Overview
OneData Software’s Data Analytics offerings leverage AWS technologies and custom expertise to help organizations gain insights, optimize operations, and drive informed decision-making: Data Ingestion & Engineering Automate data collection from disparate sources—including IoT, CRM, ERP—using AWS tools like AWS Lake Formation, Glue, and Lambda. Cleanse, normalize, and structure data to build reliable analytics-ready datasets Data Storage & Management Architect scalable, secure data lakes and warehouses on AWS (e.g., S3, Redshift, and Lake Formation) for centralized storage and governed access Implement best practices in data governance, access control, encryption, and compliance monitoring. Analytics & Business Intelligence Build customizable dashboards and reports with Amazon QuickSight and BI integrations. Enable real-time and historical analytics for operational monitoring, KPIs, and trend analysis . Advanced & Predictive Analytics Use Amazon SageMaker and AWS ML tools for predictive modeling—forecasting demand, identifying behavior patterns, and enabling real-time inference Apply predictive analytics to sectors like retail, logistics, finance, energy, and more . Generative AI & Insight Generation Incorporate Gen AI capabilities to generate narrative insights, recommendations, and contextual summaries from data—helping users understand and act on complex information faster. Managed Analytics & Support Maintain data pipelines, perform performance tuning, and ensure 24/7 availability through managed AWS infrastructure services. Provide monitoring, cost-optimization, security assessments, and proactive troubleshooting to ensure reliability and ROI Together, these services enable clients to transform diverse data into actionable intelligence—fueling smarter decisions, operational efficiency, personalized experiences, and competitive differentiation across industries.
Highlights
- Amazon SageMaker and AWS Data Lake
- Dashboards & Reporting
- Business Intelligence
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