Make the most out of your data using our contemporary Data Engineering & Analytics Solutions We enable firms to unite, simplify, and transform their data with next-generation cloud-based platforms to convert raw data to business intelligence, operational optimisation, and quantitative growth.
We combine and purify cloud, on-premises, API, IoT, ERP and other data into a single, consistent, and analytics-ready source of truth, whether it resides in Microsoft OneLake, AWS S3, Azure Data Lake Gen2, or Google Cloud Storage.
Scalable Data Pipelines and Architecture
Our ETL/ELT pipelines are powerful and scalable and based on the most advanced platforms:
Microsoft & Azure Stack
Microsoft Fabric
Azure Data Factory (ADF)
OneLake & Lakehouse
Azure Synapse Analytics
Azure Data Lake Gen2
Power BI (for analytics integration)
Amazon AWS Stack
AWS Glue
AWS Redshift
Amazon S3 + Lake Formation
AWS Lambda
Amazon Kinesis
Google Cloud Stack
BigQuery
Cloud Dataflow
Cloud Composer (Apache Airflow)
Cloud Storage & Dataproc
Looker Studio
Open & Cross-Platform Tools
Databricks (Lakehouse, Delta Lake, Unity Catalogue)
Snowflake
Apache Spark, Kafka
Airflow, Prefect
dbt (Data Build Tool)
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📊 Advanced Analytics & AI-Driven Insights
Descriptive Analytics
Display KPIs and performance with Power BI, Tableau, or Looker dashboards that make your business metrics live and interactive.
Predictive Analytics
Use machine learning and AI models in Python, R, TensorFlow, PyTorch, or Azure ML to predict outcomes and identify business trends.
Prescriptive Analytics
Optimize decisions around pricing, inventory, and operations with smart analytics that recommend the best possible action.
🔩 The 4-Phase Delivery Framework
1
Evaluation / Strategic Planning
We assess your data maturity, set KPIs, and construct a roadmap that aligns your strategy with business goals.
2
Architecture & Pipeline Engineering
We build cloud-native data stacks with governance, security, and real-time scalability at the core.
3
Intelligence & Analytics Enablement
Empowering your teams through machine learning, BI tools, and interactive dashboards for real insights.
4
Continued Maintenance & Model Evolution
We maintain and optimize your data ecosystem over time as your business scales.