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Quick Look Analytics

One of the many great attributes of Connected Mobile Experiences (CMX ) is that it offers a rich location analytics solution. With advanced capabilities like Path Analysis and Correlation, zone-based reporting relies on a minimum of three or more access points which seamlessly detect and report the received signal strength (RSSI) of a client. In simplistic terms we can say that CMX triangulates the location of a client.

Unfortunately (and realistically) not all venues are equipped with 3 APs. Many of our customers, have a large number of satellite offices . Imagine a popular coffee chains or even well known financial institution, who have small branch offices or stores spread across the country. They too need insights into their customer’s behavior, even if they don’t have multiple AP’s

To address the needs of businesses with smaller sites and wireless deployments not designed for location accuracy, we’ve developed Quick Look Analytics, which provides priceless customer insights for businesses like those very coffee shops and financial institutions, earlier mentioned.

 

There are numerous facets of Quick Look Analytics, here are a few of my favorites:

  1. The Banner visually shares how effectively the business is performing and reaching targets. It provides, if you will, a sort of Key Performance Indicators.

quick look analytics 1

 

  1. Key Insights provides a clear look into business peak hours, days, weeks, and months.

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MSE and CMX: What’s the Difference?

As you probably know, Cisco Connected Mobile Experiences (CMX) enables businesses to develop engaging mobile experiences with personalized guest onboarding, engagement, and location analytics. CMX leverages Wifi network intelligence and provides IT departments the creative opportunity to produce new revenue-generating, end-consumer solutions.

But I’m often asked what the difference is between MSE & CMX. I’m likely to blame for some of the confusion since I use the terms “MSE” and “CMX” interchangeably. Let’s clear up the confusion once and for all with a breakdown of MSE and CMX.

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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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Top Coders Win Cisco CMX Mobility Challenge

Over 30 registrants competed in an online global Cisco developer challenge to use the CMX Mobility Services API and CMX in a new app using a simulated environment for a meeting host to automatically launch a WebEx conference, based on the location of the conference room where the meeting is scheduled.  Guidance was provided in a previous blog post, which you too can use to develop innovative applications to create your own Connected Mobile Experience.

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Numerous impressive submissions demonstrated how straightforward it was to create a new mobile application using the CMX APIs and SDK.  The winning entries submitted code, a video demo, and a read me file, which together conveyed their work using real-time location updates to trigger a context-aware push notification.

First place entry from a brand new TopCoder member “gitsIndonesia” received a check for $1500. It included very clean Android Java code which was well-designed and easy to follow, while applying object-oriented practices. It provided a great example of how to build a new location app from the ground up using the CMX APIs with no changes required for the server simulator since the client (the app) was used for location polling. Read More »

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