Data Analytics & BI

Transform raw data into strategic intelligence at enterprise scale.

Data is your most strategic asset but only when it flows reliably, governed effectively, and visualised meaningfully. Data Containers’ Data Analytics practice provides an end-to-end capability from data strategy and architecture through pipeline engineering, warehousing, semantic modelling, and interactive BI serving decision-makers across every level of the enterprise.

We specialise in modern data stack implementations, real-time analytics platforms, embedded analytics in products, and AI-augmented BI bringing together data engineering, data science, and business intelligence in a unified practice.

DATA ANALYTICS OFFERINGS

Data Strategy & Advisory

Data maturity assessment, data strategy workshops, target architecture definition, data mesh vs. data warehouse evaluation, and data monetisation opportunity mapping.

Data Warehousing & Lakehouse

Implement Snowflake, Databricks, BigQuery, Azure Synapse, and Redshift solutions with semantic layers, data modelling, and performance optimisation for analytical workloads.

Business Intelligence & Dashboards

Design and deliver executive dashboards, operational reports, and self-service analytics using Power BI, Tableau, Looker, and Qlik with role-based access and embedded analytics capabilities.

Enterprise Performance Management (EPM)

Financial planning, budgeting, forecasting, and consolidation using Anaplan, Cognos, SAP BPC, and Oracle EPM aligned to finance transformation objectives.

Data Engineering & Pipelines

Design and build scalable ELT/ETL pipelines, real-time data streaming (Kafka, Spark Streaming), data lakehouse architectures, and orchestration with Airflow and dbt.

Data Quality & Governance

Implement data catalogues (Alation, Collibra, Apache Atlas), data lineage, quality rules, master data management, and GDPR/DPDP/CCPA compliance frameworks.

Real-Time Analytics

Event-driven analytics architectures using Kafka, Apache Flink, Spark Streaming, and AWS Kinesis for fraud detection, IoT monitoring, trading systems, and operational intelligence.

Advanced Analytics & Data Science

Statistical modelling, simulation, cohort analysis, customer segmentation, lifetime value modelling, and A/B testing platforms to generate deeper business insight.