Featured Technology Solutions
Maximize the value of your D&A investment with Dopplr's innovative solutions
Cutting-edge D&A tools and a flexible product architecture
Take control of your data with Dopplr
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Enterprise Data Catalog
The Enterprise Data Catalog (EDC) bundle enables a complete listing of all digital data assets available across the organization. Analysts can search for data assets with its lineage and peer/enterprise validation, ensuring trust in the data. One place to find all relevant data required for any analysis.
Data Lineage
Suggestive Data Recommendation
Business Glossary
Peer Endorsement
Enterprise Digital Data Listing
Enterprise/Peer Usage Statistics
Business Benefits
Instant access to all datasets available across organization
Comprehensive data dictionary/glossary with IT & Business collaboration.
Trust & Confidence in Data
Historic data analysis
ML/AI Models Training
Enterprise Data Lake - Self Serve
The Enterprise Data Lake (EDL) bundle helps organization in building an enterprise data lake by creating inflow data pipelines from various sources, be it structured or semi-structured under common business tags. Data in enterprise data lake can be shared among business users to experiment/analyze for deeper insights.
Search Datasets
Harmonize Datasets
Profile Datasets
Create Enterprise Data Lake
Ingest Raw Data
Technology Use-Cases
Exploratory Data Analysis
IOT data (Smart Devices) analysis
Real-time decision applications
Machine Learning (ML) in Action
The Machine Learning Ops (MLOps) bundle provides end-to-end
functionality to operationalize AI/ML based solution. Quick deployment of ML models for continuous execution and re-training.
Business Benefits
Sales forecasting by SKU
Volume sales prediction for production planning
Customer segmentation for targeted marketing campaign
Search/Profile Datasets
Build/Execute ML Model
Ingest Raw Data
Operationalize ML Models
Build Master Data Sets
Product recommendation for customer (Upsell)
Edge Analytics (IOT)
The Operations IOT Analytics (IOT) bundle enables connecting to a variety of IoT devices directly on its data platform for real-time analytics solution. It provides end-to-end capabilities from data capture to real-time actionable insights at point of action.
Technology Use-Cases
Predictive maintenance
Inventory telemetry environment controls.
Connect IoT Devices
Real-time ML Insights
Stream/Profile Data
Operationalize Intelligence
Real-time data pipelines
Assets monitoring and geo fencing.
In-transit logistics oversight
Enterprise Analytics
​The Enterprise Analytics bundle offers complete capabilities for developing standard BI reporting and dashboards that are consumes across the enterprise. Along with robust data and KPI governance, it extends enterprise standardization and resilient data security.
Search/Profile Datasets
Create intuitive Storyboards
Harmonize Datasets
Share & Collaborate
Build Enterprise Dashboards
Business Benefits
Finance dashboard: Working Capital Analysis.
Enterprise Performance
Market Share dashboard.
Operational Reporting
Product Sales Dashboard
Improved Platform Portability
Intelligence Anywhere (Containers)
Centralized Apps : Fully Containerized application built on doppler and deployed on the web application. Processing still happens at Dopplr.ai cloud on stand alone slice of storage/compute from Dopplr
Key Highlights!
Massively Auto-Scaling Design
5X Cost Saving compared with VM
Decentralized Apps : decentralized application containerized at Dopplr intelligent platform and deployed at the edge devices. Most often if the devices doesn’t have any execute/storage of itself, deployment can happen at the AI accelerators attached to these devices. AI accelerators like Intel NCS/ Google Coral/ NVIDIA Jetson
Seamless product version update
Observability
Service Mesh with Dopplr™ Observe: Provide service mesh communication with individual analytics deployment in the framework.
Model Bias
Data Drift
Schema Change
Model Run Logs
Overall Service status
Analytics Run Logs
Model Accuracy
Real-Time parameters observe
Analytics Run Logs
Data Drift
Model Run Logs
Schema Change
Model Accuracy
Overall Service status
Model Bias
Technology Benefits
App Governance
Security & Control
Traffic management
App observability
Edge Service Mesh
