Cisco Blogs


Cisco Blog > Mobility

Cisco Mobility Services Engine with Enhanced Wi-Fi Location Accuracy and Analytics: Best of Interop 2014 Finalist

Cisco has been placing a lot of emphasis on delivering solutions that provide insights and understanding on how customers, patients, visitors and communities interact with their physical environments. Mobility and leveraging mobile devices in the environment has revealed itself as a very powerful way to gather critical business intelligence. This business intelligence is highly impacted by the resolution of the location-data and the demand to improve resolution and accuracy is increasing quickly.  Apparently, this has not been missed by UBM. This year Cisco is honored to be selected as a Best of Interop Finalist for the Wireless award category for our innovations in improving location data resolution calculations.

best of interop 2014

It’s an honor to be recognized for our innovation and technological advancements in wireless, and we wanted to share a bit more about our submission with you.

What are Location Data Resolution Calculations?

Many systems acquire location analytics by relying solely on the probing that occurs from a mobile device to an access point. Unfortunately, this approach is delivering diminishing returns. It puts location analytics at the mercy of the mobile device vendors. What I mean by this is that as mobile device manufacturers look to improve mobile devices in regards to OS, drivers and battery life they are reducing the frequency of the probing from the mobile device. In addition, different mobile device manufacturer use different probing intervals. The need to do this makes sense from the mobile device manufacturer perspective, but it has an impact on the accuracy of the data acquired when representing movement of end users in the physical environment. If a user is recognized when they walk in the environment and then is identified a minute later, there is a lot of movement that can occur in that time.  But the analytics only sees two data points and draws a straight line. Not a very accurate representation.

Cisco is leveraging what we know best, the network, to supplement the device probing. Bringing in network data allows us to gather higher data resolution regarding mobile device movement, equating to a more accurate representations of end user movement in the environment.

Why is This Important? Read More »

Tags: , , , , , , , , , , , , , , , , , , , , , , , , ,

Cisco CMX Analytics & Insights @ #MWC14

mwc3_1Today MWC 2014 came to a close in Barcelona having been another resoundingly successful event.

Mobile operators and Service Providers have displayed ever increasing interest in Monitization of their infrastructure especially via WiFi and Cisco’s CMX solution.

During the week I had many conversations with SP’s from across the world while very different geographies and facing different challenges, a common theme among the meetings was how can Cisco help us find ways to generate new revenue streams and new monetization models.

At MWC we showed various demos that show how this can be achieved and provide many interesting ideas to the customers to help them think about their own businesses and how they may be successfully applied.

One demo was how various components of Cisco’s SP Architecture can improve services and provide montitization opportunities to a fictitious hotel resort chain with wired and wireless small cells, SON &  Analytics all working together. Read More »

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Cisco CMX & Monetization @ MWC 2014

mwc1_1Mobile World Congress 2014 continues this week in Barcelona with record attendances.

Many SP’s are exploring new ways to monetize their network investments, in an earlier posting some of these models were explored. Again this week these topics were again very much to the forefront with Service Providers actively discussing and exploring how to take the first steps to exploit this.

mwc2_2

Hall 3 @ MWC Analytics:

The volume of traffic at the event was very large and as we can see in Hall 3 below, where Cisco along with a number of large companies are located, was very busy this morning.  Read More »

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

CMX, Analytics and Intelligence @ MWC 2014

Mobile World Congress 2014 is underway at Fira Gran Via in Barcelona, Spain.

mwc1_1

As well as providing the WiFi network to the event, which has over 1200 access points covering the 2.6m sq feet  conference venues, Cisco had a number of exciting demos within the booth area in Hall 3.

Cisco’s theme is around utilizing your network infrastructure for business outcomes, being more intelligent, utilizing analytics and delivering capabilities and monetization opportunities.

mwc1_2

Utilizing location based information along with various other network related information interesting dashboards and views of the event are possible. These screens show how using the Cisco open infrastructure various sources of data are combined in to a graphical view of the Fira conference venue during day 1 of MWC 2014. Read More »

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

CMX Analytics: An Inside Scoop on CiscoLive! Milan #CLEUR

cmxclmilan1

Today is the final day of a very busy and successful Cisco Live Milan 2014. Read my initial observations from the event earlier this week.

As the event draws to a close, lets look at some of the location analytics available via Cisco’s Connected Mobile Experiences solution (CMX) and perhaps try to answer some of the following questions about the event.

For this I will just focus on the World of Solutions Show floor -- approximately 800,000 sq feet in size, and containing all the Cisco Booths and the partner displays.

  1. How many people actually visited the world of solutions?
  2. How many people did  the different Cisco Booths attract?
  3. Where was the busiest part of the show floor?

These and other insights can be derived from looking at the business intelligence that emerges from CMX. Read More »

Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,