Make data-driven decisions with confidence. We build powerful analytics solutions that turn raw data into meaningful insights, dashboards, and predictive models that drive growth.
Analytics solutions for data-driven organizations
Executives needing real-time visibility into KPIs and performance metrics for strategic decisions
Analysts requiring self-service BI tools and data infrastructure to answer business questions quickly
Operational teams tracking performance, identifying bottlenecks, and optimizing processes
End-to-end data analytics capabilities
Analytics expertise across sectors
Modern analytics tools and platforms
From data chaos to clear insights
Understand business questions, KPIs, data sources, and stakeholder needs through workshops.
Audit existing data sources, assess data quality, identify gaps, and plan data integration strategy.
Build data warehouse, establish ETL pipelines, implement data governance, and ensure data quality.
Create dashboards, reports, and analytics models aligned with business objectives.
Train stakeholders on BI tools, self-service analytics, and data-driven decision-making practices.
Monitor usage, gather feedback, optimize performance, and expand analytics capabilities.
A delivered HR analytics project plus illustrative planning examples
Delivered project · Confidential enterprise client
A large organisation relied on spreadsheets for payroll, attendance, and leave data with no unified reporting view.
Built a React.js employee management system with MySQL, role-based access, and dashboards for HR operations and reporting.
Illustrative example · Sample multi-store retail chain
Hypothetical scenario for planning purposes - not a delivered client engagement.
Sales and inventory data sit in separate systems, making it hard to spot stockouts or trends across stores.
Example approach: central data warehouse with ETL pipelines and BI dashboards for sales, inventory, and customer metrics.
Illustrative example · Sample e-commerce business
Hypothetical scenario for planning purposes - not a delivered client engagement.
Marketing spend is hard to tie to conversions because event data is incomplete and siloed.
Example approach: event tracking plan, customer-360 dataset, and funnel dashboards connected to ad platforms.
Everything you need to know about data analytics
Business Intelligence (BI) focuses on descriptive analytics-what happened in the past through reports and dashboards. Data Analytics includes BI but also encompasses diagnostic analytics (why it happened), predictive analytics (what will happen), and prescriptive analytics (what should we do). BI answers "how many sales last quarter?" while advanced analytics answers "which customers will churn next month and how do we retain them?"
Timeline varies by scope. A basic BI dashboard connecting to existing databases takes 3-6 weeks. A comprehensive data warehouse with ETL pipelines and multiple dashboards takes 2-4 months. Enterprise-wide analytics platforms with data governance take 6-12 months. We typically start with high-value use cases to demonstrate ROI quickly, then expand systematically.
Costs depend on complexity and data volume. Basic BI dashboards start from LKR 600,000, data warehouse solutions from LKR 2,000,000, and enterprise analytics platforms from LKR 5,000,000. Ongoing costs include cloud infrastructure (LKR 50,000-300,000/month), BI tool licenses, and maintenance. We optimize costs using open-source tools where appropriate and right-sizing cloud resources.
Absolutely. We connect to virtually any data source: SQL databases, cloud data warehouses, Excel files, APIs, SaaS platforms (Salesforce, HubSpot, Shopify), Google Analytics, social media, and more. We handle data quality issues, transform data to useful formats, and combine multiple sources into unified analytics. If you have data, we can make it useful.
It depends on your situation. Direct querying works for simple use cases with one or two data sources. However, data warehouses provide significant benefits: combine multiple sources, historical tracking, better performance, data quality assurance, and enable self-service analytics. For businesses with growth ambitions and multiple data sources, a data warehouse becomes essential within 1-2 years. We help assess the right approach for your stage.
Security is paramount in analytics. We implement role-based access controls ensuring users see only authorized data, encrypt data at rest and in transit, maintain audit logs of all access, anonymize PII where required, and ensure compliance with regulations (GDPR, HIPAA). We follow security best practices including least-privilege access, regular security audits, and secure credential management. Your data security is never compromised.
Let's build analytics solutions that drive measurable business outcomes