Which data stack do you use?

Snowflake, BigQuery, or Redshift for the warehouse. dbt for data transformation. Airflow or Prefect for orchestration. Tableau, Metabase, or Looker for BI. We choose based on your scale, budget, and existing tools.

What if our source data is messy?

We expect it — it always is. A data quality audit is always our first step. We'd rather spend two weeks fixing source data than build dashboards on dirty numbers that nobody trusts.

Can you connect to our existing tools?

Yes. Salesforce, HubSpot, Stripe, Shopify, custom APIs, flat files, databases. If it has data, we can pipe it into your warehouse.

What happens when a pipeline fails?

Every pipeline we build has health monitoring and failure alerting baked in. Your team gets notified before you notice stale data in dashboards — not after.

Do you train our team to use the system?

Yes. Self-service capability for your team is a deliverable, not an afterthought. We run training sessions and document everything so your analysts can answer their own questions.

Data Warehousing & Business Intelligence

Data Warehouse Development Company — One Source of Truth, Every Team, Same Numbers.

Big Data & Analytics by Viprasol — delivered by the same senior team that scopes it. No hand-offs, no surprises.

Source data audit includedPipeline health monitoringSelf-service training for your team

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The Short Version

What's included

As a specialist data warehouse development company, we help you unlock the value hidden in your data. From designing and building your warehouse to creating real-time analytics dashboards, we transform raw data into actionable insights that give every team in your business the same reliable numbers.

Data Warehousing

Business Intelligence

Real-time Analytics

Data Visualization

How we work

No surprises. No handoffs.

Every step below is something we've learned from projects that went wrong. Here's exactly what working together looks like.

What Decision Are You Trying to Make?

Every data project should trace back to a specific decision someone needs to make faster or more accurately. If we can't answer that question clearly, the dashboard will look great in the demo and collect dust within 3 months. I've seen it happen. We start here.

Deliverables

Decision mapping session
Key metrics definition
Source system inventory
Data quality first look

Fix the Source Data First

Before any analytics layer: clean up the source data issues. They are always worse than expected — duplicate records, inconsistent field definitions, systems that use different IDs for the same entity. Dashboards built on dirty data are worse than no dashboard at all.

Deliverables

Data quality audit
Deduplication plan
Field standardisation
Source system fixes

Pipelines Before Pretty Dashboards

Reliable, scheduled, monitored data ingestion before a single visualisation is built. Pipelines fail silently — if you don't have alerting for failed runs, your dashboard will show stale data and nobody will know. Every pipeline I build has a health check.

Deliverables

ETL pipelines
Pipeline health monitoring
Failure alerting
Incremental load design

One Source of Truth

A single warehouse with agreed-upon metric definitions. No more "marketing says 1,000 users, product says 800" — because those two numbers were calculated differently. Getting alignment on definitions is harder than writing the SQL. But it's the only thing that makes the data useful.

Deliverables

Data warehouse deployment
Metrics dictionary
Role-based access
Historical data load

Train Your Team, Then Step Back

I build your dashboards and then train your team to build their own. The goal is for you to answer your own data questions without raising a ticket. Self-service analytics that actually gets used is the benchmark — not the most sophisticated visualisation I can produce.

Deliverables

BI dashboards
Self-service layer
Team training session
Documentation

What we build

Built-in from day one

Every engagement includes these as standard — not as add-ons.

Data Warehousing

Scalable warehouses on Snowflake, BigQuery, or Redshift.

ETL Pipelines

Automated data extraction, transformation, and loading.

BI Dashboards

Interactive dashboards with Tableau, Power BI, or Looker.

Predictive Analytics

ML models for forecasting and predictions.

Real-time Processing

Stream processing for real-time analytics.

Data Governance

Data quality, lineage, and compliance.

Common questions

Things people usually ask

If your question isn't here, just ask us directly — we respond within 24 hours.

Initial setup with the first pipelines running: 4–6 weeks. Full implementation with BI dashboards and team training: 8–14 weeks. We prioritise getting something useful to your team early rather than a big-bang delivery.

Still have a question?

Send it directly — we read every message and respond within 24 hours, no auto-replies.

Ask us

Who we are

Available for new projects

Built to do top work. Not to scale for scale's sake.

Viprasol is a specialist technology team with deep roots in trading software, AI systems, and custom product development. We've built algo bots running on live accounts, AI pipelines processing real data, and web platforms handling real traffic — all delivered under our own name, with our reputation behind every line of code.

Most agencies grow by hiring more people. We grew by building smarter delivery systems — AI-powered workflows that let a lean team move with the speed and output of a much larger one. Faster turnaround, fewer errors, a senior expert on every project from first call to final handover.

We're selective about what we take on. Not to be exclusive — because doing fewer things properly is the only way to protect the quality we're known for.

100+Projects shipped

3+Years of specialist builds

0Junior handoffs — ever

Specialists, not generalists

Trading, fintech, AI, and custom tech. We go deep on what we know rather than wide on everything.

Senior on every project

The person you speak to is the person who builds it. No hand-offs, no juniors assigned to save margin.

AI-powered delivery

Our internal AI systems let a lean team move with the speed and quality of a much larger one.

Start a conversation See our work

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Ready to Unlock Your Data's Potential?

Let's build a data platform that turns information into competitive advantage.

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No commitment requiredResponse within 24 hoursYou talk to the person who builds it