Data Services
From Descriptive to Prescriptive analytics, our Data Services powered by AI and Automation turn raw information into decisive action and measurable impact.
DESCRIPTIVE ANALYSIS
Data Engineering Services
- Aggregate historical data from multiple systems into centralized cloud platforms (AWS, Azure, GCP, Snowflake, Databricks).
- Build automated ETL pipelines to process and clean large datasets for reporting.
- Implement Data Quality & Governance policies to ensure accuracy of past and current datasets.
Analytics & Business Intelligence
- Create executive and operational dashboards in Power BI, Tableau, Looker, or Quick Sight for historical performance tracking.
- Enable self-service analytics for non-technical teams to explore trends and patterns in past data.
DIAGNOSTIC ANALYSIS
Data Engineering Services
- Implement metadata management and lineage tracking to trace data sources and transformations.
- Integrate anomaly detection into pipelines to highlight irregularities in historical performance.
Analytics & Business Intelligence
- Use drill-down analytics in BI tools to identify root causes of deviations in KPIs.
- Deploy statistical models (correlation, regression) in Python/R to uncover cause–effect relationships.
PREDICTIVE ANALYSIS
AI & Machine Learning Services
- Apply predictive modeling for forecasting sales, demand, customer churn, and risk scoring using TensorFlow, SageMaker, Azure ML.
- Integrate time-series forecasting models (Prophet, ARIMA) into BI dashboards for forward-looking insights.
Analytics & Business Intelligence
- Run machine learning–based scenario simulations to project future outcomes.
- Use AutoML platforms to identify high-probability business opportunities or risks.
PRESCRIPTIVE ANALYSIS
AI & Machine Learning Services
- Deploy decision intelligence systems that recommend optimal actions based on predictive outputs.
- Automate next-best-action strategies for marketing, operations, or customer service.
Automation, Programming & Support
- Build automated workflows (Airflow, Azure Logic Apps, UiPath) to operationalize model recommendations.
- Create microservices and APIs that integrate prescriptive analytics into live business processes.
- Implement continuous monitoring (Grafana, Datadog, CloudWatch) to adapt actions in real-time.