Session: How T-Mobile implemented data observability with their platform modernization

Vikas Ranjan, Senior Leader, Data Intelligence & Innovation @ T-Mobile

Vikas joins us to share how T-Mobile has developed a comprehensive strategy for data platform modernization and general engineering best practices from a Tier-1 telecommunication provider.

He will walk through his perspective on how to de-risk data platform migrations and accelerate migration initiatives. Attendees of this session will learn how data observability has helped throughout the modernization journey from a legacy ecosystem to an open source and cloud native platforms such as Databricks and Snowflake.

Go Deeper: Building a data platform to support CSPs' analytics ambitions

Watch the webinar recording here

This recorded webinar explores the options and capabilities that are available to communication service providers (CSPs) as they seek to optimize their data platform strategies.

CSPs have been striving to improve the quality, availability, and usability of their data for many years. But the evolution of IT environments and partnerships are combining to make that task even more challenging.

Data has always been spread across multiple applications and systems but now it is also spread across multiple cloud environments. This makes the task of identifying where issues, or problems, may lie with the data incredibly difficult.

Watch the webinar replay to learn:

  • How to track and manage costs in a multi-cloud environment
  • How and where data platforms need to scale to leverage the potential of data and AI/ML use cases
  • The hidden costs of data quality and reliability
  • The concept of data observability – what it means and what it delivers.
  • Organizational structure and governance to deliver an optimal data platform and strategy


  • Vikas Ranjan - Sr. Manager, Data & Analytics Engineering, T-Mobile
  • Girish Bhat - SVP of Marketing, Acceldata
  • Mark Newman - Chief Analyst, TMForum


Where & when?

Enterprise Data Summit 2023 took place virtually on June 7th, 2023.

What is the cost to attend the virtual sessions?

EDS 2023 is always free and open for all to attend.

What is Enterprise Data Summit?

Data initiatives and priorities are often affected by resources, organizational structure, and data maturity, all of which can be different inside an enterprise-sized company or for teams processing data at scale.

Enterprise Data Summit is an annual day where leaders from large companies looking to succeed with large-scale data systems can explore ways to modernize their data platforms, enable engineering best practices, allocate resources efficiently, and wrangle topics like data observability.

Who comes to EDS?

Data, analytics, AI, data science, and other team and department leadership, engineers and administrators, FinOps, and risk/compliance officers.

Join us for talks that include:
  • Guiding enterprise-level data teams
  • Modernizing data platforms
  • Cloud financial management
  • Succeeding with large-scale data systems
  • Data reliability
  • Resource allocation
  • Use cases for data observability
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Thank you to our 2023 sponsors who made Enterprise Data Summit possible