Solutions
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Ideate
Tinkering beyond spaces, exploring the manifestations and promising to deliver astoundingly efficient solutions
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Design
Optimizing technological capacities to cater to your workstyle
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Develop
Developing perfect solutions to get placed in your landscape
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Deploy
Engineering creative ways to harness technology for a better times
Our Pilots
- Azure Datalake
- Azure IoT
- Azure Purview
- Azure ML
Week 1
- Envisioning workshop to business users
- Business use case discovery and evaluation
- Define pilot project scope
Week 2
- Azure subscription & management creation
- Define the sources and create ingestion layer
- Design data engineering flow
Week 3
- Develop data engineering process
- Data Lake layers management
- Data model and data mart creation
Week 4
- Development of data pipelines
- Defining triggers and alerting
- Azure data governance metrics
Week 5
- Advanced threat protection
- Reporting layer creation
- Power BI reporting for the pilot
Week 6
- Hands on demo and document
- Work with business on next steps of scaling
Week 1
- Envisioning workshop to business users
- Business use case discovery
- Define pilot project scope
Week 2
- Azure resources management
- Create & configure an IoT Hub
- Build device messaging & communication
Week 3
- Configure physical IoT devices
- Provisioning & managing devices
- Managing device lifecycle
Week 4
- Automate device management
- Enable alerts & metrics for the devices
- Configure streaming & time-based data management
Week 5
- Define the monitoring process of the solution
- Reporting layer creation
- Test the process and improve with customization
Week 6
- Deploying the solution
- Hands on demo and document handover
- Work with business on next steps of scaling
Week 1
- Envisioning workshop on unified data governance
- Azure Purview overview
- Define a pilot project scope
Week 2
- Azure resources configuration and management
- Design the flow by mapping data
- Develop the loading process with a sample data
Week 3
- Develop data mapping classification & cataloging
- Deploy the end-to-end flow with real data
- Test the flow and work with business to confirmation
Week 4
- Deploy the solution
- Hands on demo and document handover
- Work with business on next steps of scaling
Week 1
- Envisioning workshop to
business users - Business use case discovery
- Define a problem statement & pilot project scope
Week 2
- Azure resources creation and management
- Design data ingestion process
- Develop ML Algorithms that fits best for the need
Week 3
- Data preparation & modelling
- Train the data for model performance analysis
- Data enrichment & Hyper parameter tuning
Week 4
- Train the model performance
- Features & Hyper tuning parameters
- Defining model performance
Week 5
- Deploy the ML Model
- Provision API access
- Test the model performance with business teams.
Week 6
- Hands on demo and document
- Work with business on next steps of scaling
- Considerations of MLOps