Discovery & Audit
We audit your current data sources, reporting processes, key metrics and the decisions each team needs to make faster.
Every business produces data constantly , sales figures, marketing performance, operational metrics, financial results. The problem is not that the data does not exist. The problem is that it lives in disconnected systems, gets compiled manually into reports that take days to produce, and arrives too late to drive the decisions that actually matter today.
We build automated reporting and BI systems that pull data from every source, clean and transform it automatically, and surface it in real-time dashboards that refresh without anyone touching them. Executives see what is happening now, not what happened last quarter. Anomalies are flagged automatically. Trends surface before they become crises.
The result is an organisation that makes decisions faster, with more confidence, and without a finance team spending two weeks building a board pack.
We connect to your existing systems , your CRM, ERP, marketing platforms, financial systems , and build a unified data layer that feeds every dashboard automatically. No manual exports. No spreadsheet consolidation. No waiting.
Reports that build themselves , pulling from every source, transforming data automatically, delivering the right numbers to the right people without any manual work.
Discuss reportingLive dashboards connected to your actual data, with AI anomaly detection and trend analysis that surfaces what matters before your team notices it manually.
Discuss dashboardsWe audit your current data sources, reporting processes, key metrics and the decisions each team needs to make faster.
We connect all your data sources, build a unified data layer and create dashboards and reports tailored to each function and leadership level.
Live deployment with automated refresh, anomaly alerts and continuous optimisation as your data sources and reporting needs evolve.
Connect every data source your business uses , CRM, ERP, marketing platforms, financial systems, spreadsheets, databases and third-party APIs. All data is pulled automatically on a schedule or in real time, cleaned, transformed and unified into a single layer that every dashboard and report draws from.
Reports that build themselves and deliver themselves. Daily, weekly or monthly reports scheduled to compile from live data, formatted to your standards and distributed to the right people automatically. No analyst hours required. No manual exports. No formatting spreadsheets at 11pm before a board meeting.
Executive, operational and departmental dashboards that refresh automatically from live data. Built in Power BI, Looker, Tableau or custom web dashboards , whichever your team will actually use. KPIs, trends, comparisons and drill-downs designed around the decisions each team needs to make.
AI monitors your key metrics continuously and flags unusual patterns before they become problems. Revenue drops, cost spikes, conversion rate changes, inventory anomalies , all surfaced automatically with context and alerts sent to the right people immediately. No waiting for the next weekly review.
AI-powered forecasting models trained on your actual historical data. Revenue forecasts, demand projections, capacity planning , all generated automatically and updated as new data arrives. Trend analysis that identifies which metrics are moving and why, before the impact shows up in results.
Board packs and investor reports generated automatically from your live data, formatted to your templates and ready for review without any manual work. Variance commentary drafted by AI from the numbers. Narrative reports that explain what happened, why it happened and what it means for the next period.
Business intelligence automation replaces manual report production with live dashboards and automated data analysis. Instead of spending hours each week compiling spreadsheets, your leadership team gets real-time visibility into the metrics that matter: revenue, costs, operations, sales pipeline, customer behaviour and more. Decisions are made on current data rather than last month’s report.
We connect virtually any data source: accounting software like Xero and QuickBooks, CRM platforms, ERP systems, e-commerce platforms, point-of-sale systems, marketing platforms, HR systems, custom databases and Google Analytics. All data flows into a central data warehouse and is made available in real-time dashboards and automated reports.
We build and implement BI solutions using Power BI, Tableau, Looker, Metabase and custom-built analytics dashboards for Cayman businesses. Tool selection depends on your existing Microsoft or Google ecosystem, team technical capability, budget and the complexity of the analytics required. We recommend the right tool after understanding your specific reporting needs.
Yes. Automated report distribution is a standard feature. Daily operational reports can be emailed to operations managers at 7am; weekly revenue reports to the finance team on Monday morning; monthly board packs to executives on the first of the month. Reports are always current because they pull live data at the moment of generation, not from a static snapshot.
Yes. We configure threshold alerts that trigger automatically when a metric crosses a defined boundary: revenue dropping below target, inventory falling below reorder point, customer satisfaction score declining, website traffic dropping significantly or a compliance metric approaching a regulatory limit. Alerts are sent via email, SMS or Slack so the right person is notified immediately.
Built-in reports in individual software applications only show data from that application. A BI system combines data across all your systems to answer cross-functional questions: which marketing campaigns produced the most profitable customers, which products are selling best in which locations, how does staff productivity correlate with revenue. These insights require combining data that no single application holds.
Yes. Modern AI can analyse your data, identify trends and anomalies and generate written commentary alongside charts and metrics. Instead of a dashboard full of numbers, decision-makers receive plain-language explanations of what changed, why it matters and what requires attention. This makes data accessible to leaders who are not data specialists.
Data quality is the foundation of useful BI. We implement data validation rules, reconciliation checks and data pipeline monitoring to ensure reports reflect reality. When source data has quality issues, we identify and clean them during the build process and put monitoring in place to catch new issues before they affect decisions. We document all data definitions so everyone interprets metrics consistently.
Yes. Role-based dashboard access is standard. The CEO sees company-wide financials and strategic KPIs. The sales director sees pipeline and team performance. The operations manager sees inventory, logistics and capacity. Finance sees cash flow, receivables and budget variances. Each person sees the data relevant to their responsibilities, presented at the right level of detail.
A focused BI implementation connecting two to four data sources with a set of pre-designed dashboards typically takes four to eight weeks. More comprehensive data warehouse implementations with many source systems, complex data transformation and organisation-wide rollout take three to five months. We deliver in phases so you have working dashboards from week four or five regardless of total project scope.
Yes. AI-powered BI tools increasingly allow users to type questions in plain English and receive charts and answers instantly. Instead of building a report, a manager can ask “What were our top five products by revenue in Q1?” or “Which customers have not ordered in the last 90 days?” and get an immediate, accurate answer. We configure and train these natural language interfaces on your specific data and business terminology.
Yes. We build BI systems for financial services, professional services and other regulated businesses in the Cayman Islands with appropriate data governance, access controls and audit logging. Regulatory reporting requirements , like CIMA filings or AML monitoring metrics , can be built into the BI system so compliance reporting is automated alongside commercial reporting.
A focused BI implementation for a small to medium Cayman business typically ranges from $8,000-$20,000 for initial setup, data connections and dashboard design. Ongoing maintenance and development is usually structured as a monthly retainer. Enterprise-scale data warehousing and analytics platforms for larger Cayman organisations range from $30,000-$100,000 or more depending on scope and complexity.
Yes. Predictive analytics and forecasting models can be built on top of your historical data. Revenue forecasts, demand predictions, customer churn risk scores and cash flow projections can all be generated automatically and updated as new data arrives. This moves your leadership team from reactive reporting to proactive decision-making based on where the business is heading, not just where it has been.
Contact us at aerosoft.ky/quote or call +1 (345) 516-5569. We begin with a data audit to understand your current reporting, data sources and decision-making needs, then propose a BI architecture that addresses your highest-priority questions first. Most initial dashboard deployments can be live within six weeks of agreement.
Book a discovery call and we’ll show you which of your reporting processes can be fully automated , starting this month.
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