Last month, we proudly announced Connected Analytics for the Internet of Everything (IoE), easy-to-deploy software packages that bring analytics to data regardless of its location. It is a continued part of our commitment to delivering on our vision for fog computing, also called edge computing, a model that does not require the movement of data back to a centralized location for processing. If you’ve been reading my blog, you’ve seen me write about this as the concept of ‘Analytics 3.0’ or the ability to do analytics in a widely distributed manner, at the edge of the network and on streaming data. This capability is unique to Cisco and critical for deriving real-time insights in the IoE era.
To perform analytics using a traditional computing method, once data is generated it is aggregated, moved and stored into a central repository, such as a data lake or enterprise data warehouse, so it can be analyzed for insight. In the IoE, data is massive, messy, and everywhere – spanning many centralized data repositories in multiple clouds, and data warehouses. Increasingly, data is also being created in massive volume in a very distributed way…from sensors on offshore oil rigs, ships at sea, airplanes in flight, and machines on factory floors. In this new world, there are many problems that arise with the traditional method – not only is it expensive and time consuming to move all of this data to a central place, but critical data can also lose its real-time value in the process. In fact, many companies have stopped moving all of their data into a central repository and accepted the fact that data will live in multiple places.
Analytics 3.0 creates a more appropriate model, where the path to derive insight is different by combining traditional centralized data storage and analysis with data management and analytics that happen at the edge of the network…much closer to where the huge volume of new data is being created. Analytics involves complicated statistical models and software, but the concept is simple…using software to look for patterns in data, so you can make better decisions. It makes sense then to have this software close to where data is created, so you can find those patterns more quickly…and that’s the key concept behind Analytics 3.0. Once it’s analyzed, we can make more intelligent decisions about what data should be stored, moved or discarded. This model gives us the opportunity to get to the ‘interesting data’ quicker and also alleviates the costs of storing and moving the ‘non-interesting data.’
Analytics 3.0 is not about replacing big data analytics, cloud analytics and other centralized analytics. Those elements are all part of Analytics 3.0, but they are not sufficient to handle the volume of massively distributed data created in the IoE, and so they must be augmented with the ability to process and analyze data closer to where it is created. By combining centralized data sources with streaming data at the edge, you will look for and find new patterns in your data. Those patterns will help you make better decisions about growing your business, optimizing your operations or better serving your customers…and that is the power of Analytics for the IoE.
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Tags: analytics, Big Data, cloud, connected analytics, data, Internet of Everything, IoE
It’s NRF time again! NRF, the retail industry’s biggest conference, is back in NYC this week. Big data and analytics are still top of mind this year in retail, but the hot topic added to the mix is the use of beacons powered by Bluetooth low energy (BLE), enriching your engagement with customers and helping you make smarter business decisions.
Once again, Cisco Connected Mobile Experiences (CMX) is here at NRF this year. We’re ready to show you how you can leverage real-time analytics, location innovations (including BLE technology), and our app development platform to optimize operations, boost customer satisfaction, and increase revenue.
If you’re coming to NRF this week, check out our demos at Booth 2052 and learn how Cisco CMX can transform your retail business.
Tags: analytics, beacons, BLE, cmx, mobile, mobility, National Retail Federation (NRF), NRF, retail
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.
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 »
Tags: #nrf15, analytics, CCS, Cisco, Cisco Consulting Services, connected retail, data, digital, hyper-relevance, innovation, Internet of Everything, internet of things, IoE, IoT, Joseph Bradley, National Retail Federation, NRF, retail, shopping
Cisco will be featured in two Big Idea sessions at this year’s NRF conference starting tomorrow, and I’m happy to introduce guest blogger Lisa Fretwell, who will be leading one of these two seminars. Lisa is the Managing Director of Retail at Cisco Consulting Services, specializing in the Internet of Everything and analytics, and how these new capabilities can transform and differentiate retail and consumer product businesses:
In today’s digital era, stores are clearly challenged in terms of sales and profitable growth. Every retailer is faced with needing to change and innovate their store to deliver results.
Overall, the majority of stores across all categories are demonstrating flat or declining like for like, exacerbated by price deflation. Cisco’s recently concluded annual survey on shopper behavior of 10,000 shoppers highlights the ongoing shift away from the store to online. Twenty percent of consumers now make more than 50% of their purchases online, and this number is expected to continue to grow.
However, when you dig down into the data, you may be surprised by some of the changes. As just one example, we asked shoppers which categories they had significantly moved from store to online. We learned that 41% of the consumers surveyed have somewhat or significantly increased their online purchases of apparel in the last two years – clothing, shoes, and accessories. Traditionally, these products are the life blood of why shoppers go to a store – to touch, feel, try on.
So is it all doom and gloom for shops? No, not if you’re up for innovation and change. There are still significant reasons for shoppers to visit stores. Our research highlights some key insights that retailers must leverage to drive healthy results and make the store experience hyper-relevant.
Our experience from retail engagements suggests the answer lies in two areas: being able to deliver dynamic experiences, and to improve ways of working. From instant response to customer needs to improved process digitization, we are seeing that retailers are increasingly relying on a combination of sensors, analytics, automation, cloud, and edge computing.
If we apply this model to a $20 billion turnover retailer with 900 stores, Cisco estimates that there is $312 million of incremental benefit to be had: $170 million from digitizing ways of working: staffing optimization, store routine digitization, and colleague collaboration; plus $142 million from improved customer conversion through insight, digital offers and loyalty, service, and cross-channel selling. We believe this approach offers the next much-needed step change in store economics.
To learn more, please join us at NRF on Sunday for Cisco’s Big Idea sessions:
- The first, at 10:15 am in Room 4 of the Expo Hall, covers more on our annual survey results. It is led by Cisco Vice President Joe Bradley (replacing Anabelle Pinto due to a family emergency).
- Then, at 2:00 pm in Room 4, Cisco’s Shaun Kirby and I will discuss how retailers are taking advantage of the “Internet of Everything: New Horizons in Retail.”
We look forward to seeing you there!
Tags: #nrf15, analytics, automation, Big Idea, Cisco, cloud, customer experience, Dianne Lamendola, digitization, edge computing, NRF, retail, sensors, shopper, shops, survey
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”).
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 »
Tags: analytics, connected analytics, data, data analytics, edge, edge analytics, edge computing, future workforce, Internet of Everything, internet of things, IoE, IoT