Streamlining the Data Supply Chain: The Intersection of Data Unification, Management and Observability

Streamlining the Data Supply Chain: The Intersection of Data Unification, Management and Observability

In this episode of DataDriven, Venki Subramanian, SVP of Product Management at Reltio, sat down with Ramon Chen, Chief Product Officer of Acceldata, to discuss the critical roles of data observability, unification, and management in enhancing operational efficiency and reliability. They explore common challenges in managing complex data environments and highlight how combining observability with robust data management can drive superior outcomes for organizations. They also touch on future trends, including the growing importance of AI and machine learning in data unification and management. The episode previews DataDriven 2024, the leading industry conference for those solving the biggest data challenges in today's enterprise landscape.

Reltio on Reltio: Driving Innovation with Connected Data

In this episode of DataDriven Podcast, we sit down with Abhi Visuvasam, Head of Enterprise Architecture, Data Management & Analytics Reltio, to discuss how Reltio deployed and uses its own platform to power its business. Known internally as ”Reltio on Reltio” the platform   Discover how Reltio’s employees leverage the power of connected data to drive innovation and improve customer experiences. Abhi shares the strategic vision behind this deployment, which includes building a comprehensive Customer 360 view by integrating data from various sources such as Salesforce, Marketo, Gainsight CS, Zendesk, , and Aha! The discussion also explores Reltio's expansion  into additional domains like Partner 360, Employee 360, Contact 360, and Product 360. Learn how Reltio is becoming a truly data-driven organization by establishing an Enterprise Data Warehouse (EDW) and implementing an Analytics and Visualization Platform. We cover the company's aspirations to harness AI/ML capabilities to gain deep insights across data silos, accelerate growth, reduce costs, and enhance customer experiences. We also touch upon Reltio's initiatives in business process automation, driving cross-functional integration to streamline operations and improve customer satisfaction. Additionally, we discuss the critical role of data governance in ensuring data quality, usability, integrity, and security across the organization. Join us as we explore Reltio's inspiring journey to becoming an intelligent, data-driven organization, and discover valuable insights that can help your own company unlock the full potential of connected data.

Solving the Customer Data Puzzle: How Reltio's Customer 360 Data Product Transforms Customer Data Management

In this episode of DataDriven Podcast, we sit down with Venki Subramanian, SVP of Product Management of Reltio, to discuss Reltio’s groundbreaking new offering: the Reltio Customer 360 Data Product. We'll explore how this innovative solution delivers a unified, actionable, and real-time view of customer data across the customer journey. We'll also explore Reltio's vision for the future of customer data management and how its vision for Data Products seeks to revolutionize how companies harness their data's power. Join us for an engaging discussion on how Reltio is transforming the data management landscape and enabling companies to unlock the full potential of their customer data.

Navigating the Shifting Challenges and Opportunities of Customer Data

In this episode, we sit down with Tim Hayden, CEO and Founder of Brain+Trust, to explore the complex landscape of customer data. We discuss the biggest challenges enterprises face when collecting, managing, and leveraging customer data, and how the field has evolved in recent years. Tim shares his insights on the crucial role of data quality and trust in making customer data actionable and provides strategies for organizations to improve in these areas. We also tackle the impact of privacy regulations like GDPR and CCPA on customer data practices and explore how companies can strike the right balance between personalization and privacy. Finally, we examine the key differences between B2B and B2C customer data strategies and how each can optimize their approach.

Unleashing AI's Potential: Reltio's Innovative Approach to Data-Driven Solutions

This DataDriven Podcast episode features a conversation between Chris Detzel, Director of Customer Engagement and Community and Sushant Rai, the VP of Product Management at Reltio. The discussion revolves around the intersection of AI, data management, and product development. Sushant provides insights into the primary drivers for businesses adopting AI technologies, such as improving efficiency, enhancing decision-making, personalizing customer experiences, and improving business responsiveness. He shares examples of how AI is being utilized across various industries, including manufacturing, retail, finance, and healthcare. The discussion then turns to Reltio's approach to AI and ML. Sushant explains Reltio's three-part strategy: "built for AI," "built-in AI," and "built with AI." He delves into Reltio's Flexible Entity Resolution Network (FERN), a patented technology that provides instant, automated semantic understanding of entity data, enabling high-quality match recommendations with minimal manual effort. Sushant also highlights Reltio's Intelligent Assistant (RIA), a generative AI capability that allows users to interact with Reltio using natural language queries and receive insights, including dynamic visualizations, based on their data. Additionally, Sushant discusses Reltio's product roadmap, which includes augmented entity resolution, automated data ingestion and modeling, and data governance features like anomaly detection and data quality recommendations. The conversation also covers the importance of having a clear AI strategy, addressing challenges like data silos, lack of standardization, and talent acquisition when scaling AI solutions across operations. Overall, the podcast provides valuable insights into Reltio's innovative AI and ML capabilities and offers a thought-provoking perspective on the role of AI in enterprise data management and product development.