Product
Juniper Mist Premium Analytics
Juniper Mist Premium Analytics is a cloud-based subscription service that provides end-to-end network observability and business intelligence to IT networking and line-of-business users. It is the only service of its kind to offer long-term data storage for full-stack network and location insights.
Easy-to-use dashboards give networking teams client-to-cloud visibility, enabling them to quickly identify and address issues, plan their IT infrastructure, and manage resources. Professionals in vertical markets such as retail, healthcare, hospitality, and education can quickly analyze guest behavior, such as visits, dwell time, or movement between zones over long-term time periods. Facilities managers can obtain insights to help them manage occupancy and assets and to optimize space.
Key Features
- Up to 13 months+ of data storage
- Report scheduling
- Ingestion of Mist AI-driven data
- Optional 3rd-party data ingestion
- Ability to mix/match data sets
- Simple, preconfigured dashboards
Features + Benefits
End-to-End Network Observability
Obtain insights across the entire network – wireless, wired, and WAN – to optimize end-user and client experiences.
Line-of-Business Insights
Use location data, such as engagement and occupancy analytics, to enhance product placements, real estate planning, staffing, and other business decisions.
Long-Term Historical Data Storage
View data going back up to 13 months or more to identify trends and perform long-term historical time series analyses of network, app, employee, and guest behavior.
You can also see employees’ usage of conference rooms or identify heavily congested areas over one year or longer.
Orchestrated Performance Queries
Optimize network performance and application delivery by correlating and analyzing data across the Juniper Mist cloud architecture and third-party networking devices and by customizing queries of WAN performance from campus to branch.
Customer Segmentation and Reporting
Gain insights into workforce traffic patterns and visitor traffic flows to help manage network resources and workplace safety, see employees’ usage of conference rooms, and identify heavily congested areas.
A Magic Quadrant Leader
Gartner positions Juniper Networks as a Leader and furthest in Completeness of Vision in the 2023 Gartner® Magic Quadrant™ for Indoor Location Services.
See why we're a Leader in this report
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CUSTOMER SUCCESS
Dartmouth Transforms Campus Experience with AI Insights
Universities are under pressure to meet student expectations for fast, pervasive, and reliable access to the applications they need, no matter where they are on campus. To deliver an amazing service experience, Dartmouth turned to a network powered by Mist AI and automation.

Premium Analytics
Juniper Mist Premium Analytics is a cloud-based subscription service that offers end-to-end network observability, giving IT and line-of-business users unique network and location insights.
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Marvis VNA
Meet Marvis, the first virtual network assistant (VNA) purpose-built with Mist AI for enterprise WLANs, LANs, and WANs. It fundamentally transforms network operations from reactive troubleshooting to proactive remediation through self-driving actions.
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Wi-Fi Assurance
Driven by Mist AI and machine learning, the Wi-Fi Assurance cloud service automates troubleshooting and operations, making wireless networks predictable, reliable, and measurable while providing near-real-time visibility into user service levels.
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Why Juniper is outpacing the competition
See Mist AI in action
Find Premium Analytics in these solutions
Wireless Access
AI-driven automation and insight, coupled with the agility and reliability of a microservices cloud, deliver optimized wireless access experiences and simplified network operations.
Indoor Location Services
Juniper Mist Indoor Location Services use virtual Bluetooth LE (vBLE) to enable businesses to provide location-based experiences that are engaging, accurate, real-time, and scalable.
Gartner Magic Quadrant for Indoor Location Services, Tim Zimmerman, Annette Zimmermann, February 21, 2023.
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