L At Leonstride Technologies, we deliver end-to-end Data Warehousing solutions that help organizations transform raw data into reliable, centralized intelligence. Our focus lies in building scalable, secure, and unified data architectures that ensure consistency, regulatory compliance, and seamless integration across ERP, CRM, cloud, and legacy systems.
Assess existing data landscapes, define governance frameworks, and craft a scalable MDM strategy tailored to your enterprise needs.
Implement naming standards, formatting rules, and automated validations to eliminate duplicates, inconsistencies, and incomplete records.
Design flexible, AI-powered MDM models that adapt to changing business processes and support future data growth.
Standardize master data across systems and enrich it with third-party datasets for more meaningful insights and improved decision-making.
Seamlessly connect ERP, CRM, cloud, and third-party sources using real-time and batch integration pipelines to ensure unified data flow.
Deploy low-code/no-code ETL solutions to automate data extraction, transformation, and loading reducing manual efforts and accelerating deployment.
Use AI/ML-driven algorithms to match and merge data entities while ensuring full compliance with GDPR, HIPAA, and other data privacy laws.
Automate MDM processes such as validations and approvals, while leveraging AI to detect anomalies and generate actionable insights.
Define a robust DWH architecture cloud, hybrid, or on-premise aligned with your scalability, security, and cost-efficiency goals.
Rapidly deploy or migrate your data to leading cloud platforms like AWS Redshift, Snowflake, BigQuery, or Azure Synapse with minimal disruption.
Leverage best-in-class tools (Fivetran, dbt, Talend, Apache NiFi) to implement real-time, event-driven or scheduled ETL workflows for optimized data flow.
Design visually compelling dashboards using Power BI, Tableau, or Looker to transform raw data into predictive, actionable business insights.
Ensure enterprise-grade data protection with encryption, RBAC, and regulatory compliance (GDPR, SOC2, HIPAA) across your data ecosystem.
Build cost-effective, serverless data lakes on AWS, Azure, or Google Cloud that unify structured and unstructured data for AI/ML analytics.
Deliver tailored data solutions for industries like e-commerce, retail, and fintech optimizing analytics across sales, inventory, and customer engagement.
Infuse your data warehouse with AI capabilities including auto-tagging, smart deduplication, anomaly detection, and ML-driven forecasting.
Consolidate financial data securely and ensure compliance with PCI DSS, SOX, and GDPR. Enable real-time risk analysis, fraud detection, and regulatory reporting.
Integrate data across sales channels to optimize inventory, pricing, and customer experience. Enable real-time insights using scalable cloud data warehouses.
Centralize policy, claims, and underwriting data for better decision-making and audit readiness. Ensure IRDAI and ACORD compliance through structured data pipelines.
Build HIPAA-compliant data lakes to unify patient, clinical, and diagnostics data. Empower predictive healthcare insights with secure and scalable infrastructure.
Connect ERP, TMS, and warehouse systems to deliver real-time operational visibility. Use analytics to improve delivery accuracy, inventory levels, and routing.
Aggregate data from LMS, student portals, and exam engines for performance analytics. Enable engagement tracking and adaptive learning insights.
Unify booking, CRM, and property management data for dynamic pricing and personalization. Drive revenue with customer behavior and occupancy trend analysis.
Ingest and process high-volume service and user activity data for better uptime and content delivery. Leverage AI for churn prediction and network analytics.
Streamline production, procurement, and inventory data from systems like SAP and Oracle. Enable performance dashboards and predictive maintenance insights.
Connect telematics, EV data, and fleet systems into a unified analytics platform. Support predictive maintenance and usage-based business models.
Merge data from listings, CRM, and leasing systems for sales and operational insights. Optimize property performance and buyer engagement through analytics.