Case Studies

Client Scenario

• Calls dropping midstream always present challenges for customers. One among many of the reasons is preventing overloading of SIP sessions, i.e.call saturation at the switch level.
• Inteliquenthad limited reporting data source information and gaps in the documentation of requirements. 
• The client intends to analyze the performance of the switches deployed nationwide.
• Internal users had pressing needs for visibility into the call drops by market/region to determine customer impact.

Solution

• The data platform Prism consumes 800+ mm records per day (>1.5 TB/day) in near real-time, enriched, stored, and indexed, reducing the 4-day consumption period down to 15 minutes
• PRISM consumes the CDR streams coming off the switches and determines the call saturation
• PRISM’s machine learning capabilities determine the core cause for call disconnection
• Depending on the output of ML analysis, call saturation routing alerts are raised

Impact

• Managing quality of service allowed proactive addressing of call saturation scenarios in real-time, thereby improving customer experience and reducing time to detect anomalies and remediate system issues
• Secured future innovation by delivering a knowledge repository for reports, including LLDs, User Guides, a One-stop document for reports, Data, and process flows for the business users.
• Reusable architecture for scalability and stability 

Client Scenario

• Call cost is determined by the routing the call takes from caller to the callee. The more vendor networks it traverses, the cost to carry the call increases.
• Determining optimal routing to ensure cost effectiveness is important in an age where consumers have “All You Can Eat” minutes, but they pay a flat rate.
• Inteliquent had “after the fact” analysis to determine the rating policy effectiveness

Solution

• PRISM, as part of the call streams reviews the routing taken by each call 
• PRISM mashes the call route with the pricing tiers and determines any degradation with routing from a pricing standpoint
• If the call pricing is higher than configured threshold, the alerting platform takes over for alerting on routing effectiveness. 

Impact

• Any misconfigured call routes that may be in more expensive tiers for carrier traffic, they are caught in near real-time
• If there are new routes that are getting heavier usage, the data is now available for better contract negotiation with intermediate carriers/interconnects.

Client Scenario 

• There are large number of calls that Telco providers receive which are classified as “robocaller.” 
• Such calls are not made by people and are generally spam-related. 
• Identifying such calls is crucial to providing accurate pricing to customers and blocking future calls

 Solution 

• Route all call data through a custom monitoring framework
• Utilize proprietary AI/ML classification algorithms in order tomark calls as robocallercalls
• Easily configurable rules to tweak the classification algorithms
• Automated routing of data to dashboards as reports 

Impact

• Provide an easy to use, configurable interface for analysts to identify potential robocaller calls and tweak the algorithm used to classify them 
• On the network side, prevent artificially high call volume from overloading servers and causing traffic congestion 

Client Scenario

• With the business landscape and customer base being smaller telecommunications companies, the customer interaction for volume transactions cannot be a web-based portal requiring manual interaction, thereby the need to build an API layer to interact with all aspects of TN management.
• There was a need for reconciliation across data stores, both internal as well as with customer’s internal systems. An automated auditor was needed to ensure the integrity across data stores.

Solution

• Created a suite of over 200 APIs to allow for customers to be fully integrated for complete order flows and reporting including feature management without the need for human interaction. 
• Created an Auditor platform to allow for systems to be in data sync with each other. 

Impact

• With the client’s customer base being other tech platforms, having these apis made their integration seamless.  
• Ensuring that data platforms were in sync across the eco-system (TN management, billing, network usage etc.) made data governance meet its goals. 

Client Scenario

• Our client was looking for a comprehensive wealth management platform - streamline workflows, manage documents, reduce errors
• Provide better tools for servicing clients, managing research, marketing funds 
• General reporting for their investors and advisors.

Solution

• Using a microservices architecture, we built services for onboarding funds, onboarding advisors and investors, fund marketing, document management, and client servicing and reporting. 
• Sophisticated access control allows the client to onboard external advisors and segment their access. 
• Intuitive UX makes it easy for client services to onboard investors and manage documents. 
• The system is built to allow multiple tenants so it can be used to onboard external advisors and/or white label the platform. 

Impact

• The platform has reduced the workload and streamlined operations across all aspects of the business.
• Sophisticated, access control provides secure access to documents and reports across hundreds of advisors
• Rich dashboards allow the visualization of the portfolios in many different ways and provide new insights into risks and opportunities.

Client Scenario

• Our client was relying on a collection of Excel spreadsheets to manage their investment portfolio of exotic securities. 
• As the portfolio grew and the risk and valuation models got more sophisticated, it became evident that they needed a solution to manage the investments and daily transactions more effectively.

Solution

• We designed a custom web-based portal and migrated all the data to the cloud
• Created a document management system to keep track of warrant covenants and contracts
• Created a pricing tool to compare the warrant valuations across multiple models with the ability to improve the model using AI/ML
• Provided a timeline of all transactions and changes to the portfolio to provide a comprehensive audit trail 

Impact

• Ability to manage all investment specific documentation, agreements, transactions, and pricing from a single comprehensive portal
• Improved valuation and risk models allowed the client to compare different scenarios and manage investments and risks more effectively using AI/ML
• Allowed the client to grow the portfolio and manage the investments with the same team size