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Celestial unifies data from disparate sources, applies AI/ML models for predictive insights, and delivers interactive dashboards that empower data-driven decision-making in 8 weeks.
Celestial Systems transforms data into actionable insights with Azure Synapse, Machine Learning, and Power BI in 8 weeks
Enterprises struggle with data challenges:
• Data siloed across multiple systems and platforms
• Lack of real-time insights for decision-making
• Manual reporting processes consuming significant time
• Inability to leverage predictive analytics
• Poor data quality and governance
• High costs of legacy data warehousing solutions
---OUR SOLUTION---
Celestial delivers a modern analytics platform using Azure Synapse Analytics, Azure Machine Learning, and Power BI. Our 8-week implementation unifies data from disparate sources, applies AI/ML models for predictive insights, and delivers interactive dashboards that empower data-driven decision-making across the organization.
WHAT MAKES THIS DIFFERENT: • End-to-End Platform: From data ingestion to visualization • AI-Powered Insights: Predictive and prescriptive analytics built-in • Scalable Architecture: Handles data at any scale • Cost-Optimized: Pay only for what you use
---ENGAGEMENT STRUCTURE---
WEEK 1-2: DISCOVERY & ARCHITECTURE DESIGN • Assess current data landscape and sources • Define key business metrics and KPIs • Identify analytics use cases and requirements • Design Azure Synapse architecture • Plan data ingestion and transformation pipelines • Define data governance framework
Deliverables: Data assessment report, Solution architecture, Use case specifications
WEEK 3-5: BUILD DATA PLATFORM • Deploy Azure Synapse Analytics workspace • Build data ingestion pipelines from source systems • Create data transformation workflows • Implement data quality checks • Set up Azure Data Lake for storage • Configure security and access controls
Deliverables: Operational data platform, Data pipelines, Quality monitoring
WEEK 6-7: AI/ML MODEL DEVELOPMENT & DEPLOYMENT • Develop machine learning models for key use cases • Train and test models using Azure ML • Deploy models for real-time and batch scoring • Integrate ML predictions into data platform • Build Power BI reports and dashboards • Create interactive analytics experiences
Deliverables: ML models, Predictive analytics, Power BI dashboards
WEEK 8: TESTING, TRAINING & DEPLOYMENT • User acceptance testing • Performance optimization and tuning • User training on dashboards and analytics • Production deployment • Knowledge transfer and documentation
Deliverables: Production platform, User training, Operations documentation
---KEY CAPABILITIES---
UNIFIED DATA PLATFORM • Azure Synapse for data warehousing and analytics • Integration with 100+ data sources • Real-time and batch data processing • Azure Data Lake for scalable storage
ADVANCED ANALYTICS • SQL and Spark analytics engines • Complex query optimization • Data exploration and discovery • Historical trend analysis
PREDICTIVE AI/ML • Azure Machine Learning integration • Automated ML (AutoML) capabilities • Forecasting and prediction models • Anomaly detection and alerts
SELF-SERVICE BI • Power BI interactive dashboards • Mobile analytics access • Natural language Q&A • Embedded analytics in applications
DATA GOVERNANCE • Azure Purview for data catalog • Automated data lineage tracking • Compliance and audit reporting • Data quality monitoring
---BUSINESS OUTCOMES---
• 90% reduction in report generation time • Real-time insights across the organization • 40% improvement in forecast accuracy • 50% reduction in data warehousing costs • Enhanced data governance and compliance • Democratized analytics across all business units
---AZURE SERVICES USED---
Azure Synapse Analytics, Azure Machine Learning, Power BI, Azure Data Lake Storage, Azure Data Factory, Azure Purview, Azure Key Vault, Azure Monitor