Business intelligence (BI) is a suite of IT tools for rapidly collecting, analyzing, and turning large volumes of data into a clear, usable form. A BI system unifies data from multiple sources to build interactive monitoring dashboards and reports that drive better management decisions.
Collecting large volumes of information from multiple sources and structuring it for analysis
Deep analysis, an objective read on your current situation, and custom reporting delivered fast
Tracking analytics across dozens of channels in real time through interactive monitoring dashboards
Moving your company toward a data-driven culture where every employee has access to the data and metrics they need for their work
What We Deliver
A single source of truth for every metric in your business. We design dimensional models and scalable warehouses that consolidate dozens of operational systems into one governed analytics layer.
Automated ingestion from CRMs, ERPs, ad platforms, payment systems, and spreadsheets. Incremental syncs, data-quality checks, and alerting keep every dashboard fed with clean, current data.
Role-based interactive dashboards that executives actually open. Drill-downs, filters, and mobile layouts — designed around the decisions each team makes every day.
Analytics where your users already work. White-label dashboards embedded in your product or client portal, plus self-service exploration so nobody waits in line for an analyst.
Cost-optimized, auto-scaling data platforms defined as code. Monitoring, access control, encryption, and disaster recovery built in from day one — sized to your data volume, not a template.
Models that look forward, not back. Demand forecasting, churn prediction, anomaly detection, and AI-generated insights delivered straight into your reports and alert channels.
Concrete commitments we honour on every single project.
We fix defects for a year after launch
Full code and files handed over — zero lock-in
Revisions within the agreed scope at no extra cost
We sign an NDA — your data stays protected
Post-launch technical support included
Pay per delivered stage — a stage not delivered as agreed is refunded
We build the full data stack — from ingestion to visualization. Every component is chosen based on your data volume, team size, and budget.
Scalable warehouse architecture designed for your data volume and growth trajectory. We centralize all your sources into a single source of truth with proper modeling — so every team works from the same numbers.
Architecture · Modeling · Unified DataAutomated data extraction from CRMs, ERPs, APIs, databases, and spreadsheets. Enterprise-grade connectors for seamless ingestion and automated transformation. Scheduled refreshes with error monitoring and alerting.
Automation · ETL · AnalyticsInteractive dashboards on the platform your team prefers. Role-based views: leadership sees KPIs, marketing sees campaigns, operations sees inventory. Drill-down, filters, and real-time refresh.
Dashboards · Role-Based · Real-TimeMachine learning models for demand forecasting, churn prediction, customer segmentation, and anomaly detection. AI-powered insights delivered via Slack/email alerts when metrics deviate from expected ranges.
ML · Forecasting · AnomalyKill the Friday spreadsheet ritual. Automated daily, weekly, and monthly reports delivered to stakeholders via email, Slack, or Telegram. Exception-based alerts: only notify when something needs attention.
Slack · Email · AlertsConnect every data source your business runs on — CRMs, analytics platforms, ad accounts, payment systems, ERPs, spreadsheets, and custom APIs. A unified customer view across hundreds of integration points.
CRM · ERP · APIs · many sourcesDashboards show profitable and unprofitable lines of business, revenue trends, and return on investment.
Sales-funnel analysis, revenue forecasting, and real-time process optimization.
Campaign performance analysis, ROI by channel, and optimized marketing spend.
Budget planning, cash-flow control, and tracking of cash movement.
Supply management, inventory control, efficiency monitoring, and returns analysis.
Personal dashboards giving every employee access to the metrics that matter to them.
We work with leading platforms, choosing the right solution for your goals and the scale of your business.
A business-analytics service with built-in integrations for Dynamics 365, Salesforce, SQL Azure, Excel, SharePoint, and third-party apps. Its web interface lets you build custom visualizations and reports in just two clicks.
A machine-learning platform that turns large data volumes into practical insights. It connects to Hadoop, NoSQL, and cloud storage, and is built to make data science accessible beyond just analysts.
Honest answers about how we work, what it costs, and what you can expect
You already have the data — in your CRM, NetSuite, Google Analytics, and Excel files. The problem isn't the data; it's that it's scattered and doesn't answer your business questions.
A single data warehouse pulls in data from 10+ sources. Automated processes clean, normalize, and link the information. The CEO opens one dashboard and sees revenue, margin, pipeline, NPS, and the forecast. Not 5 reports from 5 systems — one picture.
Predictive models trained on historical data forecast customer churn (30 days before it happens), product demand (to optimize purchasing), and cash flow (for financial planning). Your business stops reacting and starts anticipating.
A marketer builds a cohort report themselves, no technical skills required. The CFO drills revenue down to a specific order. HR sees the hiring funnel live. Every department gets its own lens on the data — without waiting in line for an analyst.
A BI system turns scattered data into an answer to the one question that matters: “What do we do to earn more?”
Companies with BI make decisions 23% more profitably — because they see the full picture, not fragments.
Instead of filing a request with IT and waiting 3 days, a manager builds the report themselves in seconds. Visual interface, no technical skills needed.
Smart models forecast sales, seasonality, and customer churn. You react BEFORE a problem turns into a loss.
Hover over each metric to see the engineering behind our analytics deployments.
Market leader in multimedia content creation tools — 23 years of experience
Combining an analytics cloud with a BI platform enables deep “engagement” with data across the entire customer lifecycle. Pre-configured templates speed up analysts' work and open the door to global scaling.
London's largest airport — 80M+ passengers a year
Delivers real-time data to 75,000 staff across the airport. Fast response to disruptions: storms, cancelled flights, outages. Internal data is turned into visual reports every employee can understand.
Supermarket chain — 230 stores across 6 US states
BI connects to a local analytics cube holding 20 billion rows of data refreshed live. Store managers analyze sales by region, store, and department in an easy-to-read format.
Your competitors aren't waiting. Tell us about your project and we'll prepare a free estimate in 48 hours.
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12 mo.
warranty on work
Real feedback from the companies we have worked with
4.8
Quality
5.0
Communication
4.5
Timeliness
5.0
Value
Our ops meetings used to argue about numbers from three-day-old spreadsheets. The dashboards ended that argument: everyone opens the same view, refreshed continuously. Warehouse leads get stockout warnings early enough to actually reorder — which used to be the exact thing we were always late on.
Harold Jensen
VP of Operations, Crestline Logistics
Fourteen stores, several ad platforms, an online shop — each reporting in its own format, none agreeing with the others. The warehouse AWDS built is now the referee: margin by channel and by store in one place. I stopped preparing for board meetings the night before; the numbers are simply there.
Deborah Klein
Chief Revenue Officer, Greenfield Retail Group
The churn model surfaces at-risk accounts weeks before our old rules-based alerts did, and retention now works proactively. Docking one star over the first iteration: it over-flagged, and our success team chased healthy accounts for a few weeks until retraining settled it. Since then, steady.
Anton Malek
Head of Analytics, Solaris FinTech
I am not technical, and I check enrollment and revenue on my phone over coffee. For me that justified the whole project.
Margaret Ellis
CEO, Lumen Academy Group
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