
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

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
