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The Summer Blockbuster You’ve Been Waiting For: Cisco Wireless Release 8.0

Cisco Wireless Release 8.0 is now available: Product Bulletin 

The Cisco VNI Global Mobile Data Traffic Forecast, 2013 – 2018 revealed some stunning trends with growth projections that are sure to have a dramatic impact on wireless networks worldwide.

In 2013, globally, there were nearly 22 million wearable devices generating 1.7 petabytes of monthly traffic. There were about 7 billion mobile-ready devices and connections with mobile network connection speeds that have more than doubled, to 1.4Mbps up from 526 Kbps in 2012.

By 2018, there will be more than 10 billion mobile-ready devices and connections. The average mobile connection speed will nearly double, from 1.4 Mbps in 2013 to 2.5 Mbps and over 4.9 billion devices will be IPv6-capable. There will be more traffic offloaded from cellular networks (on to Wi-Fi) than remain on cellular networks.

white_paper_c11-520862_4 Read More »

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Rocky Mountains High On Data Virtualization

I recently returned from my seventh annual Boulder BI Brain Trust presentation. The BBBT as everyone likes to call it, is unique in the business intelligence, data and analytics industry.

Since 2006, the BBBT has advanced this industry by organizing half-day vendor presentations to their over 140 members.  During these presentations, vendors such as the Cisco’s Data and Analytics organization, update BBBT members on new strategies, evolving technologies, customer adoption and more.  In return the vendors get valuable feedback from the BBBT’s global network of analysts, consultants and academics.

Cisco’s Expanded Data and Analytics Portfolio

Mike Flannagan, General Manager of Cisco’s Data and Analytics Business Group, led off this year by identifying four key trends creating new business opportunities for our customers, as well as disrupting their traditional data management approaches.

  1. Increased speed of business and rising customer expectations
  2. Data is the new competitive battlefield
  3. Data is increasingly distributed
  4. Data at the edge volumes are extreme

Mike then discussed the coming together of Cisco’s data and analytics portfolio over the past year in order to comprehensively address these trends. These solutions include:

  • Cisco Data Virtualization, added to the portfolio a year ago when Cisco acquired Composite Software.
  • Cisco Prime Analytics, the former Truviso products.
  • Cisco Data In Motion, from the TigerMe acquisition.
  • Cisco Connected Analytics, a set of packaged analytics applications targeted for specific market segments including retail, healthcare, service provider, city infrastructure, call center, and more.

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Billions of Devices Generating Even Bigger Data

Following Mike, Jim Green, CTO for Mike’s group, discussed the data and analytic implications that will result as 30 billion additional devices connect over the network within then next five years.

The business outcome and analytics opportunities from these devices are endless.  However the data volumes generated will make even today’s big data seem small. And how all these come together in an already complex data landscape is an Internet of Everything challenge everyone will soon face.

Data Virtualization Advances

Kevin Ott, General Manager of the Data Virtualization Business Unit, and I closed out this year’s BBBT with updates on data virtualization market dynamics, customer adoption trends and our product strategy for maintaining product leadership in this increasingly important foundation technology.  Join us at Data Virtualization Day on October 1, 2014, in New York City where Cisco, our customers and prominent analysts will share more on these topics.  Sign up soon as space is limited. #DVDNYC

Gain a BBBT Insider’s View

Check out these three sources to gain an insider’s view on Cisco’s BBBT presentation:

  • Listen to Mike Flannagan and Jim Green’s podcast with BBBT co-founder Claudia Imhoff.
  • Read acknowledged data warehousing pioneer and BBBT member, Barry Devlin’s blog.
  • Review over 100 tweets from BBBT members by filtering on #BBBT.

Learn More

To learn more about Cisco Data Virtualization, check out our page

Join the Conversation

Follow us @CiscoDataVirt.

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Indoor Wi-Fi Location and Beacons: Better Together Part 2

wifibeaconLocation-based services have been getting a lot of attention lately and people are increasingly curious about how Wi-Fi and beacons play together in the hot space that is indoor location technology. In my last blog I reviewed how beacons work and how to differentiate when to use Wi-Fi and beacons. There’ve been some great questions about beacon technology and how it complements Cisco’s location-based Connected Mobile Experiences (CMX) solution, so I want to follow up on these topics with everyone.

What types of beacons are there?

Generally, there are two different classes of beacons: transmit only and backhaul enabled.

Transmit only beacons are exactly as they sound -- they simply transmit information to anyone that is capable of hearing (bluetooth enabled smartphones). They do not receive or pass any data or information upstream.

Apple’s iBeacon is the best example of this type of BLE beacon. You can think of them like the navigational beacons used by airplanes when on approach to major airports. The beacon doesn’t even know the plane is there, but the plane is aware of the beacon and knows where the beacon is allowing it to take the correct action. Same is true for smartphones and transmit only beacons like iBeacon -- the intelligence is located in the mobile application which must recognize the beacon and take appropriate action.

Backhaul enabled beacons generally include a Wi-Fi chipset for either management or data capabilities. Some backhaul enabled beacons are USB enabled and take advantage of whatever connectivity exists within the PC they are connected. Read More »

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Analytics: A New Model for Creating Great, Personalized Customer Experiences

While certainly exciting, buying a new house, can also serve as a revealing exercise in understanding data science.

A couple of weeks ago I went to my bank to investigate my financial options for buying a new house. To my surprise, my account manager gave me a stack of paperwork to fill out—and I soon realized that my bank was already in possession of 90 percent of the information I was being asked to provide. So why was I having to take the time to fill in information the bank already had, or could easily acquire?  And more importantly, why couldn’t my account manager quickly access information about my client status and my personal preferences, and immediately provide a tailored offering, decreasing the chance that I would look elsewhere for this service?

Figure 1. Centralized, Decentralized, and Distributed Networks. A distributed, virtualized approach to database management enables quick combination and analysis of large volumes of data—where and when it is needed.

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Source: Paul Baran, Rand Corporation.

I wrote in one of my recent blogs about the issues and solutions related to quickly combining data that comes in large volumes by focusing on data virtualization and cloud. This can enable seamless customer interactions and decrease client churn, be it in financial services or in the telecom sector. But what is required at an organizational level so that people, process, data, and things come together to enable a superior customer experience and create entirely new revenue possibilities?

Read More »

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The Key to Success in Tracking Mobile Devices: Symbiosis, Not Espionage

As a shopper enters a store, the retailer uses Wi-Fi to track her movements, interests, and shopping habits, providing a treasure trove of insight valuable to merchandising and product development alike.

And as advances in Wi-Fi promise increasing location precision and beacons promise pinpoint location based services, the future appears to be smooth sailing, right?

Well, not exactly.

Tracking the position of mobile devices accurately and correlating to personal data has been one of the most sought after Big Data objectives. And not just for retailers — the potential wealth of business value from data has drawn piqued interest across nearly all industries.

Yet in the real world, issues arise from both technology challenges and privacy concerns alike.

Technology challenges include:

  • Typical Wi-Fi accuracies in the 7-to-10 meter range (though Angle of Arrival and improved location analytics promise dramatic improvements)
  • Infrequent mobile device probing to conserve battery power
  • Interference from metal shelves & fixtures, water in products (and people!)

Privacy qualms speak to the heart of transformation in the Internet of Everything (IoE) age. IoE, after all, is the explosion of network connections among people, process, data, and things — and promises to be one of the most impactful periods of change in our history. And the people element is in some ways the whole point — to make our lives better, healthier, more efficient, and so forth. But the people issues will be just as challenging as those that arise around technology. Read More »

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