Covers entire gamut of data lifecycle from Ingestion, Storage, Data Management to Use Case and Analyticsbased Insights.
Can Plug into customer’s existing data lake or infrastructure to build and provide intelligence catering to end use case.
Supports efficient and effective massification of use cases using open source tecchnologies and no vender dependencies.
AI-ML Model repository
Leverages Open-source technology & adaptable to CSPs stack for optimizing CSPs TCO
Massification of use cases at scale & enhanced performance using CEMpliFis intelligent data structures
Data agnostic , Supports various database options.
Built from the ground to be cloud ready.
AI based modules for customer , device , network and location analytics
Created by team with decades of experience handling big data and telecom analytics
UI built using Angular with and GIS / Map interface. Easy integration with popular BI tools like Tableau/ Power BI
Flexible Framework to ingest IOT data and connected device data from 5G Private network ecosystem
Ability to register and manager devices
Number of devices supported increase linearly as new servers are added in clustering mode.
Supports various database options
Built from the ground to be cloud ready.
Modules to detect anomalies and apply custom logic for self healing
Created by team with decades of experience handling NRT analytics and self optimizing networks
UI built using Angular with an optional GIS (map) interface. Easy integration with popular BI tools
Flexible Framework to ingest IOT data
Discerning Customer usage, experience and behavioral insights by dissecting customer (subscriber) patterns across data sources like network probes, call trace data, call & data records, CRM & OSS.
Pre trained AI/ML model for customer location and deep experience insights catering to CSPs problem scenarios. ML Algorithms further help in enhancing CDP features.
Highly scalable solution supporting millions of customer (subscriber) features and dimensions. Compatible with CSPs cloud and Big Data ecosystem.
CDP and its reporting suite is employable across cross section of teams from CXOs to analysts to marketing stakeholders.
Can apply to range of problem statements faced by business teams from Churn, Degrowth & NPS analytics, , Retention & Upsell campaigns.
• Open-Source Big data
Platform
• Spatial/ Non-Spatial Data
• Location Exploration
• Location Intelligence
• Geo Marketing
• Commute Analytics
• Dashboarding
• Slicing and Dicing
• Heat Maps at different
Granularity
• Subscription based feature
access
• Role based User
Management
• Retail Business
• Tourism
• Financial Institutions
• Event planning
• Commute planning
• Footfall / Visitors in a specific geographical area
• Demographic of population in target area (Gender, Age)
• Day of week, Time of day
• ARPU
• Foodie, Gamer, traveler, etc
Cemtics leverages its CEMplifi platform by adding a CEMpliFi data collection engine that can connect to millions of devices and ingest data in near real time.
CEMplifi Data Collector
CEMplifi Data Collector
Customer & Network Data
Anomaly Detection & RCA engine
Presentation Layer
Runs on customer and network data irrespective of NEP, Vendor
Near real time processing with RCA for dynamic events like traffic spikes, availability & alarms
Scalable on CSPs big data ecosystem supporting voluminous event-based data from Call trace,Inventory & Performance management
Can be run on data aggregated and KPIs aggregated across key dimensions needed for CSPs business problem
Unified NMS
Data Collector
Near Real time data
collection
Data storage, Transformation,
Analytics engines