Download PDF
Telefónica’s analytics projects get the fuel they need with synthetic data
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Data-as-a-Service
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
The Challenge
In the telecom industry, data is everything. To keep customers happy and onboard, companies need to stay on top of trends and determine the next best actions accurately. Analytics, just like AI, can only be as good as the data that is used for extracting insights. However, as much as 80-85% of customer data is locked away due to lack of customer consent, keeping a large portion of customer behavior in the dark. To complicate matters further, this consent can be withdrawn at any time, and systems need to be able to accommodate such changes. Consequently, analytics projects often fail to even take off for lack of compliance.
About The Customer
Telefónica is a leading telecommunications company that operates globally, providing a wide range of services including mobile and fixed-line telephony, broadband, and digital services. With a strong presence in Europe and Latin America, Telefónica serves millions of customers, making it one of the largest telecom operators in the world. The company is committed to innovation and digital transformation, leveraging advanced technologies to enhance customer experience and operational efficiency. Telefónica's extensive customer base and diverse service offerings necessitate robust data management and analytics capabilities to stay competitive and meet customer expectations.
The Solution
Customer data from Telefónica’s CRM Datamart is synthesized by MOSTLY AI synthetic data platform, the category-leading synthetic data platform to provide a statistically identical data alternative. The new, synthetic datasets contain none of the original data points, yet provide the same statistical patterns and correlations as the original. The synthetic data version is the only GDPR-compliant way to power analytics and AI projects. By using synthetic data, Telefónica can bypass the limitations imposed by customer consent and data privacy regulations, ensuring that their analytics projects can proceed without legal or ethical concerns. This approach not only enhances data accessibility but also maintains the integrity and reliability of the insights derived from the data.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Vodafone Hosted On AWS
Vodafone found that traffic for the applications peak during the four-month period when the international cricket season is at its height in Australia. During the 2011/2012 cricket season, 700,000 consumers downloaded the Cricket Live Australia application. Vodafone needed to be able to meet customer demand, but didn’t want to invest in additional resources that would be underutilized during cricket’s off-season.
Case Study
SKT, Construction of Smart Office Environment
SK T-Tower is the headquarters of SK Telecom. Inside the building, different types of mobile devices, such as laptops, smartphones and tablets, are in use, and with the increase in WLAN traffic and the use of quality multimedia data, the volume of wireless data sees an explosive growth. Users want limitless Internet access in various places in addition to designated areas.