Easier audit and exam defensibility

Analytics that reduce workload, not add to it

Your teams save hours each week:

  • Automated board reporting
  • No spreadsheet cleanup
  • No manual reconciliation
  • No dependency on IT for ad-hoc queries
  • No late-night prep before an exam or committee meeting

Analytics is only useful when it reduces friction, not when it creates another tool to manage.

What analytics unlocks for your bank

When data is clean and unified, analytics becomes a competitive advantage:
  • One version of the truth across every team
  • Real-time visibility into deposits, loans, risk, and fintech behavior
  • Faster, cleaner reporting for regulators and the board
  • Searchable documents using AI
  • Reduced investigation time for operations and compliance
  • Better customer insights through C360
  • Instant follow-up answers using Snowflake Cortex Analyst
  • Consistent KPIs for executives, branches, and partner programs
  • Fewer errors and surprises thanks to unified logic

This is how modern banks make decisions.

Case Study

CCBank - Engineering That Powers Compliance

Read full case study
Before
Multiple fintech partners
Inconsistent transaction formats
No unified AML schema
Manual oversight and exceptions
High risk of data-mismatch findings
After
Clean, unified AML data model
Automated mapping into Oscilar
Near real-time partner monitoring
Clear lineage and defensibility
Data teams freed from manual reconciliation
This is data engineering done right — built for compliance, auditability, and growth.

Use Cases

A unified data foundation that centralizes financial data, integrates core systems, enables real-time pipelines, supports compliance, and scales effortlessly for new fintech partners.

Executive & Board Reporting

Automated board packages and real-time executive dashboards.

Deposit & Lending Dashboards

Monitor balances, growth, risk, and performance across products and branches.

Customer 360

Combine every relationship touchpoint into a single, unified view.

Fintech Program Monitoring

Real-time visibility into transaction volumes, merchants, charge-offs, risk behavior, and program health.

Risk & AML Insights

Support monitoring tools with clean data; identify anomalies early.

AI-Powered Insights with Snowflake Cortex

Ask live questions, summarize documents, or extract data using built-in AI — without leaving Snowflake.
Give your teams the visibility they need to make decisions confidently.

Data Analytics

Block Hour Price

$165/hour = $6600.00
(no monthly rollover)
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