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Aggregate data from multiple sources into Tableau, Power BI, Looker, and other BI platforms. We build the data pipelines and integrations that turn fragmented information into comprehensive analytics, real-time dashboards, and data-driven decisions.
Get BI Integration AssessmentEvery business generates massive amounts of data. Few can actually use it. The gap between data collection and data-driven decisions is usually an integration problem—data exists, but it's not connected, cleaned, or accessible.
say data-driven decisions are important, but only 34% trust their organization's data and analytics. Integration builds the foundation for trustworthy insights.
Critical business data trapped in dozens of systems—CRM, ERP, marketing, support, finance. No single source of truth for decision-making.
Analysts spend weeks pulling data from different systems, cleaning it, and building reports. By the time reports are ready, the data is stale.
Sales calculates revenue one way, finance another. Different teams use different definitions, leading to meetings about data instead of decisions.
Executives can't get a real-time view of business performance. Strategic questions require ad-hoc data requests that take days to fulfill.
We don't just connect systems—we build proper data infrastructure. That means data warehouses that scale, ETL pipelines that are reliable, semantic layers that make sense to business users, and BI dashboards that actually get used because they're fast and trustworthy.
See Our MethodologyWe create a single source of truth where data from all sources is cleaned, transformed, and aligned. Consistent definitions, consistent metrics.
Data flows continuously from source systems to your BI platform. Dashboards reflect current reality, not yesterday's snapshot.
Business users explore data without waiting for IT. Proper data modeling means anyone can answer their own questions.
Complete data integration from source systems through to executive dashboards.
Implement Snowflake, BigQuery, Redshift, or Azure Synapse as your central data repository. Proper schema design for analytics workloads.
Build reliable data pipelines using Fivetran, Airbyte, dbt, or custom solutions. Extract from any source, transform to analytics-ready format.
Connect CRM, ERP, marketing, support, and operational systems. Salesforce, HubSpot, NetSuite, Zendesk, and hundreds more.
Deploy and configure Tableau, Power BI, Looker, or Metabase. Build dashboards, reports, and self-service analytics capabilities.
Define business metrics once, use everywhere. Consistent calculations across all reports and users via dbt metrics or BI semantic models.
Scheduled report delivery, alerts on metric thresholds, and automated data quality monitoring. Insights delivered proactively.
Deep expertise across the modern data stack from extraction to visualization.
Tableau
Power BI
Looker
Metabase
Qlik
Sisense
Snowflake
BigQuery
Redshift
Azure Synapse
Databricks
Fivetran
Airbyte
dbt
Salesforce
HubSpot
NetSuite
Stripe
Google AnalyticsA structured approach that delivers analytics capabilities iteratively.
Inventory data sources, understand current reporting processes, and define analytics requirements. Identify quick wins and long-term goals.
Design data warehouse schema, pipeline architecture, and semantic layer. Select tools and define data governance standards.
Deploy data warehouse, configure ETL tools, and establish CI/CD for data pipelines. Set up development and production environments.
Build extraction connectors, transformation logic, and data models. Implement data quality checks and monitoring.
Deploy BI platform, build dashboards and reports, configure user access and row-level security. Train business users.
Performance tuning, documentation, and knowledge transfer. Establish ongoing monitoring and support processes.
Measurable improvements in data accessibility and decision-making speed.
Automated pipelines
Connected & unified
Live business data
Self-service adoption
No more arguing about which spreadsheet has the right numbers. One data warehouse, one definition of each metric, one answer to every question.
Meetings focus on decisions, not data reconciliation.
Dashboards that show today's performance, not last month's. Leadership sees current reality and can act before problems become crises.
From reactive reporting to proactive management.
Business users answer their own questions without waiting for IT or analysts. Proper data modeling makes exploration safe and intuitive.
Data team focuses on strategy, not ad-hoc requests.
Add new data sources as your business grows. The architecture handles more data, more users, and more complex analyses.
Analytics grows with your business instead of becoming a bottleneck.
Building a data platform isn't just connecting systems—it's designing for performance, accuracy, and usability. Poor data modeling leads to slow queries. Missing data governance leads to incorrect reports. Complex tools without proper training lead to expensive shelfware.
We've built data platforms for companies from startup to enterprise scale. We know how to design schemas that perform, write transformations that are maintainable, and build dashboards that people actually use. Let us build the data foundation that turns your information into competitive advantage.
Build your data platform
Common questions about building data platforms and analytics capabilities.
It depends on your ecosystem and users. Power BI integrates best with Microsoft environments. Tableau excels at visualization for analysts. Looker is ideal for data-driven companies wanting governed self-service. Metabase is great for smaller teams needing simple, fast dashboards. We help you choose based on your specific needs.
A basic implementation with core dashboards can be live in 6-8 weeks. Comprehensive data platforms with multiple sources and complex requirements typically take 3-6 months. We deliver iteratively so you see value early and continuously.
Data quality is built into our approach. We implement validation checks in pipelines, define data ownership, document lineage, and establish governance processes. Clean, trusted data is the foundation—without it, analytics is useless.
Yes. Modern ETL tools like Fivetran and Airbyte support hundreds of connectors out of the box. For custom or legacy systems, we build custom extractors. If your data is accessible, we can integrate it.
Data platforms require ongoing care—new data sources, changing requirements, and performance optimization. We offer managed services that include monitoring, maintenance, and continued development to keep your analytics platform healthy.
We implement row-level security, column masking, and role-based access controls in both the data warehouse and BI layer. Proper data classification and access policies ensure sensitive data is protected while still enabling analytics.
It depends on your ecosystem and users. Power BI integrates best with Microsoft environments. Tableau excels at visualization for analysts. Looker is ideal for data-driven companies wanting governed self-service. Metabase is great for smaller teams needing simple, fast dashboards. We help you choose based on your specific needs.
A basic implementation with core dashboards can be live in 6-8 weeks. Comprehensive data platforms with multiple sources and complex requirements typically take 3-6 months. We deliver iteratively so you see value early and continuously.
Data quality is built into our approach. We implement validation checks in pipelines, define data ownership, document lineage, and establish governance processes. Clean, trusted data is the foundation—without it, analytics is useless.
Yes. Modern ETL tools like Fivetran and Airbyte support hundreds of connectors out of the box. For custom or legacy systems, we build custom extractors. If your data is accessible, we can integrate it.
Data platforms require ongoing care—new data sources, changing requirements, and performance optimization. We offer managed services that include monitoring, maintenance, and continued development to keep your analytics platform healthy.
We implement row-level security, column masking, and role-based access controls in both the data warehouse and BI layer. Proper data classification and access policies ensure sensitive data is protected while still enabling analytics.
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Book a free BI integration assessment. We'll audit your current data landscape, understand your analytics needs, and design a roadmap for turning your data into actionable insights.