Business intelligence that turns data into decisions
We build BI dashboards, data warehouses, and ETL pipelines that give decision-makers real-time visibility into the metrics that matter.
✓ routed to a senior engineer
✓ estimate en route
const build = [ // what we build
Business intelligence & analytics services
Executive, operational, and product dashboards with live data — built in React or Metabase.
BigQuery, Redshift, or Snowflake warehouse design and build — schema first, dashboards second.
Extract, transform, and load from any source into your warehouse, on a reliable schedule.
Define, instrument, and visualise the metrics that actually drive your business decisions.
Scheduled reports delivered straight to Slack, email, or Google Sheets — no manual exports.
Connect CRMs, ERPs, ad platforms, and databases into a single source of truth.
// technical depth — not just charts on a page
BI & analytics capabilities
Open-source BI tools deployed and customised for your team, not a generic default install.
A SQL-based transformation layer with version control, so your metrics logic is reviewable code.
Pipeline orchestration with scheduling and monitoring, so a broken source gets caught early.
Great Expectations and dbt tests catch data integrity problems before they reach a dashboard.
Google-native dashboards connected directly to BigQuery for teams already on Google's stack.
Kafka piped into ClickHouse for sub-minute dashboard refresh rates when daily batches aren't enough.
import { stack } from "@dww/bi" // the BI & analytics stack
BI technology stack
function biProcess() { // click a stage to inspect
BI implementation process
We map every existing data source — CRMs, ERPs, spreadsheets, ad platforms — along with quality issues and how your team currently defines each metric, before any schema is designed.
- ✓Data sources mapped end to end
- ✓Quality issues & gaps flagged
- ✓Metric definitions agreed with stakeholders
Star schema, dimension tables, and a slowly changing dimension (SCD) strategy — designed for the reporting questions your team actually asks, not a generic template.
- ✓Star schema & fact tables designed
- ✓Dimension tables & SCD strategy set
- ✓Warehouse platform selected
ETL/ELT pipelines extract, transform, and load data on a schedule, with error alerting so a broken source gets caught before a dashboard goes stale.
- ✓ETL/ELT pipelines built & scheduled
- ✓Error alerting wired to Slack/email
- ✓dbt tests validate every run
Dashboards and visualisations are reviewed with stakeholders in working sessions and iterated until every number on screen is trusted, not just technically correct.
- ✓Dashboards reviewed with stakeholders
- ✓Visualisations iterated to sign-off
- ✓Automated reports scheduled
// selected BI builds — dashboards in production
Systems we've built
End-to-end ERP for a mid-size manufacturer — production scheduling, inventory, procurement, HR, and executive dashboards replacing a 15-year-old legacy system's paper reports.
Full LMS with live sessions, grade tracking, and compliance reporting — serving 50k students across three regions with real-time progress dashboards for administrators.
Multi-branch ERP for a logistics company — fleet management, route optimisation, fuel tracking, billing, and real-time delivery-tracking dashboards for 1,200 daily trips.
// why DWW for BI
Metrics your team actually trusts
Every metric is defined and agreed with stakeholders before a single chart gets built.
dbt tests and Great Expectations validate every pipeline run, not just the first one.
Kafka to ClickHouse streaming gets you sub-minute refresh, not next-morning batch.
Open-source Metabase and Superset, or Looker Studio and Power BI — your call, your data.
Digital Web Weaver builds BI dashboards, data warehouses, and ETL pipelines for teams across India, the UK, the US, and beyond — 150+ clients who needed real-time visibility into the metrics that actually run their business, not a slide deck that's stale by the time it's presented. We work with the tools that fit your stack: Metabase or Superset for self-service analytics, dbt for version-controlled transformation, Airflow for orchestration, and Kafka → ClickHouse when daily batches aren't fast enough. Every engagement starts with a data audit and a free, itemised estimate within 24 hours.
// business-intelligence.faq.md
Metabase for self-service analytics with a business-friendly UI. Superset for more control. Power BI for Microsoft-integrated enterprises.
dbt tests validate row counts, uniqueness, referential integrity, and custom business rules at every pipeline run.
Yes — Salesforce, HubSpot, Pipedrive, and custom CRMs all have API or Fivetran connector support for warehouse ingestion.
Basic dashboard with one data source: 2–3 weeks. Full warehouse with multiple sources and automated reporting: 2–3 months.
// you might also need
Predictive analytics and ML models built on your BI data foundation.
Bespoke ERP, CRM, portals, and workflow automation.
SaaS platforms, portals, dashboards, and enterprise systems.
Infrastructure to run your warehouse, pipelines, and dashboards reliably.
$ ./build --bi-platform
Build your BI platform, end to end
From raw data to executive dashboards — free scoping and a detailed estimate from senior engineers within 24 hours.