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The Hyper-Relevant Retailer: From Dark Assets to Dynamic Processes

As I was walking the aisles at the National Retail Federation “Big Show” in New York last week, I was impressed with the myriad of connected, smart solutions now available to retailers. Augmented reality, data analytics, video-enabled in-store robots and warehouse drones, you name it, it was there.

I’m just as dazzled as everyone else by these new technologies, but I believe it is important for retailers to view them within the wider context of making their organizations digital enterprises by taking action on the Internet of Everything (IoE). IoE is the networked connection of people, process, data, and things, and Cisco projects these connections to surge from 13 billion today to 50 billion by the end of the decade. With a total value of $19 trillion from 2013 to 2022, IoE is a profound market transition. Read More »

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Summary: 2014 – Year of the Internet of Things (IoT)

A lot happened in IoT in 2014. About this time last year, John Chambers laid out $1.9T market projection for IoT at CES and that drew significant attention and generated momentum in many industries. Over the year, we saw some real world use cases and innovative companies and technologies at the IoT World Forum in Chicago.  IoT really gained traction across many verticals over the year. While a lot of progress has been made, IoT is still evolving and globally companies and industries are still trying to figure out business models, technology selections and IoT standards. Cisco has led the way on many IoT fronts in 2014 and our own IoT Cisco Champion Pranay Prakash scopes the year and defines it as the Year of the Internet of Things and outlines what’s in store in future.

Read my full LinkedIn article here.

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Making the Last Traffic Jam a Reality

Traffic jams aren’t just stressful—they’re expensive. A recent study by the Centre for Economics and Business Research revealed that in 2013 traffic jams cost the U.S. $124 billion. By 2030, they estimate the annual price of traffic in the U.S. and Europe will soar to $293 billion.

Can we turn this around? I think so. The Last Traffic Jam can happen through the Internet of Everything (IoE) and the increased value that comes from connections between people, process, data, and things. It’s in this highly connected world where we’ll see amazing things happen—including the Last Traffic Jam. Read More »

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In Retail, Insight Is Currency, and Context Is King

Today’s retailers face a rising tide of change, disruption, and challenges, all driven by technology. As their business landscape is upended, many are struggling to adapt to changing consumer behaviors, competition from disruptive innovators, and exponentially increasing complexity.

The source of much of this disruption is the Internet of Everything (IoE). IoE is the networked connection of people, process, data, and things, and Cisco projects these connections to surge from 13 billion today to 50 billion in the next decade. For retailers, that means a sharp increase in the potential channels, devices, and shopping journeys that are available to consumers. Increasingly, retailers must meet new demands for relevant, efficient, and convenient shopping experiences, whether in-store or out.

IoE_Retail_Figure_Journey_3-2

But for traditional retailers, IoE also presents tremendous opportunities. At the National Retail Federation’s “Big Show” in New York this week, I have seen a great openness to change and innovation. As I see it, traditional retailers are ready to step into the IoE era, but they will need the right ecosystem of partners to guide them through the transformation and help them make the right investments.

To better understand these opportunities and the changing competitive dynamics in retail, Cisco recently undertook a comprehensive, three-pronged study consisting of original research, economic analysis, and interviews with retail industry thought leaders. Released this week, the first wave of primary research findings includes 1240 consumer responses from the United States and the United Kingdom.

A key theme that emerged from the research was that today’s consumers demand new kinds of digital experiences, both in-store and out. In our survey, we presented respondents with 19 concept tests — everything from digital signage and same-day delivery to mobile payments and augmented reality. Above all, we found that shoppers seek a hyper-relevant experience — more so than a hyper-personalized one. In short, efficiency and savings are more important to them than personal engagement.

In our survey, 38 percent of respondents identified greater efficiency in the shopping process (e.g., ensuring items are in stock, speeding checkout times) as the area retailers most need to improve. By contrast, 13 percent sought improvements that would lead to a more personalized shopping experience. Read More »

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How To Gain an Edge by Taking Data Analytics to the Edge

In Part 1 of this blog series, I talked about how data integration provides a critical foundation for capturing actionable insights that generate improved outcomes. Now, in Part 2, I’ll focus on the two other challenges that must be met to extract value from data: 1) automating the collection of data, and 2) analyzing the data to effectively identify business-relevant, actionable insights. This is where things, data, processes, and people come together.

Let’s start with automation.

After IoT data is captured and integrated, organizations must get the data to the right place at the right time (and to the right people) so it can be analyzed. This includes automatically assessing the data to determine whether it needs to be moved to the “center” (a data center or the cloud) or analyzed where it is, at the “edge” of the network (“moving the analytics to the data”). Analytics at the Edge

The edge of the network is essentially the place where data is captured. On the other hand, the “center” of the network refers to offsite locations such as the cloud and remote data centers — places where data is transmitted for offsite storage and processing, usually for traditional reporting purposes. The edge effectively could be anywhere, such as on a manufacturing plant floor, in a retail store, or on a moving vehicle.

In “edge computing,” therefore, applications, data, and services are pushed to the logical extremes of a network — away from the center — to enable analytics knowledge generation and immediate decision-making at the source of the data.

Read More »

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