Solutions
Ideate
Tinkering beyond spaces, exploring the manifestations and promising to deliver astoundingly efficient solutions
Design
Optimizing technological capacities to cater to your workstyle
Develop
Developing perfect solutions to get placed in your landscape
Deploy
Engineering creative ways to harness technology for a better times
Our Pilots
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