DIGITAL WEBINAR: Breaking down enterprise data silos without breaking the bank

In this Webinar, we will explore how enterprise data practitioners working in key industries such as banking, finance and retail can take back control of their data by creating a single, logical data layer using data virtualization. Attendees will learn how this important technology can not only address challenges such as data silos but also open up new ways to pursue opportunities such as building a customer 360 view, adopting real-time, continuous analytics, enabling IoT analytics, and delivering truly self-service business insights.

November 5, 2018

Date: Sep 21, 2021

Every day companies consume petabytes of data in hopes of surfacing actionable insights; insights that can help them identify and pursue new market opportunities, optimize business operations, construct more adaptive supply chains, or just build a better understanding of customers. Unfortunately, many companies are drowning in data they can’t put to good use. Data silos continue to proliferate; data pipelines remain rigid and fragile; data security, privacy, and governance demands abound; and data itself continues to take on new, challenging aspects and arrive at increasing speeds.

In this Webinar, we will explore how enterprise data practitioners working in key industries such as banking, finance and retail can take back control of their data by creating a single, logical data layer using data virtualization. Attendees will learn how this important technology can not only address challenges such as data silos but also open up new ways to pursue opportunities such as building a customer 360 view, adopting real-time, continuous analytics, enabling IoT analytics, and delivering truly self-service business insights.

Please join Omdia, Denodo, and special guests, the Johannesburg Stock Exchange Limited (JSE) and BITanium on Tuesday, September 21, 2021 for an engaging and interactive sessionKey topics for discussion: The challenges faced by enterprise data practitioners in addressing data integration, ingestion, transformation, governance and security requirements.

Key takeaways: The importance of creating a governed, managed self-service BI and analytics capability The changing role of data virtualization in helping companies assure the availability of real-time data, day in and day out. How data virtualization can create a single source of truth across the organization. Use cases and practical advice on using data virtualization to create new opportunities such as uniting products to deliver a single view of customers, clients, counterparties, etc. Answers to audience questions during live Q&A

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