From KPI framework design and self-serve analytics to enterprise BI platforms, real-time dashboards, and predictive reporting — Cinovic builds business intelligence systems that give every team the right data, at the right time, in the right format to make confident decisions.
We partner with companies who are tired of spreadsheet chaos, stale reports, and data that no one trusts — and who need a BI partner that delivers clarity, not just charts.
We don't just connect your data to a dashboard tool — we design your entire analytics layer: KPI architecture, data model, semantic layer, dashboard hierarchy, and adoption strategy — so your BI investment actually changes how your organisation makes decisions.
Whether you're replacing spreadsheets with your first BI platform, modernising a legacy reporting environment, or scaling analytics across a global enterprise — we have a proven approach and a dedicated BI engineering team for your project.
We design and build custom BI dashboards tailored to your audience, KPIs, and decision-making workflows — across executive, operational, and analytical use cases — on Power BI, Tableau, Looker, Metabase, and Apache Superset. Every dashboard is built to answer real business questions, not to showcase data.
We design your organisation's KPI framework from the ground up — defining business-level OKRs, departmental KPIs, operational metrics, and leading indicators — and translate them into a governed metric layer that ensures consistent, trustworthy numbers across every dashboard, report, and stakeholder conversation.
We build self-serve analytics environments where non-technical teams can explore data, build their own views, and answer questions independently — without writing SQL or waiting for analyst queues — using governed data models on Looker, Power BI, or Metabase with role-appropriate data access and guided exploration flows.
We embed analytics directly into your product or internal application — using Looker Embedded, Tableau Embedded, Metabase Embedding, or custom chart libraries (Recharts, ECharts, D3.js) — giving your customers or internal users in-context data insights without leaving your platform, and turning analytics into a product feature rather than a separate tool.
We migrate and modernise legacy reporting environments — from static Excel reports, SSRS, Crystal Reports, or outdated BI tools — to modern, interactive, mobile-ready visualisations with automated data refresh, version control, and self-serve capabilities, reducing report maintenance overhead and eliminating the Monday morning report backlog.
We extend your BI platform with predictive analytics models and AI-augmented capabilities — demand forecasting, customer churn prediction, revenue attribution modelling, anomaly detection, and natural language querying — turning your BI system from a rear-view mirror into a forward-looking intelligence platform.
We design and build custom BI dashboards tailored to your audience, KPIs, and decision-making workflows — across executive, operational, and analytical use cases — on Power BI, Tableau, Looker, Metabase, and Apache Superset. Every dashboard is built to answer real business questions, not to showcase data.
We design your organisation's KPI framework from the ground up — defining business-level OKRs, departmental KPIs, operational metrics, and leading indicators — and translate them into a governed metric layer that ensures consistent, trustworthy numbers across every dashboard, report, and stakeholder conversation.
We build self-serve analytics environments where non-technical teams can explore data, build their own views, and answer questions independently — without writing SQL or waiting for analyst queues — using governed data models on Looker, Power BI, or Metabase with role-appropriate data access and guided exploration flows.
We embed analytics directly into your product or internal application — using Looker Embedded, Tableau Embedded, Metabase Embedding, or custom chart libraries (Recharts, ECharts, D3.js) — giving your customers or internal users in-context data insights without leaving your platform, and turning analytics into a product feature rather than a separate tool.
We migrate and modernise legacy reporting environments — from static Excel reports, SSRS, Crystal Reports, or outdated BI tools — to modern, interactive, mobile-ready visualisations with automated data refresh, version control, and self-serve capabilities, reducing report maintenance overhead and eliminating the Monday morning report backlog.
We extend your BI platform with predictive analytics models and AI-augmented capabilities — demand forecasting, customer churn prediction, revenue attribution modelling, anomaly detection, and natural language querying — turning your BI system from a rear-view mirror into a forward-looking intelligence platform.
We don't ship dashboards and disappear. Every BI engagement follows our structured 5-phase delivery framework — from KPI discovery and data modelling through dashboard build, user testing, and adoption enablement — with full documentation and knowledge transfer at every stage.
We design and build custom BI dashboards tailored to your audience, KPIs, and decision-making workflows — across executive, operational, and analytical use cases — on Power BI, Tableau, Looker, Metabase, and Apache Superset. Every dashboard is built to answer real business questions, not to showcase data.
We run structured discovery workshops with your business and data teams to map existing reporting pain points, define the questions BI must answer, audit current data sources and quality, and establish a prioritised KPI roadmap aligned to your business objectives — so every BI decision has a business rationale, not just a technical one.
We design and build the semantic layer that sits between your data warehouse and BI tool — star schema or OBT data models, governed metric definitions, calculated fields, row-level security, and business-friendly naming conventions — ensuring that every number your BI platform produces is consistent, explainable, and trustworthy.
We apply information design principles, cognitive load theory, and user research to build dashboards that communicate clearly — not just display data. From layout hierarchy and colour encoding to interactive drill-throughs, conditional formatting, and mobile responsiveness, every design decision is made to help your audience reach insight faster.
Stay ahead with practical guides on BI strategy, dashboard design, KPI frameworks, self-serve analytics, Power BI vs Tableau comparisons, and real-world BI implementation lessons from our projects.
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Tell us about your current reporting environment, your biggest data challenges, and the decisions you need your BI system to support — and we'll come back to you with a clear BI roadmap, tool recommendation, and honest effort estimate within 48 hours.
Traditional reporting tells you what happened — a fixed set of numbers produced on a schedule. Business intelligence gives your teams the ability to explore data, ask follow-up questions, drill into root causes, and monitor KPIs in real time. Where reporting is static and backwards-looking, BI is interactive, self-serve, and forward-looking. At Cinovic, we build BI systems designed to support decision-making at every level of your organisation — not just produce charts for a monthly board pack.
The right BI tool depends on your data infrastructure, team size, budget, and use case. Power BI is the strongest choice for Microsoft-stack organisations — deep Azure and Office 365 integration, competitive pricing, and a large user community. Tableau excels at complex data visualisation, large enterprise deployments, and Salesforce-connected analytics. Looker is ideal for data-model-first organisations that want a governed semantic layer and strong self-serve capabilities, particularly on BigQuery or Snowflake. We help you evaluate and choose the right tool based on your specific situation — and we implement all three.
Timeline depends on scope and data complexity. A focused dashboard built for a single team with clean data typically takes 3–6 weeks. A full BI platform with a semantic layer, multi-department dashboards, and self-serve analytics runs 8–16 weeks. An enterprise BI modernisation — migrating from legacy tools, re-modelling data, and enabling company-wide adoption — typically takes 3–6 months. We scope each project in the free BI strategy session and provide a phased delivery plan with clear milestones.
We connect BI platforms to virtually any data source — cloud databases (Snowflake, BigQuery, Redshift, PostgreSQL, MySQL), SaaS platforms (Salesforce, HubSpot, Shopify, Stripe, Google Analytics, Meta Ads), data warehouses, REST APIs, flat files, and streaming data. If it has data and an API or connector, we can get it into your BI platform. We handle the ETL/ELT layer, data modelling, and semantic mapping so your BI tool always sees clean, well-structured data.
We build data freshness monitoring, pipeline health alerts, and schema change detection into every BI system we deploy. If an upstream data source changes its structure — a column is renamed, a table is dropped, a field type changes — our observability layer alerts your team before the dashboard silently starts showing wrong numbers. We also implement automated data quality tests and semantic layer versioning so your BI metrics stay accurate through data model changes and business rule updates.