Striim Solutions for Telecommunications

Striim’s unified data integration and data streaming platform connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time.

The telecom industry has witnessed an unprecedented increase in the demand for data, voice, and video services in recent years, leading to a rapid growth in the volume and velocity of data. With 5G technology, the demand for real-time data processing and analytics is becoming even more critical, driving companies in this industry to adopt advanced technologies to remain competitive. However, this growth comes with significant challenges such as data integration, real-time analytics, and security concerns.

Striim provides telecom companies with the right data at the right time to help telecommunications companies overcome these challenges and achieve their digital transformation goals.

Siloed Data Negatively Impacts Operations

How Striim Supports Telecommunications Use Cases

Striim is a data integration and streaming analytics platform that enables businesses to collect, process, and analyze data from various sources in real time. Telecommunications companies can use Striim to leverage the benefits of real-time data analysis to solve a variety of use cases such as:

Use Case 1

Reduce Cost to Serve and Improve CX

Challenge: Every single operator is under intense pressure to reduce cost and yet somehow retain the highest value customers by providing a world-class Customer Experience.

Striim Solution: Striim makes it possible to reduce costs & churn, remove channel friction and improve digital CX by harnessing advanced analytics that power coordinated decision capabilities that connect all customer interactions and transactions together in an integrated household/company 360-view that is updated in real-time across ALL digital domains.

Business Value: automation of data orchestration combined with tightly integrated household/company level data and intelligent use of real-time AI, balances the reduction of costs and reduction of churn with significant increases in NPS/CSAT.

Use Case 2

Customer Centric Network Optimization & Targeted Decommissioning

Challenge: Networks are typically built to perform at an aggregate level across multiple technologies, at a significant cost with very little focus given to individual customer experience or SLAs. This can lead to inefficiencies in cost management in addition to slow and cumbersome decommissioning programs.

Striim Solution: Striim data orchestration enables the targeted optimization of all networks for high-value customers. Striim also helps to productize location data internally and externally whilst also reducing tech debt, carbon emissions, and power-related costs.
Striim also enables the network team to run predictive maintenance analytics on data prior to it arriving in the downstream data platform, providing faster and more automated insights/actions as well as the potential for sensitive data separation when required.

Business Value: Reduced Costs via decommissioning and network optimization, reduced churn via better SLAs, and increased NPS/CSAT.

Innovation With Real-Time Data

Use Case 3

Customer Profitability & Financial Transformation

Challenge: Sourcing and consolidating customer-related data from multiple sources and systems spread across the business to create a view of customer profitability is a complex and time-consuming activity with varying degrees of success.

Striim Solution: Striim sources and enables integration of the right balance of real-time and batch data sets to produce customer household/business profitability analytics and consolidated financial decisions much earlier in the day. Strategic KPIs such as EBITDA and EPS can also be calculated intraday using Striim’s real-time capabilities.

Business Value: making multiple financial and commercial decisions earlier in the working day ensures that the business is always on course to measure, justify, and complete activities that would sometimes take many days and weeks to achieve. This enables a customer-centric, finance-led transformation that provides a customer profitability view for ALL enterprise-wide decisions, from rationalizing tariffs to creating new services and building new state-of-the-art networks.

Use Case 4

Revenue Assurance & Fraud

Challenge: Telecom service providers lose millions each year due to revenue assurance issues and fraudulent activity such as identity theft, call hijacking, and SIM card cloning.

Striim Solution: By combining and analyzing real-time and batch data from various sources such as XDRs, location data, device networks, and billing systems, Striim can identify multiple patterns of fraudulent behavior and revenue gaps to alert the company before any potential damage is done.

Business Value: Assuring every dollar is accounted for and reducing costs from potential fraud, roaming claims, and bill shock, whilst also ensuring higher customer satisfaction (CSAT).

Use Case 5

Location Based Services & Data Products

Challenge: Most operators have a treasure trove of highly granular location and mobility data embedded in operational systems spread across the business but struggle to centralize that data in an environment that allows it to be used as a data product that can be shared, reused and monetized, internally and externally.

Striim Solution: using a combination of Striim and an advanced cloud data platform, data productization becomes a reality, especially where the real-time element of data acquisition and advanced analytics coincide.

Business Value: Striim makes data productization faster, more scalable, and more valuable to internal and external stakeholders, enabling a pivot to a new business model and increased agility.

“When we want to build new applications on Striim’s streaming data, it only takes a couple of days – as opposed to months – to deploy.”

Rajesh Raju

Director of Data Engineering, Ciena