■ enReconcile for Telecom

Solve reconciliation
challenges with this secure
and affordable solution

enReconcile's automated reconciliation platform for Telecom's industry is the most cost-effective solution to solve all your reconciliation challenges.

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Revenue assurance with visibility

Our fully automated reconciliation engine allows you to reconcile your data anytime, from anywhere, at a fraction of the cost compared to traditional reconciliation methods and reports provide you with up-to-date information on all your interconnect traffic and billing activities. You can also receive periodic alerts that allow you to react quickly to any issues that arise.

Common use cases of data
reconciliation in Telecom

Billing
reconciliation

This involves comparing the charges on a customer's bill to the usage and services provided to ensure accuracy and identify any discrepancies.

Inventory
reconciliation

This involves comparing the physical inventory of telecom equipment and supplies to the inventory records to ensure accuracy and identify any discrepancies

carrier access billing reconciliation

This involves comparing the traffic and billing records between two telecom companies to ensure that both parties are accurately billing and receiving payment for the services provided

Traffic
reconciliation

This involves comparing the amount of traffic that is recorded on a telecom network to the amount of traffic that is billed to customers to ensure accuracy and identify any discrepancies.

Service level agreement (SLA) reconciliation:

This involves comparing the services and performance levels promised in an SLA to the actual performance and services provided to ensure compliance and identify any issues.

Capacity
reconciliation

This involves comparing the capacity of a telecom network to the amount of traffic it is handling to ensure that the network is being used efficiently and to identify any capacity issues

Our Key Clients

Challenges that may arise during data reconciliation

Data volume

The telecom industry generates and stores a large volume of data, which can make it challenging to reconcile data in a timely manner

Complex data structures

Telecom data can often be complex and difficult to work with, as it may be stored in various formats and systems. This can make it difficult to perform data reconciliation accurately and efficiently

Data quality

Data quality is a major challenge when it comes to data reconciliation in the telecom industry. Inaccurate or incomplete data can make it difficult to reconcile data accurately, leading to errors and inconsistencies.

Data Security

Data security is a critical concern in the telecom industry, as sensitive customer information is often involved. Ensuring that data reconciliation processes are secure and compliant with data protection regulations is crucial.

Integration with other systems

Telecom data may need to be reconciled with data from other systems, such as billing systems or customer relationship management (CRM) systems. This can be a challenge if the systems are not properly integrated or if there are differences in data structures or formatting.

Cost and resources

Data reconciliation can be a resource-intensive process, requiring dedicated staff and infrastructure. This can be a challenge for telecom companies, especially if they are operating on tight budgets

enReconcile is built to handle big, diverse data whether it is batch or streamed data. The platform can scale to handle enormous data with speed and precision.

happycustomer

pointSupports big and large datasets, both batch and streaming data with seamless integrations

pointData wrangling and transformations with data pipes

pointBridge and consolidate data across multiple sources

point Orchestrate your reconciliation processes with BPM and workflow

pointSetup seamless integrations with source systems with complete control on data format and type.

pointUser controlled reconciliation templates and configurable criteria

point Collaborate with internal/external business partners

point Auto clearance based on business rules, fuzzy matching using advanced algorithms with ability for manual knocking

point Configurable reports, dashboard and alerts.

Our users include

Ellipse-1

1 among the global Big-4 Consulting firms

global-top

2 among the globally top-5 tlogistic firms

global-large

A Globally Large Bank

enterprises

100s of Enterprises


Delight your customers and partners

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Enhanced customer experience and satisfaction

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Drive partner
engagement

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Better KPIs with across the board

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