ZTT In-Focus: Enterprise data modeling and revenue generation

October 1, 2024
2
mins read

We recently published the thirtieth issue of our Zero-Touch Telecom newsletter. Each article and the companion live interview episodes we broadcast have explored the real work of deploying automation and AI in networks. With 50K+ subscribers to this newsletter, we want to be sure we’re making our growing library of content accessible and digestible for new and veteran readers alike.

Introducing our “ZTT In-Focus” series. These special issues will explore important themes related to automation and AI, and link to the relevant articles and live discussions we’ve published to date.

Our launch issue highlights Enterprise Data Modeling (EDM). We have continuously covered the importance of unified, high-quality data for powering AI and automation in telecom. We know that effective, modern data strategies result in operational efficiency and lower total cost of ownership while providing a pathway to new revenue opportunities. This is how stakeholders prepare to compete in a new era in new ways.

We invite you to read our most viewed articles and watch our live discussions on this theme via the links below for insight into data transformation strategies that deliver maximum operational and business impact.

  • Enterprise Data Modeling for AI-powered telecom (Published March 21, 2024) Data quality and unification are critical enablers of automation and AI-powered operations transformations. This article reveals how fragmented data impedes operators and how a well-structured EDM strategy can help overcome common challenges. Real-world examples demonstrate how enterprise data modeling can drive successful network rollouts and reduce time-to-market for new services. [BONUS: Watch our Zero-Touch Telecom Live discussion on EDM.]
  • A Rakuten Mobile Case Study: Scaling Data Governance Strategies for AI (Published September 5, 2024) Take a look back at how Rakuten Mobile overcame early challenges associated with scaling data governance approaches to support growing AI workloads. A compelling case study outlines steps for designing and implementing a unified data platform, while accounting for issues like siloed data stacks and new AI requirements. This article also discusses the role of governance frameworks in ensuring data privacy, security and organizational buy-in.
  • Designing Enterprise Data Models that Serve the Business of Telecom (Published April 4, 2024) Business-driven transformation is covered in this hands-on article about how telecom operators can align EDM initiatives with business goals. Use cases like personalized upselling and network capacity planning are discussed as examples, emphasizing the importance of owning and operationalizing a tailored data model. It also examines strategies for ensuring data is collected and optimized with a focus on delivering measurable business outcomes. [BONUS: Watch our Zero-Touch Telecom Live discussion on extracting value from EDMs.]
  • Data Strategies That Drive Revenue Growth (Published August 1, 2024) This article delves into Rakuten Symphony’s AI-powered approach to increasing revenue to transform how data is stored, ingested and accessed. It discusses top-down and bottom-up methodologies to strike a balanced approach to data preparation and governance. Use cases like Remote Electrical Tilt (RET) optimization and energy efficiency are covered in the context of how telcos can generate new revenue streams and improve operational performance. [BONUS: Watch our Zero-Touch Telecom Live discussion on data strategies for revenue growth.]

We hope you enjoyed the first issue of our ZTT In-Focus series. What did we miss? Mention Rakuten Symphony CMO Geoff Hollingworth in the comments to start a conversation.

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