Your team spends Monday mornings compiling last week is data into spreadsheets. Your executives ask for numbers that take 3 days to find. We build automated reporting pipelines that pull data from all your systems, generate insights, and deliver dashboards to the right people at the right time.
Every Monday, your team compiles reports from 5 different systems. By Wednesday, the data is stale. By Friday, no one remembers why the numbers mattered. When the CEO asks for a custom analysis, it takes 3 days and 4 people. Your business runs on gut feeling because getting real data is too hard. Decisions are made on outdated, incomplete, or incorrect information.
Average weekly time spent on manual report compilation per manager. That is 20% of their workweek on data assembly, not analysis.
Average time to produce a custom report when requested by leadership. By the time it is delivered, the question has changed.
Of executives say they do not trust their own data. Reports are inconsistent, outdated, or based on incomplete sources.
Average number of systems a report pulls from. Each requires manual export, transformation, and consolidation. Error-prone and slow.
Your week starts with 4 hours of data export, copy-paste, and pivot table creation. By the time the report is done, your Monday is gone and the data is already 3 days old.
There are 5 versions of the sales report circulating. v3_final_FINAL.xlsx is not the same as v3_final_updated.xlsx. No one knows which numbers are correct.
Your BI tool is a PowerPoint from last quarter. Real-time dashboards exist in theory but not in practice. Your KPIs are a monthly retrospective, not a daily compass.
The analytics team has a 2-week backlog of report requests. Business users give up waiting and make decisions without data. Or worse, they make up their own numbers.
We catalog every data source, report, and dashboard in your organization. We identify who uses what, how often, and what decisions they drive. Deliverable: Data inventory + report taxonomy + user needs matrix.
We design the data pipelines, transformation logic, and storage layer. We choose the right tools: ETL, data warehouse, or direct API connections. Deliverable: Pipeline architecture + data model + tool selection + governance plan.
We build the dashboards, reports, and alerts. Real-time where possible, scheduled where appropriate. Mobile-friendly, executive-friendly, and operations-friendly. Deliverable: Live dashboards + automated reports + alert rules + mobile access.
We add new data sources, refine metrics based on usage, and expand to new departments. The reporting platform grows with your business. Deliverable: Monthly metric reviews + new dashboards + user training + data governance.
PostgreSQL, Snowflake, BigQuery, Redshift, Supabase — central storage for unified analytics with query performance optimized for reporting.
n8n, Make, Airbyte, custom Python pipelines — extract, transform, and load data from CRM, ERP, marketing, and operations systems.
Metabase, Superset, Grafana, custom React dashboards, or embedded analytics. Chosen based on user technical skill and visualization complexity.
Slack, email, SMS, WhatsApp alerts for threshold breaches, anomalies, and scheduled report delivery. Route to the right person based on metric and severity.
Data refreshes in minutes, not days. Your morning dashboard shows yesterday is performance, not last week is. Decisions are made on current information.
Reports generate automatically and are delivered to inboxes, Slack channels, or mobile apps. Your team stops being report compilers and starts being analysts.
One metric definition, one data source, one dashboard. No more reconciling 3 versions of the same report. Everyone works from the same numbers.
Know about problems before they become crises. Revenue drops, conversion falls, costs spike — you get alerted instantly, not at the monthly review.
Business users can explore data, create custom views, and answer their own questions without waiting for the analytics team. Democratized data access.
What took 3 days to analyze now takes 3 minutes. Your business moves at the speed of insight, not the speed of report compilation.
Every system we build includes role-based access control, audit logging, data encryption at rest and in transit, and compliance with GDPR, SOC 2, and ISO 27001 standards. Your data never trains third-party models. You own the source code, the data, and the deployment.
Your data stays in your infrastructure. No third-party model training. Full data residency control.
Complete audit trails for every automation, decision, and data access. SOC 2 and ISO 27001 aligned.
Role-based access control, SSO integration, and multi-tenant isolation for enterprise environments.
You own 100% of the source code, configurations, and intellectual property. No vendor lock-in.
Logistics company with 4 disconnected systems (CRM, ERP, GPS tracking, accounting). Weekly reporting took 18 hours, involved 3 people, and was always 3 days behind. No real-time visibility into fleet performance.
Automated data pipeline connecting all 4 systems to a unified dashboard. Real-time fleet tracking, revenue per route, cost per delivery, and driver performance. Automated daily and weekly reports.
Single-source dashboards take 2-3 weeks. Multi-source pipelines with data transformation take 4-8 weeks. Enterprise-wide analytics platforms with multiple departments and custom metrics take 8-16 weeks.
Virtually any system with an API or data export: Salesforce, HubSpot, Zoho, SAP, NetSuite, Google Analytics, Facebook Ads, Google Ads, SQL databases, CSV files, Excel, cloud storage, and custom applications. If it has data, we can connect it.
We implement data validation, deduplication, and cleansing in the pipeline. Bad data is flagged, quarantined, and reported before it reaches dashboards. We also work with you to improve source data quality at the point of entry.
Absolutely. We specialize in defining and calculating business-specific metrics that are not available out-of-the-box. Customer acquisition cost blended across channels, lifetime value by cohort, operational efficiency ratios — we build what you need to measure.
We choose based on your needs: Metabase and Superset for open-source, cost-effective solutions. Grafana for operations monitoring. Custom React dashboards for branded, embedded analytics. Looker and Tableau for enterprise requirements. We do not force-fit tools.
Single-source dashboards start at $5K-$10K. Multi-source pipelines with data transformation range from $15K-$40K. Enterprise analytics platforms with custom metrics and multiple departments range from $40K-$100K+. Ongoing maintenance and expansion packages are available.
48-hour data audit. We will catalog your data sources, measure your reporting overhead, and show you exactly what real-time analytics looks like for your business.
Build Your Dashboards →