Cisco DNA Spaces identifies
potential issues in input data
streams and triggers alerts
We identify the following issues:
Cisco DNA Spaces uses a machine learning
process to identify industry specific
insights based on visitor classification
We isolate core groups across specific industries to allow for more relevant data.
We extract non-core groups who are likely to significantly skew data sets.
We avoid duplication of data when users have multiple devices.
Cisco DNA Spaces normalizes
metrics to ensure comparability
We convert absolute data to relative data and normalize customers’ size factor. Customers are able to benchmark and compare property performance to gain valuable context.
Cisco DNA Spaces
standardizes metrics to
increase business relevance
Our location hierarchy feature helps customers manage and group their network based on region, brand, zones, etc. The level of context in reports is dependent on the hierarchy structure.
We process reports differently across industries to increase data relevancy for customers.