Skip to main content
Business Intelligence

Business Intelligence & Analytics

Build data-driven organizations with comprehensive analytics platforms that democratize insights

Business intelligence transforms raw data into actionable insights that drive better decisions across your organization. We design and build modern BI platforms that integrate data from multiple sources, provide self-service analytics, and deliver insights through intuitive dashboards—empowering every team to make data-driven decisions.

Common Challenges

Data Silos

Critical data trapped in disconnected systems preventing holistic analysis

Inconsistent Metrics

Different departments calculating metrics differently, leading to conflicting reports

Limited Self-Service

Reliance on IT or analysts for every report, creating bottlenecks and delays

Poor Data Quality

Inaccurate or incomplete data undermining confidence in analytics

Our BI Implementation Process

1

Requirements & Metrics

Define KPIs, identify data sources, establish business rules and calculations

2

Data Architecture

Design data warehouse, build ETL pipelines, implement data quality controls

3

Visualization & Reports

Create dashboards, build self-service tools, train users

4

Adoption & Iteration

Drive usage, gather feedback, continuously improve and expand capabilities

Key Capabilities

Data Warehousing

Centralize data from multiple sources with modern cloud data warehouses (Snowflake, Redshift, BigQuery)

ETL/ELT Pipelines

Automate data integration with scheduled pipelines, incremental loads, and data quality checks

Self-Service Analytics

Empower business users with intuitive tools to explore data, create reports, and answer questions

Advanced Analytics

Go beyond reporting with predictive models, what-if analysis, and statistical methods

Technologies We Use

Cloud data warehouses (Snowflake, Redshift, BigQuery)
Visualization tools (Tableau, Power BI, Looker, Metabase)
ETL/ELT platforms (Fivetran, dbt, Airflow, AWS Glue)
Data modeling (Kimball, Data Vault)
Semantic layers (dbt Metrics, Cube.js)
Reverse ETL (Census, Hightouch)

Expected Outcomes

60-80% reduction in time to access insights
50-70% decrease in ad-hoc reporting requests
Data-driven decisions across all departments
ROI from improved decision-making and efficiency

Case Study

EXAMPLE CASE STUDY - NEEDS REAL DATA
EXAMPLE: Manufacturing Company BI Platform

Challenge

Excel-based reporting taking 40+ hours monthly, inconsistent metrics across facilities

Solution

Built modern BI platform with automated ETL and self-service dashboards

Results

  • Reporting time reduced from 40 hours to 2 hours monthly
  • All 8 facilities now using consistent metrics
  • Identified $1.5M in operational savings opportunities
  • Executive team making real-time decisions

Ready to Get Started with Business Intelligence?

Let's discuss how we can help you achieve your transformation goals