- DTS
- Data, Analytics & AI
Make Every Decision Count with
Data and AI
Every decision count, and data makes each one smarter. We are here to help your organization
harness the power of Data, Analytics, and AI to gain deeper insights, streamline processes, and
fuel continuous innovation.
Let’s turn your data into insights that drive impact.
How We Transform Your Data Landscape
- Data Strategy & Consulting
- Modern Data Platform Implementation
- Data Integration & ETL/ELT
- Business Intelligence (BI) & Analytics
- Advanced Analytics (Data Science & ML)
- Data Governance & Quality Management
- MLOps (ML Operations) & DataOps
- Data Visualization (Beyond Standard BI)
- AI-Powered Solutions & Generative AI Integration
Data Strategy & Consulting
Data Maturity Assessment: Evaluate your current data ecosystem and identify improvement opportunities.
Comprehensive Data Strategy: Create a roadmap that aligns your data goals with business objectives.
Data Governance Framework: Define roles, responsibilities, and policies for data quality & compliance.
Master Data Management (MDM): Standardize and manage critical business data across applications and systems.
Modern Data Platform Implementation
Cloud Migration: Move on-prem databases (SQL Server, Oracle, etc.) to Azure SQL Database, Azure Managed Instance, or Azure Cosmos DB.
Data Lake Design : Centralize data using Azure Data Lake Storage Gen2 for structured and unstructured data.
ETL/ELT Pipelines : Build and automate data flows with Azure Data Factory and Azure Databricks.
Unified Analytics : Implement Azure Synapse Analytics for advanced analytics and high-performance data warehousing.
Data Integration & ETL/ELT
• Integrate data from ERP, CRM, SaaS, and on-prem systems.
• Build scalable ETL/ELT pipelines for real-time and batch data processing.
• Ensure data accuracy, lineage, and consistency throughout the data lifecycle.
• Automate data ingestion and transformation for analytics readiness.
Business Intelligence (BI) & Analytics
• Connect to diverse data sources across cloud and on-premises environments.
• Develop optimized data models and semantic layers for performance and scalability.
• Design intuitive Power BI dashboards that deliver actionable insights.
• Enable self-service BI for users and conduct adoption workshops for seamless transition.
Advanced Analytics (Data Science & ML)
• Develop predictive models for forecasting, churn detection, and anomaly identification.
• Build and train custom ML models using Azure Machine Learning.
• Perform feature engineering and model evaluation for maximum accuracy.
• Identify new use cases through Data Science Consulting tailored to your industry.
Data Governance & Quality Management
• Define data ownership, stewardship, and accountability structures.
• Establish data quality, privacy, and compliance standards.
• Implement metadata management and access controls for secure data handling.
• Maintain high data integrity through continuous monitoring and reporting.
MLOps (ML Operations) & DataOps
• Implement CI/CD pipelines for data workflows and ML models.Automate testing and validation of data transformations
• Monitor data quality, pipeline performance, and model health
• Enable cross-functional collaboration among data engineers, scientists, and analysts.
• Manage model versioning, deployment, and governance for consistent outcomes.
Data Visualization (Beyond Standard BI)
• Build dynamic and real-time visuals for operational and executive dashboards.
• Enable pattern discovery and trend analysis through interactive analytics.
• Design visual narratives that align with business KPIs and goals.
• Create custom visual experiences that promote engagement and better decision-making.
AI-Powered Solutions & Generative AI Integration
• Integrate Azure Cognitive Services (Vision, Speech, Language, OpenAI) into business applications.
• Develop intelligent virtual agents with Azure Bot Services and Power Virtual Agents.
• Implement Generative AI use cases such as document summarization, knowledge Q&A, and content creation.
• Customize and fine-tune AI models for industry-specific scenarios and compliance needs.
How We Transform Your Data Landscape
Why This Service Matters
Smarter
Decisions
Transform raw data into actionable insights that drive results.
Scalable
Architecture
Build flexible, cloud-first data ecosystems on Azure.
Improved
Collaboration
Enable teams to work with consistent, governed data.
Innovation with
AI
Leverage ML and GenAI to automate processes and discover new opportunities.
End-to-End
Governance
Secure, compliant, and trustworthy data management at every step.
How We Work
With You
Discovery Workshops
Assess current challenges and define your
data goals.
Agile Delivery
Use focused, time-boxed sprints for faster
implementation.
Continuous Feedback
Involve key stakeholders for alignment and
adaptability.
Adoption Enablement
Provide training and change management
for sustained success.
Ongoing Support
Monitor and enhance your data ecosystem
continously.
Success Stories
That Inspire
Our Valued Customers
What Our Clients Say
Invasystems transformed our data landscape, from scattered
reports to real-time insights across every function. We now make
faster, smarter decisions.
- Head of Business Transformation, Manufacturing Industry
