Türk Telekom - 2025 Customer Recognition Awards: Innovative Problem Solver
Contact: Turk Telecom
Country: Turkey
Award Category: Innovative Problem Solver
Tell us about the business problem you were trying to solve.
The main business problem resolved around optimizing data processing and analytics capabilities while maintaining scalability and performance for large datasets. For Turk Telekom, this includes:
• Handling Massive Data Volumes: As a telecommunications company, Turk Telekom manages vast amounts of customer data, network performance data, billing information, and more. They need a system that can process, analyze, and make real-time decisions with such large datasets.
• Real-Time Insights: The demand for real-time analytics, such as marketing optimization, fraud detection, customer behavior analysis, etc., requires a highly responsive and fast system. With the transition to Single Store, they were looking to ensure faster data processing and real-time analytics capabilities.
• Data Consolidation & Modernization: With multiple data silos, there’s a need to streamline access, storage, and querying of data. They were looking to move to a more unified platform (SAS Viya with Single Store) to improve operational efficiency, reduce system complexity, and lower overall costs.
• Scalability for Future Growth: As Turk Telekom grows; they required systems that can scale without losing performance. The shift from Cloudera to Single Store, along with the upgrade of SAS Viya, achieved preparing the organization for future data challenges and providing a scalable solution.
• Real-Time Insights: The demand for real-time analytics, such as marketing optimization, fraud detection, customer behavior analysis, etc., requires a highly responsive and fast system. With the transition to Single Store, they were looking to ensure faster data processing and real-time analytics capabilities.
• Data Consolidation & Modernization: With multiple data silos, there’s a need to streamline access, storage, and querying of data. They were looking to move to a more unified platform (SAS Viya with Single Store) to improve operational efficiency, reduce system complexity, and lower overall costs.
• Scalability for Future Growth: As Turk Telekom grows; they required systems that can scale without losing performance. The shift from Cloudera to Single Store, along with the upgrade of SAS Viya, achieved preparing the organization for future data challenges and providing a scalable solution.
What SAS products did you use and how did you use them?
In the previous state (SAS Viya 3.5 with Cloudera), Turk Telekom leveraged several SAS Viya components for analytics and decision support, such as:
• SAS Visual Analytics (VA): Used for visualizing data and generating interactive reports for business users. This helps with insights into customer trends, decision process, marketing activities and operational efficiency.
• SAS Data Preparation (SDP): Used for preparing large datasets, cleaning them, and transforming them into a usable format for analytics and machine learning.
• SAS Model Studio and SAS Viya Machine Learning: These products would have been used for developing predictive models for customer behaviors, fraud detection, and other key business operations.
After the upgrade to SAS Viya 4 with Single Store:
• SAS Viya 4 provided an upgraded, more flexible, and cloud-native platform that integrates better with modern technologies. It would improve collaboration across teams, offer more advanced analytics capabilities, and support faster model training and deployment.
• SAS Data Management tools also integrated with Single Store, providing a more seamless and scalable data storage and processing environment.
What were the results or outcomes?
By upgrading to SAS Viya 4 and migrating to Single Store, Turkish Telekom gain several key benefits:
• Improved Performance and Scalability: The shift from Cloudera to Single Store enabled significantly faster query performance, especially for large-scale datasets. Single Store’s architecture is designed for high-speed, real-time analytics, making it easier to scale as the business grows.
• Better Real-Time Analytics: With SAS Viya’s capabilities in combination with Single Store’s real-time data processing, Turk Telekom experienced more timely insights and improved decision-making capabilities.
• Streamlined Data Management: Consolidating various data sources into a single platform reduced the complexity of managing multiple systems, helping Turk Telekom save time, resources, and reduce the risk of data silos.
• Cost Efficiency: The cloud-native architecture of SAS Viya 4 combined with Single Store allowed Turk Telekom to optimize infrastructure costs. They leveraged cloud scalability and pay for resources as needed, which provided significant long-term savings.
Why is this approach innovative?
This approach is innovative for several reasons:
• Seamless Integration of Analytics and Database Solutions: Combining SAS Viya’s advanced analytics with Single Store's high-performance, real-time data processing provides an integrated, end-to-end solution. This unified approach helps organizations move away from fragmented, siloed systems, enabling better cross-functional collaboration and improved operational efficiency.
• Real-Time, Scalable Cloud-Based Architecture: By upgrading to SAS Viya 4 and utilizing Single Store, Turkish Telekom is adopting a more modern, cloud-native architecture that supports real-time data analysis and scaling. The flexibility of cloud solutions, combined with the speed and efficiency of Single Store, makes this a forward-looking approach for a growing organization.
• Focus on Speed and Real-Time Decision Making: The emphasis on faster analytics and real-time insights allows Turkish Telekom to be more responsive to changing customer demands, network issues, or market conditions. This could give them a competitive advantage in terms of customer experience and operational agility.
• Innovation in Data Infrastructure: By migrating from Cloudera (a more traditional data storage/processing system) to Single Store, Turk Telekom is embracing a modern database solution that’s purpose-built for modern analytics needs. This shows an innovative shift towards adopting cutting-edge technology for better performance and data handling.
In essence, Turk Telekom is setting itself up for future success by adopting a more scalable, efficient, and responsive technology stack that allows them to harness the full potential of their data. This innovative approach enables smarter, faster decision-making while optimizing operational costs.
