A typical enterprise generates a flood of information every day in the form of infrastructure and network data, operational and application data, security data, user access data, and more. With the right visualization capabilities, companies can thoroughly examine the multitudes of data they create daily to glean critical insights. The catch, however, is capturing actionable insights without exhausting the human resources of IT. IT teams must leverage advanced machine-driven analytic processes to keep visualization in line with rapidly growing operations data volume and accelerating data variety. Such scenarios are where the ScienceLogic AI platform and new Skylar Analytics solution excel.
Enhancing Data Visualization with the ScienceLogic AI Platform
Data visibility is crucial- after all, you can’t protect, manage, or use what you can’t see. But there’s a difference between simply making data visible and thoroughly visualizing data in the right business and operational context. Simply put, IT operations teams don’t need more data – they need more understanding around data and how it relates to IT assets and operations across the enterprise. For instance, when there are issues, teams need to understand how data can clarify root causes and guide or automate remediation efforts.
Organizations can thoroughly visualize their data with the ScienceLogic AI Platform for IT operations monitoring and management. The platform delivers a powerful combination of capabilities and features that are all designed to work together seamlessly at scale. It delivers unified visibility on a single platform of an organization’s entire hybrid cloud infrastructure, including public and private clouds, on-premises data centers, and edge environments.
The ScienceLogic AI Platform conducts dynamic mapping to clarify asset dependencies, flag issues, and proactively identify potential impacts of changes made to the environment, with comprehensive monitoring of all applications, infrastructure, and networks. IT teams will quickly detect and resolve issues for maximum availability and performance. Further, ScienceLogic applies intelligent automation to routine IT operations tasks like configuration management, provisioning, remediation, and more advanced issues. This enables your technical staff to focus their time on more strategic initiatives aligned with business goals.
As an integrated solution designed to operate seamlessly and at scale in an enterprise’s production environment, the ScienceLogic AI Platform dramatically improves data visualization and observability. This, in turn, better positions data as the foundation for highly advanced analytics processes that ScienceLogic puts increasingly within reach for clients.
Enhancing Analytics with Skylar AI
Empowered with the advanced data visualization capabilities from the ScienceLogic AI Platform, organizations can apply advanced analytics processes for data-driven insights and decision support for capacity planning, resource allocation, and optimization. ScienceLogic makes it easy for organizations to dig deeper into these insights with Skylar Analytics, a proactive analytics platform with AI/ML analytics paired with deep data exploration and visualization tools that facilitate advanced reporting and custom analytics.
As part of ScienceLogic’s new Skylar AI suite, which also includes Skylar Advisor and Skylar Automated RCA, Skylar Analytics instantly takes operations to a new level of analytics sophistication. There’s no need to hire a corps of data scientists or other experts to unleash efficiency, innovation, and customer service excellence from your data. The platform uses unsupervised AI for real-time anomaly detection that identifies unusual patterns in performance metrics and resource data – helping IT teams quickly pinpoint issues and reduce the need for manual investigations and extensive troubleshooting.
Skylar Analytics helps businesses achieve greater efficiency, adaptability, and innovation with “always-on” functionality that ensures continuous monitoring without the need for manual selection of each metric or device. The platform constantly assesses key metrics and critical resources like disk, interfaces, CPU, and memory resources, including timely, high–accuracy statistical analysis, to offer contextual monitoring of these assets and generate automated notifications for user-defined business-critical KPIs.
Throughout, data visualization is enhanced thanks to Skylar Analytics easy-to-use, standards-based, no-code visualization builder. This makes it straightforward for your team to create accessible, intuitive, visual representations of data without coding or arcane configuration. Teams can easily monitor and retrieve both critical and historical data for informed decision-making. Better, they can quickly generate dynamic, responsive charts and dashboards tailored to specific needs. All the while, the platform generates customizable reports to enhance knowledge transfer, support strategic decisions, and facilitate compliance.
Conclusion: Reaping Stronger Insights and Value from Data
The combined benefits of strong data visualization from the ScienceLogic AI Platform and the algorithmic power of Skylar Analytics are greater than the sum of the parts. Taken together, these tools allow clients to unleash the power of data with seamless integration and advanced analytics. The result is high-quality data and insights that drive innovation and value for the enterprise, with demonstrable ROI.
