Advanced Analytics & BI
Turning data into actionable insight through predictive models and executive dashboards. From KPI design to self-service BI, we align analytics with measurable business outcomes.
What We Deliver
- Data modeling, KPI definition, and visualization strategy
- Predictive analytics for risk, pricing, and demand forecasting
- Self-service BI enablement and data democratization
- End-to-end pipeline automation and governance
- Executive dashboards and operational scorecards
Our Approach
We start by clarifying business goals and translating them into KPIs and analytical questions. We design semantic models, select fit-for-purpose tools, and deliver value iteratively: quick-win dashboards first, then advanced modeling and automation. Governance, lineage, and security (RLS/CLS) are built in from day one.
Tooling & Platforms
BI & Visualization
Power BI, Tableau, Excel (Power Query / Power Pivot), Looker Studio.
Data Platforms
Databricks, Snowflake, Azure Synapse, BigQuery, Amazon Redshift.
Databases (SQL)
SQL Server, PostgreSQL, Oracle, MySQL, MariaDB.
Databases (NoSQL)
MongoDB, Cassandra, DynamoDB, Redis, Elasticsearch.
Pipelines & Modeling
dbt, Apache Airflow, Azure Data Factory, Kafka, Delta Lake, Lakehouse patterns.
Ops & Governance
Git-based CI/CD, testing, lineage, data quality SLAs, cost & performance optimization.
Analytics Scenarios
- Forecasting: demand & inventory, budget vs. actuals, cash-flow risk.
- Pricing & revenue: elasticity, promotions, CLV, churn propensity.
- Operations: SLA adherence, capacity planning, anomaly detection.
- Executive view: board-level KPIs, drill-throughs, and mobile dashboards.