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Embedded Analytics: A faster route to modern, data-driven applications

Watch our complete session with Constellation Research on next-gen embedded analytics. From AI-based natural language querying and automated actions and workflows to granular APIs, we explore topics that speed development and power data-driven insights.

About this webinar

Today's most innovative software takes advantage of next-generation embedded analytics offerings that speed development and power data-driven insights and interactivity. Next-gen platforms are API-rich, enabling you to deliver concise and contextual analytics at decision points and transactional interfaces within your apps.

At the cutting edge, they also offer augmented analytical capabilities, such as natural language interaction and low-code/no-code development options that enable analysts and tech-savvy business users to do more with data.

Join this webinar with Doug Henschen, principal analyst at Constellation Research, and Chandrashekar LSP, senior evangelist at Zoho, to learn about next-gen embedding capabilities.

Key takeaways

  • Weave AI-based natural-language querying and rich textual explanations into your apps
  • Drive two-way interaction between app functionality and analytics to enable data-driven action
  • Reduce unproductive toggling between transactional interfaces and separate analytical UIs
  • Harness analytics as triggers for alerts and to kick off automated actions and workflows
  • Tap granular APIs to deliver concise analytics in the context of work
  • Enable users to extend applications and functionality for customized self-service, without coding

About Doug Henschen

Doug Henschen focuses on data-driven decision making. His Data-to-Decisions research examines how organizations employ data analysis to reimagine business models and gain a deeper understanding of their operations and customers. Doug observes that innovative, data-driven applications require a multi-disciplinary approach, starting with integration and orchestration technologies, including next-generation data platforms, continuing through business intelligence and advanced analytics, and increasingly harnessing machine learning and cutting-edge data science.

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