Mist Premium Analytics

Accelerate Your Digital Transformation with End-to-End Visibility and Business Insights

Enterprises are rapidly modernizing their IT to support the various initiatives to enable digital transformation. Implementing the latest connected enterprise with service robots, enabling remote access capabilities and supporting business re-openings with new social norms, and gathering enduser insights for their multi-channel retail campaigns, networking teams are overwhelmed by these growing demands. Ultimately, for networking teams, digital transformation is now an ongoing priority.

CHALLENGE

In supporting their company’s digital transformation initiatives, today’s enterprise networking teams are constantly running on a treadmill of sorting through multiple monitoring systems to track the performance of different applications, services, systems and networks, whether they are on-premises, in the cloud or both. No matter where they are in their digital journey, networking teams have realized the following challenges:

  • Access to data is kept in silos, whether across disparate systems or organizations
  • Filtering and accessing analytics via legacy systems today are costly, slow, and inefficient
  • Absence of rapid and actionable network business insights

SOLUTION

With Mist’s Premium Analytics Service, enterprises can get benefits of the network IQ to succeed in their digital transformation journey. It offers endto- end network visibility and unique data driven insights to help networking teams accelerate their enterprise’s digital journey.

Mist customers, who are using the built-in analytics service that provides historical reporting for up to 30 days of data, can now also benefit from this new complementary subscription to view their network throughput peaks or identify repeat visitors (customer or employee) to properly align their support resources (on-demand assistance or support public safety). To extend these capabilities to 3rd party network elements, data consumption term up to 12 months or longer, specialized solutions like user journey mapping or proximity tracing, along with the option to generate customized reports, the Mist Premium Analytics service is available as a subscription.

Networking Insights

To ensure IT assets and controls meet the business expectations for your digital business, end-to-end network visibility, continuous monitoring and actionable insights are critical. This involves not only identifying network infrastructure misconfigurations and issues, but also addressing deficiencies impacting applications, end users and clients.

As a Mist Wired or Wireless Assurance subscriber, networking teams have the networking insights to effectively identify and solve sub-par experiences for their end-users and clients, as it pertains to the Mist Cloud managed network. Other customers utilize client and traffic utilization insights for better planning, resource management and public safety. Customers, who have multivendor network stacks and require end-to-end visibility on traffic utilization, application performance, network health, can now benefit from Mist Premium Analytics service. Here are some sample networking use cases:

  • Monitoring and Behavior Reports for Applications and Clients
  • WAN Visibility for Link QoE & Application QoE
  • Ingestion and reporting from Juniper and other 3rd Party Network Devices (Not managed by Mist Cloud)

Engagement Insights

For leading enterprises, customer or employee engagement has become a top priority with their digital transformation initiatives. Whether analyzing retail traffic flows and space utilization in the carpeted enterprise, optimizing staff operations, or real time reporting on congested areas, enterprises from different verticals want network data insights to drive decisions around staffing, product and services placement, real estate planning and proximity tracing.

By leveraging Mist’s location services1, both built-in to the platform and through our complementary technology partnerships, Mist Premium Analytics enables networking teams fast access to business insights that support requested analytics on customers and guests. Enterprises, who choose to segment their end users and subscribe to Mist’s User Engagement or Asset Visibility services, will see areas where customers visit and drive more interactions with associates and customers, leading to higher basket size.

Retailers are seeking digital platforms that provide data insights to support industry best practices like cross-selling and omni-channel initiatives or day-to-day practices like social distancing. To learn more about Mist’s business continuity use cases that support new social practices at work, please visit https://www.mist.com/contact-tracing. Popular engagement analytics use cases include:

  • Visitor Segmentation and Trends with Dynamic Categorizations
  • Unique Visitor Trends with Popular Motion Flows
  • Ingestion and Customized Reporting with 3rd Party Data

NETWORK IT USE CASES

Network Analytics
Network Analytics Basic Premium Analytics
Networks Insights on Wired and Wireless Y Y
Security Insights – Rogues and Honeypots Y Y
Client Connections – Trends and Counts Y Y
Application Visibility from Mist Wireless Y Y
Queries (Rank, List, Trend and Count) Y Y
Custom Queries – e.g. Unique devices on multiple WLANs – trend and counts Y
WAN Visbility for Link QoE and Application QoE Y
Ingestion and Reporting from Juniper Network Devices (Not managed by Mist Cloud) Y
Ingestion and Reporting from 3rd Party Network Devices (Not managed by Mist Cloud) Y

LINE OF BUSINESS USE CASES

Engagement Analytics
Engagement Analytics Basic Premium Analytics
Visitor Segmentation and Reporting Based on User Defined Dwell Times Y Y
Dwell Time – Trends and Averages for Pre-defined Labels for Visitor Segmentation Y Y
Unique Visitor Trends Based on Pre-defined labels for Visitor Segmentation Y Y
Dwell and Visits Per Site, Floor and Department Y Y
Visitor Segmentation Between New and Repeat Based on a Fixed 7 Day Rolling Window Y Y
Heatmaps – Real Time and Historical Replay and Visits and Dwell Y Y
Visitor Segmentation Between New and Repeat Based on Flexible and Configurable Time Duration Y
Data Segmentation and Reporting Based on Dynamic Aggregation of Dwell Times for Visitor Segmentation Y
Dwell Time – Trends and Averages for Dynamically Defined Labels for Visitor Segmentation Y
Unique Visitor Trends Based on Dynamically Defined Labels for Visitor Segmentation Y
Ability to Re-process Historical Data Sets-based on Changes in Criteria Y
Popular Motion Paths – Traffic Flows Between Zones Y
Ingestion and Reporting with Location and 3rd Party Data (Sentiment, Weather, PoS, etc.) Y