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Understand how telecom carriers can create new revenue streams and enhance profitability of existing business plans by automating key business processes

Telecom

The telecom industry has always remained at the forefront of digital transformation and has evolved and transformed over the years to become one of the most fundamental pillars of every economy.  With increased digitization, telecom carriers have faced several challenges. Internet based communication tools have reduced the traditional profits derived from voice calls or SMS.

Inventory Management

Automate mapping of your physical inventory
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Customer Care

Improve profitability using quality support services.
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Data Analytics

Gain insights from diverse streams of data.
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Service Assurance

Automate mapping of your physical inventory
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Revenue Assurance

Improve profitability using quality support services.
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In this age of intense competition, the importance of quality data has become more significant. For a telecom service provider, data related to provisioning, maintenance and billing are based on real-time access to data. For monitoring performance of their networks, telecom service providers, typically collect data related to factors such as latency or packet loss ratio. Insights from this data are then used for subsequent network planning or capacity management. If telecom service providers do not have accurate data of their Quality of Service (QoS) for their network such as voice drops, data drops or connection drops, then it will have a big impact on their customer satisfaction ratios, and ultimately their market share.  Data quality is hence a top priority for all telecom service providers.

The importance of quality data for telecom service providers

In a hyper competitive market place, most telecommunication service providers face intense pressure to deliver quality services to their end customers. While analytics can help, the quality of the analytics solution depends on the quality of data. Today, most telecom carriers are struggling to correct inconsistent, incomplete, inaccurate, and non-standardized data in various network data sources. This impacts the core business in a big way as the organization lacks the ability to consistently act upon data driven events, as data is non standard and there is lack of synchronization among data sources. As a result, most telecom carriers take longer lead times for introduction of new services and features, and rely on manual error prone data correction processes.

How Sincera can help?

In a hyper competitive market place, most telecommunication service providers face intense pressure to deliver quality services to their end customers. While analytics can help, the quality of the analytics solution depends on the quality of data. Today, most telecom carriers are struggling to correct inconsistent, incomplete, inaccurate, and non-standardized data in various network data sources. This impacts the core business in a big way as the organization lacks the ability to consistently act upon data driven events, as data is non standard and there is lack of synchronization among data sources. As a result, most telecom carriers take longer lead times for introduction of new services and features, and rely on manual error prone data correction processes.

Acquiring an edge with NICE

Sincera’s Network Information Compliance Engine (NICE) can be a perfect fit as it is a platform designed to identify and correct inconsistent, incomplete, inaccurate, and non-standardized data in various network data sources. With NICE, network operators can define and retrieve sets of data from multiple sources and process them using a rule-based engine to uncover exceptions and data anomalies. The non-compliant data can then be processed by the defined export services for data correction. NICE can help telecom carriers create an Enterprise Data Governance framework and monitor and enforce data standards and quality criteria across the enterprise. The solution can also help telecom carriers identify and fix discrepancies and incorrect data, trigger rules and validations on occurrence of business events, and enable rich data insights into business operations based on data trends using machine learning.

We have delivered real value across multiple large national carriers. Our automated data cleansing, error identification and correction service has helped a customer save significant OPEX to the tune of of approximately $4m. We have also helped in improving ‘Time to Revenue’ – a critical factor for most telecom carriers. We helped a customer in accelerating 5G deployment and improved provisioning intervals by 5% to 20% for Internet Access circuits. For another customer, we helped in improving MTTR metrics through rapid correlation and E2E topology view. By streamlining fault management, we helped the client gain significant cost savings. We have also helped many customers improve their CaPEx efficiency by reducing third party circuit cost by at least 5%.

Technology Integrations
Technologies

A non-intrusive overlay software application, NICE is database technology agnostic and can retrieve data from a variety of data sources.

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Systems

Ability to monitor and enforce data standards and quality criteria from different systems such as billing, CRM, ERP etc.

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Devices

Ability to identify a number of network devices which in turn is useful for mapping inventory system data.

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Build It with Your Data

Did you know, NICE has been helping telcos since 2003.

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