Enhance DSP’s business outcomes by customized Artificial Intelligence/Machine Learning-powered data solutions

The Business Need/Challenge

DSPs have a distinct advantage of having volumes of data about their customer, network usage, online behavior, location, etc. Being the key asset of any DSP, data must be strategically managed to streamline their operations, enhance customer experience, innovate new products and services, reduce costs, and much more. If DSPs can handle these diverse data dimensions effectively, they can reap huge benefits from their investments. 

Today, almost all data solutions marketed by IT service providers across the globe are horizontal in nature and lack telecom relevance and depth. Real transformation requires an in-depth understanding of the industry and expertise in customizing and leveraging the power of Artificial Intelligence/Machine Learning technologiesand companies with such capabilities are a rare find. Given the significant impact, DSPs need to adopt a comprehensive suite of data solutions that helps to generate actionable insights from their data. 

What We Do

As an independent consulting, technology, and managed services partner, Prodapt delivers DSP-centric custom data services and business outcomes in an agile manner. Our industry-focused data engineers/scientists have the wisdom of transforming raw data to business sense that DSPs around the globe can implement. In addition, our deep domain expertise coupled with digital-by-default skills helps to capture the transformative power of data in empowering the DSP ecosystem. 

Industry Relevance & Comprehensive Solution 

  • Data collection from various sources in both real-time and otherwise, structured and unstructured, internal and external systems 
  • Data engineering and data lakes provide advanced data collection and retention systems catering to the ever-increasing data sets leveraging hyper-scaler services 
  • Data science that transforms data into actionable intelligence to enhance CX, optimize IT/network, improve ARPU, and discover new revenue avenues 
  • Artificial Intelligence/Machine Learning Ops for continuous introspection and improvement to enhance and adapt to the behavior of the ecosystem 

Data Engineering, Data Exploration, Model development, Tuning, Deployment, Integration, and Operations in the telco domain is our expertise. 

  • Data engineering that makes data available for data scientists
    • Data lake design and implementation
    • Design and development of data pipelines
    • Design and development of access policies
  • Data science that extracts intelligence and business value out of the data heap
    • Data ingestion
    • Data pre-processing
    • Data visualization
    • Data interpretation and deep analysis
    • Model building
    • Model comparative analyzer and model deployment
    • Plug and play services for DSPs
  • Machine Learning Ops that collaborates data science and operations, cutting edge computing technologies like Artificial Intelligence, Machine Learning, and Monitor services 
    • Automate tasks
    • Enable digital contact center

Synapt is an Artificial Intelligence/Machine Learning platform that enables data scientists to quickly train and build machine learning models.

Synapt framework contains:

  • Holistic DSP data science​
  • Plug and play services​
  • Prefabricated ensembles​
  • Integrated toolchains​
  • Ready-to-go Machine Learning packages ​
  • On-prem, cloud, hybrid, multi deployable​

Synapt platform offers telco specific solutions-as-a-service, in addition to the generic platform as a service.

  • Enables data preprocessing, exploratory data analysis, and data modeling including assisted mode​ 
  • Provides a catalog of control techniques for building highly optimized models
  • Pre-integrated with cloud Auto Machine Learning services of hyperscalers enabling cloud-based modeling 
  • UX-centric interface eliminates the need for programming making it easy for use by data scientists 
  • Enables plug and play services for CSP/DSPs, including prefabricated packages for OEMs and model ensembles for telco use cases 

Truck Roll Reduction

Optimize truck rolls by up to 70% without human intervention. Delivers cost savings of $10 Mn+ annually and improves customer satisfaction. 

Call Center Optimization

Improved customer experience (CX) using fault prediction models to identify/address issues before they occur. Reduce call volumes by 15%, deflect ~20% of calls to lower-cost digital chat and increase self-serve adoption. 

Network Fault Prediction

Proactive anomaly detection for the telco devices and systems using the performance metrics, enabling a quicker MTTR. Helps to isolate the exact failure locations. 

Order-to-Activate (O2A)

Managed digital transformation to reduce O2A cycle time and increase new business wins. Delivers 2x productivity, reduces O2A cycle time by up to 70% and opex savings up to 50%. 

+ Our Expertise

Data Engineering, Data Exploration, Model development, Tuning, Deployment, Integration, and Operations in the telco domain is our expertise. 

  • Data engineering that makes data available for data scientists
    • Data lake design and implementation
    • Design and development of data pipelines
    • Design and development of access policies
  • Data science that extracts intelligence and business value out of the data heap
    • Data ingestion
    • Data pre-processing
    • Data visualization
    • Data interpretation and deep analysis
    • Model building
    • Model comparative analyzer and model deployment
    • Plug and play services for DSPs
  • Machine Learning Ops that collaborates data science and operations, cutting edge computing technologies like Artificial Intelligence, Machine Learning, and Monitor services 
    • Automate tasks
    • Enable digital contact center
+ Synapt Platform

Synapt is an Artificial Intelligence/Machine Learning platform that enables data scientists to quickly train and build machine learning models.

Synapt framework contains:

  • Holistic DSP data science​
  • Plug and play services​
  • Prefabricated ensembles​
  • Integrated toolchains​
  • Ready-to-go Machine Learning packages ​
  • On-prem, cloud, hybrid, multi deployable​

Synapt platform offers telco specific solutions-as-a-service, in addition to the generic platform as a service.

  • Enables data preprocessing, exploratory data analysis, and data modeling including assisted mode​ 
  • Provides a catalog of control techniques for building highly optimized models
  • Pre-integrated with cloud Auto Machine Learning services of hyperscalers enabling cloud-based modeling 
  • UX-centric interface eliminates the need for programming making it easy for use by data scientists 
  • Enables plug and play services for CSP/DSPs, including prefabricated packages for OEMs and model ensembles for telco use cases 
+ Use Cases and Our Deployments

Truck Roll Reduction

Optimize truck rolls by up to 70% without human intervention. Delivers cost savings of $10 Mn+ annually and improves customer satisfaction. 

Call Center Optimization

Improved customer experience (CX) using fault prediction models to identify/address issues before they occur. Reduce call volumes by 15%, deflect ~20% of calls to lower-cost digital chat and increase self-serve adoption. 

Network Fault Prediction

Proactive anomaly detection for the telco devices and systems using the performance metrics, enabling a quicker MTTR. Helps to isolate the exact failure locations. 

Order-to-Activate (O2A)

Managed digital transformation to reduce O2A cycle time and increase new business wins. Delivers 2x productivity, reduces O2A cycle time by up to 70% and opex savings up to 50%. 

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