Splunk Lantern is Splunk’s customer success center that provides practical guidance from Splunk experts on key use cases for Security, Observability, Industries, AI, and Cisco. We also host valuable data source and data type libraries, Getting Started Guides for all major products, tips on managing data more effectively within the Splunk platform, and many more expert-written guides to help you achieve more with Splunk.
In this month’s blog, we’re sharing brand new use cases for contact centers, critical data management strategies, and new AI-powered analysis tools. We are also thrilled to announce that Japanese translations are now available on Lantern, making our expert content accessible to even more of our global community! Read on to find out more.
Revolutionizing Contact Center Operations
The contact center is the beating heart of customer experience for many organizations. But managing the complex web of communication tools, cloud infrastructure, and agent workflows can be a daunting task. That’s why we’ve launched a dedicated Contact Center industry page to serve as your central hub for gaining 360-degree visibility into omnichannel customer experience operations. We’ve launched with two use cases that highlight how Splunk software is uniquely positioned to provide visibility and insights into these complex environments. Keep checking back because we’ll be adding more use cases soon!
Monitoring contact center operations with Splunk ITSI: This article explores how to use IT Service Intelligence (ITSI) to monitor health scores for your contact center infrastructure. By correlating technical metrics with business outcomes, you can ensure that issues like dropped calls or high latency are identified before they impact customer satisfaction.
Integrating Genesys Cloud with the Splunk platform: Data silos are the enemy of efficiency. This article shows you how to bring Genesys Cloud data into the Splunk platform, allowing you to analyze agent performance and interaction trends alongside your broader technical stack for a truly unified view.
Mastering Data Management and Efficiency
As data volumes continue to explode, the challenge for many organizations is balancing the need for visibility with the reality of budget, performance, and compliance constraints. If you’re wrangling with these constraints, check out Lantern’s Platform Data Management library - featuring more than 180 use cases to help you optimize, transform, and protect your data. This month, we’ve added several brand new, expert-authored articles to this library, designed to help you squeeze the most value out of every byte of data you ingest into your environment.
- Building a data management strategy: Effective data management starts with a plan. This comprehensive guide helps you understand and implement effective data management strategies by using key capabilities in the Splunk platform, ensuring you have a clear roadmap for what to keep, what to archive, and what to filter.
- Maximizing SVC usage in Splunk Cloud Platform: For Splunk Cloud Platform users, managing Splunk Virtual Compute (SVCs) is key to performance. This guide walks you through how to optimize your workloads so you can improve ingest and search performance, allowing you to accomplish more with the same SVCs.
- Migrating from intermediate forwarders to Edge Processor: Modernize your data pipeline by transitioning to Splunk Edge Processor. This migration guide shows you how to gain better control over data egress, allowing for more efficient filtering and transformation before data even reaches your indexers.
- Deploying use-case based data management solutions: Learn how to move away from a "one-size-fits-all" approach and instead deploy data solutions tailored to specific security or operational needs.
AI and Advanced Analytics Highlights
We’re continuing to expand our AI and integration content to help your team work smarter, not harder:
- Using the Cisco Time Series Model 1.0 on DSDL 5.2.3: Leverage this powerful Cisco-developed model within the Splunk Data Science and Machine Learning (DSDL) framework to predict trends and detect anomalies in your time-series data.
- Using the AI Assistant to examine RUM data: Discover how the AI Assistant can help you query Real User Monitoring (RUM) data using natural language, making it easier for non-experts to find performance bottlenecks.
- Optimizing Splunk MCP with LLM context management: Explore how to manage Large Language Model (LLM) contexts to improve the accuracy and relevance of Mission Control responses.
What Else is New?
Here’s everything else that’s new this month:
- Visualization: Building customized dashboards with the Splunk UI Toolkit
Splunk Lantern – Now in Japanese!
We’re very happy to announce that Splunk Lantern articles are now available in Japanese! To access this language option, use the drop-down in the upper-left of any page in Lantern to switch any article (and many of the page elements) to Japanese.
As you navigate through the site, the content will remain in your chosen language until you select a new one.
At this time, screenshots, videos, and PDF downloads are still only available in English. Additionally, site content is only searchable in English. For a full list of limitations, click here. We hope to offer a more complete translated experience in the future.
As with all Lantern articles, these translations rely on feedback from users like you in order to improve. At the bottom of each article, you can use the feedback button to share any issues or improvement ideas with us. If you’re a Japanese speaker, please give this new feature a try and let us know your thoughts!
We Need Your Support!
We’re very excited to announce that Lantern has been nominated in the CXOne Customer Recognition awards! We have been nominated in the Knowledge Management and Knowledge Innovation categories, recognizing our commitment to helping you unlock the full potential of your data through our innovative, expert-written self-service resources.
If you have a moment, we would love for you to vote for us via this form. You don’t need to fill out the entire form - you can simply vote for us in these two categories and submit. Voting closes April 10th.
You can learn more about the awards here. Thank you so much for your support!
One more thing: To help us keep improving, please take a moment to complete the on-site survey that pops up after you’ve been browsing Lantern for a minute. Your feedback directly shapes the content we build!
We hope these new articles help light the way to your next big data breakthrough. Thanks for reading!
- Kaye Chapman, Senior Lantern Content Specialist for Splunk Lantern
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