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MSE 10 at Mobile World Congress 2015

Cisco’s Connected Mobile Experience (CMX) solution employs data from the Wi-Fi network to generate information about devices visiting a venue, which in turn can be used by businesses to gain greater insight into the behavior of their customers and improve customer experience.  At the center of the CMX product is the Mobility Service Engine (MSE), version 10 of which was announced at Cisco Live! Milan.

Mobile World Congress 2015 was another great opportunity to demonstrate the scale at which MSE 10 can now operate. The MSE 10 installation for MWC 2015 was entirely cloud-based and the week’s visitor data was captured using only a single box setup.

In the this blog, we’ll show how MSE 10 was used to generate custom reports during the event to give some interesting insights into how the conference unfolded.

Registration area

Day 1 of MWC begins at 9:00am, when the main doors open for the first time. People begin arriving well before then and waited patiently to be allowed into the halls.  We were able to witness this using a custom report focused on the registration area showing a graph of the number of visitors increasing as opening time approached (Figure 1)

mse 10 1

This was also reflected in the heat map report, where a bright red spot can be observed representing the increasing number of visitors waiting to gain entrance (Figure 2) Read More »

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MSE 10 at Cisco Live! Milan 2015

Cisco’s Connected Mobile Experiences (CMX) solution leverages information from the Wi-Fi network to collect aggregate location data from mobile devices. This can be used to tease out behavioral patterns and trends, which in turn can help businesses make informed decisions on how to improve the visitor experience and boost customer service.

The Mobility Services Engine (MSE) forms the core of the CMX solution. Cisco Live! Milan was an exciting milestone for the MSE development team, as the new version of MSE, 10.0, was officially announced. Among its enhancements are improved scalability and robustness, as well as better monitoring tools. In this blog, we’ll show some real-world examples of what information MSE 10 can provide, as was captured during Cisco Live!.

The New Analytics Dashboard

One of the visible improvements is the redesign of the Analytics dashboard. The dashboard provides reporting capabilities, in which each page can be scheduled at specified intervals to run as a report and be sent to interested parties. Because of this new capability, we now refer to the pages on dashboard as “Reports”.

Each report can have any number of “widgets” – essentially little boxes of information – such as the device count within a certain area, the time spent there, or the number of devices moving between areas. The widgets can be configured to show a set of numbers (ie number of devices detected, new devices vs. repeat visitors, etc.), a graph of specified information broken down by time/place, or data tables.

The most basic and fundamental piece of information CMX can provide is visitor count. In Figure 1 you can see the number of detected devices during one just one of the show days. The dashboard gives not only a very clear overview of detected devices, it also shows a comparison of those devices and where and when they’ve been detected throughout the conference.

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Figure 1 Visitor count for one of the days

Beyond the fundamental data of total visitors, this information can be shown broken down by building, floor, or zone. Figure 2 shows Read More »

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Three Dimensions that Influence Location Quality

Since the earliest maps, location accuracy has always been important. Just one degree off on the high seas and the seafaring navigator could be landing in Cuba instead of Florida. As we progress from GPS to indoor location, the quality of location accuracy is no less critical.

To define the quality of location, we really need to understand the variables that influence location. This is especially true with mobile devices in the mix.

Quality of location accuracy has three dimensions:

  1. Location precision
  2. Refresh rate
  3. System latency

These three vectors are functions of how well the infrastructure is engineered and how the Read More »

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Revamping the MSE User Interface

As part of the WLC 8.0 release, we addressed customer comments and revamped the user interface (UI) for the MSE. We wanted to make it easier for customers using both MSE and PI to adjust to larger deployments. We also wanted to quicken the pace at which we could deliver features to the customers. Today I want to walk you through the landing page and configuration of the new MSE UI.

Landing Page

The landing page is the first thing one sees when logging into  the MSE UI. This page provides the user with a basic snapshot of system health, an easy way to launch the apps, and a quick status of the various services on MSE.

System Health

The new UI highlights important parameters like CPU and Memory usage in order to give the user an indication of the stress being handled by the MSE.

 mseui1 Read More »

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Show Me the Retail Data

retailSuccess in retail often comes down to a counting game.  How many people pass by your store?  How many come inside?   How long do they stay?  And most importantly how many ultimately buy?

Today, the retail counting game has gotten a lot easier because we can now count devices as proxies for people, since many potential customers today, myself included, won’t leave home without their smartphone.  As soon as they enter a store, the beacon on their cell phone effectively announces its arrival to the Wi-Fi network and voilà, we have a count.

With the help of CMX Presence Analytics, these smart devices can help answer many key retailing questions with a single access point.

  • Who?
    Who is passing by the store versus coming in?  Presence Analytics uses both the cell phone’s signal strength as well as the time spent in the area to determine the number of people walking by versus in-store visitors.  Presence Analytics provides simple, quick reports on retail conversion metrics.   You can also track how often visitors return to a store in a given time period can be tracked, which can be key for customer loyalty programs.

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