Enterprise Intelligence from Every Data Source, in One View

BI dashboards that aggregate data from your CRM, ERP, marketing platforms, and operational systems into comprehensive, drill-down-ready performance analysis.

23x

Data-driven organizations are 23 times more likely to acquire customers

McKinsey, 2020

Business Intelligence Dashboards

Enterprise BI dashboards that aggregate data from multiple sources for comprehensive business performance analysis with drill-down, filtering, and trend exploration.
Close-up view of a sleek digital car dashboard featuring a modern speedometer and tachometer.

What's Included

Everything you get with our Business Intelligence Dashboards

Data Warehouse Architecture

Unified data model design connecting your CRM, ERP, marketing, finance, and operational systems into a single analytical layer

Multi-Layer BI Dashboards

Executive summary, management drill-down, and analyst exploration layers with cross-filtering and ad-hoc query support

Documentation & Training

Data model documentation, dashboard usage guides, and analyst training so your team can explore and extend the BI solution independently

Our Business Intelligence Dashboard Process

1

Discovery & Data Audit

We inventory your data sources, assess data quality, and identify the cross-functional questions your organization needs answered. This audit reveals which data connections will produce the highest-value insights.

2

Data Warehouse Design

We design the data model that brings your disparate sources together: defining relationships, creating calculated fields, and building the transformation logic that turns raw data from multiple systems into a unified analytical layer.

3

Dashboard Development

We build the BI dashboards with appropriate visualization types, drill-down paths, filter controls, and calculated metrics. Each dashboard layer serves a different audience, from executive summary to analyst deep-dive.

4

Validation & Training

We validate every metric against your source systems, train your team on how to explore the dashboards effectively, and document the data model so your analysts can extend and modify it as business needs evolve.

Key Benefits

Multi-source data aggregation

Data from your CRM, ERP, marketing automation, finance systems, and custom databases flows into unified views. You stop seeing siloed departmental metrics and start seeing cross-functional intelligence that reveals how every part of your business connects.

Comprehensive analysis

BI dashboards support drill-down exploration, cross-filtering, trend analysis, cohort comparison, and ad-hoc queries. Your analysts can explore data freely while your executives get summary views that answer strategic questions at a glance.

Executive decision support

Every BI dashboard is designed to support specific strategic decisions: market expansion, resource allocation, product investment, and operational efficiency. The data is organized around the questions your leadership team actually asks.

Research & Evidence

Backed by industry research and proven results

Data-Driven Competitive Advantage

Data-driven organizations are 23 times more likely to acquire customers and 6 times more likely to retain them

McKinsey (2020)

Analytics Consumption Trend

By 2025, data stories will be the most widespread way of consuming analytics

Gartner (2022)

Frequently Asked Questions

What is the difference between a BI dashboard and a regular dashboard?

Regular dashboards typically show metrics from a single source or department. BI dashboards aggregate data from multiple systems, create cross-functional relationships, and support exploratory analysis. They are built on a data warehouse or unified data model that lets you ask questions that span your entire organization.

What platforms do you build BI dashboards on?

We work with Tableau, Power BI, Looker, and Metabase for visualization, paired with data warehouse solutions like BigQuery, Snowflake, Redshift, or PostgreSQL for the data layer. We recommend the stack that fits your existing infrastructure, team capabilities, and budget.

How long does a BI dashboard implementation take?

A BI implementation typically takes 4 to 8 weeks depending on the number of data sources, data quality, and complexity of the analytical requirements. The data warehouse design and integration phase usually takes the most time. We deliver in phases so your team starts seeing value within the first few weeks.

Do we need a data warehouse to have BI dashboards?

For most meaningful BI analysis, yes. A data warehouse provides the unified data model that makes cross-functional analysis possible. However, the complexity of your warehouse depends on your needs. For some organizations, a simple PostgreSQL database with ETL scripts is sufficient. Others need a full cloud data warehouse. We right-size the solution to your requirements.

See the Complete Picture of Your Business

Free consultation. No commitment. Get a custom dashboards strategy in 24 hours.