400+ telecom companies work with SAS to accelerate data driven decisions. Harness your telecom data and make fast, automated, and trustworthy business decisions powered by SAS, a leader in AI and Data Management by Analysts, to secure long-term profitability.
Our team of telco analytics experts and partner representatives from the SAS Innovation Ecosystem look forward to meeting you to discuss how AI and SAS can help you:
- Safeguard your telecom and fintech revenue streams.
- Proactively prevent fraud and mitigate risk.
- Ensure a frictionless customer onboarding experience.
How SAS helps CSPs
Enterprise Decisioning – Fraud, Credit Risk and Revenue Assurance
Fraud Management
Fraudsters are notorious for always being one step ahead in the telecom industry, surpassing current anti-fraud measures and motivating CSPs to establish more intelligent mechanisms to win the fight. In fact, the CFCA 2023 Global Fraud Loss Survey has shown an increase in fraud impacts in the industry, with a 12% increase in the percentage of losses related to revenue of the telecoms providers.
SAS can help you proactively prevent fraud and mitigate risk while ensuring a frictionless customer onboarding journey for improved revenue assurance by leveraging the state-of-the-art Revenue Assurance & Fraud Management (RAFM) solution.
Together with our partner Vanrise, we ease the pressure and support you to be more efficient and deliver a better customer experience, resulting in positive impacts on your bottom line.
Revenue Assurance
As CSPs increase their service offerings and undertake digital transformation programs, Revenue Assurance teams have become stretched. Ensuring that assurance activities provide a suitable level of coverage, and fixing incidents of leakage or over-billing quickly and efficiently, have resulted in a significant increases in human resources dedicated to the process.
Come and talk to SAS and Vanrise about how our partnership can help increase coverage and detect issues faster through the use of machine learning and decision automation.
Credit Risk Management – Originations and Lifecycle Management
As economic cycles accelerate, managing credit risk has become increasingly complex. Whether that is making decisions during the onboarding process about affordability, credit risk and pricing or lifecycle decisions such as collections and financial reporting (IFRS), the cloud native SAS Viya platform provides a one stop shop to managing risk.
Come and talk to us about how SAS Viya is improving analytical innovation and collaboration across the credit risk lifecycle and how our customers are using it to reduce bad debt, while simultaneously improving customer outcomes and experiences.
In cooperation with
Fill out the form to set up a meeting with us at MWC 24, and we'll be in touch to schedule a time that works for you.
SAS Experts
Katarina Garai has joined SAS early in 2019 and works within the SAS Fraud & Security Intelligence team helping customers build best-in-class fraud deterrence programs. She has strong experience through working as a Head of Fraud, leading fraud investigations, as well as years as Internal Auditor or Compliance Officer. She has strong knowledge of fraud prevention and detection processes, combined with different fraud investigation strategies in combination of traditional and newest approaches.
Carl Eastwood has spent his career in Fraud and Financial Crimes working in the UK, Australia, and New Zealand. Having originally worked in Banking, and then Telecommunications, Carl joined SAS in 2016. He has spent the majority of his career building and deploying machine learning models using a variety complimentary technique, such as Link Analysis. Carl has spent a large part of that time focusing on telecommunications fraud and in particular subscription fraud/handset fraud detection.