With massive investments in digital infrastructure and emerging growth opportunities, telcos are strategically positioned to shape the future of global connectivity. At the core of this opportunity lies a complex digital ecosystem, both within and across operators as well as the supporting network. Unlocking the potential for growth within this ecosystem, requires leveraging the data that fuels it.
To do this telcos are now faced with the task of addressing the operational complexities of their highly connected and evolving digital landscape. It’s a digital dilemma - how does the business make advancements with more connectivity and data availability and balance these opportunities with the need for heightened cybersecurity and compliance with stringent global regulations.
Adding to these challenges, telecommunications companies are often dealing with legacy systems deeply embedded in their operations. These outdated infrastructures create significant obstacles to adopting advanced technologies such as cloud computing, artificial intelligence, and automation. As a result, these operational complexities and legacy structures make it difficult to leverage new technologies and data effectively, limiting their potential to deliver innovative services, better customer experiences, and explore new revenue channels.
Creating a framework for success through contextualized data
To overcome these challenges, telecommunications companies need modern technology that addresses the interconnected nature of their operations. From managing vast networks of devices, services, and infrastructure to handling customer relationships and partner ecosystems, telcos operate in a highly relational environment.
Graph data models excel in representing and analyzing complex environments and providing context to the data. Graph data models can provide enhanced visibility of data landscapes for telcos by effectively reflecting relationships among devices, users, services, and network components, making complex connections easier to visualize and query.
Legacy infrastructure often hinders the ability to scale and innovate, but graph-based solutions can sit on top or alongside, bridging the gap between outdated systems and new capabilities. By utilizing a graph-based solution and contextualizing data, telcos can modernize their operations, and more easily adopt advanced technology, like AI.
This approach offers the agility, scalability, and performance that telco companies need to navigate digital transformation and adapt swiftly to evolving operational complexities and market demands. Moreover, by treating relationships as first-class entities, graph-based solutions enable faster data traversal, which is essential for speed-reliant critical applications like authorization and fraud detection.
Unlocking the full potential through intelligent data solutions
For telcos to stay ahead in an increasingly complex environment, they must leverage data effectively and securely in order to drive growth. With a contextualized model in place, IndyKite offers a graph-based data platform that enables telcos to unlock the full potential of their extensive data assets. The platform allows businesses to capture data from across the enterprise - as well as B2B ecosystem providing a complete 360° view of both customer and operational data, including the possibility to further enrich the data with provenance and trust scoring.
Additionally, dynamic authorization capabilities allow for granular control of data access, making it easier to govern and secure data in real-time. The complete 360° overview provides a holistic view that not only strengthens fraud detection by identifying suspicious patterns more effectively but also supports the development of personalized services, ultimately enhancing customer experience and unlocking new revenue streams. With IndyKite, telcos can leverage their data for building new applications and services without weakening their security posture.
How to get started
Contextualizing your data and creating the foundation you need for success does not have to be arduous or painful. With the right tooling, you can leverage your data as it is, from where it is, without shifting out anything in your stack.
For a much deeper understanding of the potential of contextualized data in telecommunications, download our comprehensive e-guide today. Learn about the tools and strategies that can drive your business forward.
