HOW DO YOU MANAGE DATA IN AN OMNI-CONNECTED WORLD?

With every device connecting to the internet and also to one another, consumers and businesses generate volumes of data. Putting this data to use is today's challenge

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HOW ARE YOU HANDLING ALL THAT IOT DATA?

The Internet of Things (IoT) is an emerging capability that organizations are adopting to build real-time analytics solutions for internal stakeholders and clients. Managing IoT data requires three or more capabilities: Big data management, microdomain services, and working with leading cloud platforms.

BIG  DATA MANAGEMENT FRAMEWORK

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Mphasis offers IoT and sensor data collection, storage, analytics, real-time monitoring, and automated actions as part of our big data and analytics offering.

Our big data management offerings include:

• Design and build of data stores 
• Data migration, integration, and ingestion from sources like databases, mainframes, IoT, social streams, and emails
• Processing of data in batches and in real time 
• Data as a service 
• Single source of truth, agile master data management, and quality control access to data as per governance rules 
• Enablement and reporting of data lineage 
• Self-service analytics, filtering, roll-up, and drill down 
• KPI dashboards that drive business process optimization 
• Generation of cross-functional reports for compliance

MICRODOMAIN SERVICES

 

We work with an enterprise’s subject matter experts to create microservices architectures—the foundation for designing new applications.

• Industry-specific Domain Modeling, Taxonomy, and Ontology 
• Microservices Architecture and Consulting: Designing of new applications based on the microservices pattern and enabling cloud-native capabilities
• Microservices API Testing: End-to-end micro-services and API Testing
• API Blueprinting and Analytics
• Microservices Monitoring and Governance
• API Security Consulting

CLOUD PLATFORM MANAGEMENT

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We help enterprises identify the right cloud service provider that supports IoT by providing extensive research and evaluation. 

• IoT cloud platform identification, evaluation, recommendation, and implementation
• IoT cloud data strategy and implementation
• Cloud integration services and IoT analytics
• Cloud data migration and ongoing data management
• Cloud-based notification management services
• IoT cloud-based telemetry and analytics services

SUCCESS STORIES

 

Top Logistics Provider Achieves 80,000 Deployments in One Year