Big Data Analytics
Telcovas Analytical practices enable operators to reap the benefits of the large volume of the data available with Mobile Operators. Telcvas’s platform and applications are built around open source technologies that interpret, infer, discover and predict KPIs, insights, recommendation and actions.
Telcovas Jarvis Analytical suite focuses on 3 C’s
- Consolidation,
- Convergence and
- Creation
Consolidation : Jarvis (Data Pipe)-
- Enables Amazing Transformation of Aggregating On-Premise and Scattered Data Set
- Filters Real-Time and Batch Data from Multitude Data Sources Towards Cloud Deployment
- Enables Complex Event Processing Mechanism for Structured, Unstructured and Semi-structured Data Sources
- Integrates and Extracts Data with available various adaptors and connectors from all Telco nodes
- Ensures Data Distribution as per agreed SLA’s and Data Availability towards Down-Stream Data systems
- Customized Adaptors available as per Request
Convergence : Jarvis Streaming ETL (Kafka/Ni-fi, Streaming Micro-Services Architecture & Containers)
- Data Aggregation
- Data Filtering
- Data Transformation
- Data Distribution
- Data / Complex Event Processing
- Data Triggers
Creation : Use Cases and Analytics
- Big-Data Lake
- Data Availability Real Time /Batch Data
- Analytics
- Exploratory
- Prescriptive
- Predictive
- Heuristic
- Descriptive
- Internal Monetization
- Next Best Offer
- Product Popularity / Uptake
- Product Impact analysis
- Action Prediction
- Lead to Provisioning
- CLV monitoring
- Opportunity Identification
- Reduce Churn
- Drive data adoption
- Enhance Revenue
- RoI
- Effective Measurement
- Cost Benefit analysis
- Outcome Forecasting
- Impact Optimization
- External Monetization
- B2B
- Data Insights and Dashboard for Industries
- Enhance Revenues
- Optimize Margins
- Launch Digital products / services
- Location
- Geo-Spatial Reporting
- Location Affinity
- Location based Forecasting
- Network / Infrastructure
- Performance Monitoring
- Event Prediction
- Recommendation / Triggering Network Components
- Assure Customer Experience Management
- QoE and QoS
Services :
- Big-Data Services
- Data Discovery
- Custom Adaptors creation
- Data Integration
- Data transformation
- Manage Central Mobility Data Management
- Data Creation and Maintenance
- Data Science Services
- Packaged Analytics and Models
- Custom Model Development
- Model Fine Tuning
