Cisco Cisco 3365 Mobility Services Engine Libro blanco
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Cisco Connected Mobile Experiences Overview
Cisco
®
Connected Mobile Experiences (CMX) Location Analytics uses the data provided by Cisco MSE to
calculate the location of wireless devices that are detected by the access points that support the wireless LAN
(WLAN). This information provides visibility into customer movements and behavior throughout the building and
throughout the day. Cisco CMX Location Analytics determines device parameters such as dwell time (how long
people stay in a specific point), crowding (popular points at which people stay a long time), and path choice (for
example, do people usually turn left or right when coming out of an elevator) and aggregates this information for
common understanding. Businesses can use this information to better understand how their customers interact
with different parts of their buildings or environments.
The Cisco CMX Location Analytics piece of the CMX solution provides venue owners with these benefits:
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Analyze business performance by measuring in-venue actions and improve marketing.
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Document customer movements throughout the venue.
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Increase customer satisfaction through sufficient staffing during peak times.
Cisco CMX Location Analytics helps businesses achieve better facility planning, measure changes in their
buildings and improve their interaction with customers.
Cisco CMX Location Analytics provides real-time location details alongside historical trends, enabling greater
visibility into customer movements and patterns through data trending. IT can use analytics to identify network
utilization, peak use, and the number and types of devices on the network. Lines of business can better
understand the ways that customers behave while onsite by tracking Wi-Fi signals in their venues, documenting
customer movements throughout facilities, and using this comprehensive, context-aware data to engage with
customers more effectively.
The basic data is in the form of MAC addresses, time, coordinates, etc. CMX Location Analytics helps aggregate
and visualize this data to help generate insights about the movement and behavior patterns of the people using
mobile devices in that building. A “building” can be a shop, mall, airport, or city center, provided that it has a
network of wireless access points so that devices moving within that space can be located.
A complete analysis consists of six processes:
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Data cleaning
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Data tagging
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Data filtering
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Data clustering
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Parameter estimation
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Behavior mining