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Improving Customer Loyalty with Data & Analytics

You don’t win customer loyalty solely by the “wow!” factor. You win simply by delivering on customer promises and resolving everyday issues.

According to research from CEB’s book, The Effortless Experience: Conquering the New Battleground for Customer Loyalty, two major factors affect customer loyalty during an interaction:

  • The first is how much effort is required from the customer to resolve an issue.
  • The second is the skills and efficiency of the customer-service agent.

To positively affect customer loyalty, you need to influence these factors during the interaction, not after it.

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Finding New Directions for Retail: The Ever-Changing Store

Hello, everyone! My name is Anne McClelland, and I am the new director for Cisco’s retail and hospitality sales team in the U.S. I’m excited to have the chance to write for Cisco’s retail blog program, and you’ll be hearing from me regularly sharing some insights, musings, and speculations on trends as well as giving you information about Cisco’s resources for the industry.

One of the interesting discussions that I’m having with our customers right now is about the relationship between eCommerce and the physical store, and how this relationship is being significantly redefined. Retailers are wrestling with how to leverage the store to improve online sales (and vice versa) to create a truly omnichannel buying experience for their customers.

To better align these channels, I’m seeing just how much retailers want to do more with consumer analytics. Retail executives are talking to us about their interest in finding new ways to understand who exactly the shoppers are, who is actually coming in their stores (and who is not), why they are or are not responding to promotions, and when they do buy: what was on their list vs. what was incremental to their planned purchases.  Retailers are also anxious to better understand and leverage the technology at the edge – at the store entrance, on the end-caps, in aisles, on the shelves, and on the goods themselves.

To make this all this magic happen, retailers find they need to upgrade network infrastructures; those who were not ready for all of these potential edge analytics are now finding themselves feeling a bit “behind the times.”  We are hearing that many of our retail and hospitality friends are looking to find creative new ways to light up the aisles and the back office. We are hearing very strategic questions such as, “Do we have too many stores?” “Are we over-invested in inventory and store footprint?” “Is there a way to streamline our operations?”  “Can we better integrate online and brick and mortar to gain efficiencies?”  Many retailers are integrating online delivery and returns to stores, as well as testing new models such as third-party package-delivery firms.  I’ll explore these topics in future blogs.

Meanwhile in the store itself, where the rubber meets the road, how are retailers differentiating today?  Where are the crowds of the people congregating?  Why are they there?  I think of the Apple store in our local mall, I think of the Disney store in Times Square. These stores are literally jammed.  Why is this?  Why is Apple’s store so jammed?  What has the Disney store done to evolve to drive crowds and new business concepts?

Innovation is key: Disney has made a business model around glamorizing the Disney princesses for their customers running “The Disney Princess Store,” including new services, videos, games, products.  They have opened up a mega-category that is a logical extension of what their customers love to do… dress up.  Why aren’t the department stores similarly jammed?  It’s all about innovation; it’s all about thinking deeply about the consumer; it’s about driving brand association and attraction; and it’s about executing on the “theater of retail.”

We’ll be joining Cisco’s partner NCR at the Synergy User Conference, being held June 22-25. I’ll be speaking there on the “Internet of Things: Retail Without Boundaries” and discussing how seemingly futuristic technologies are changing the way retailers interact with their customers – I hope to see you there!

I look forward to getting to know you in person and through this blog in the coming months. In the meantime, I invite you to extend your knowledge by attending our free summer retail webcasts:

  • June 16: “Delivering Successful Store-of-the-Future Experiences,” held at 10:00-11:00 am PT/1:00-2:00 pm ET, with Forrester Research’s Adam Silverman on improving store infrastructures and bandwidth. Register today.
  • July 14: “Make Your Data Meaningful: New Strategies for In-Store Shopper Experiences,” held at 10:00-11:00 am PT/1:00-2:00 pm ET, on new analytics capabilities for retail environments. Register today.

Feel free to connect with me at annmccle@cisco.com.

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Why I Love Big Data Partner Series 4: Distributed Big Data Cluster with Cisco UCS and MapR–Store Locally, Query Everywhere

Next in our series of Why I Love Big Data is Bruce from MapR.  Together, Cisco and MapR are working on a very cool solution for keeping data local, but accessing very quickly.  Also, come by the Connected Banking stand in the Cisco Live World of Solutions and DevNet area to see a demo of the distributed system. You will see how Cisco and MapR can provide solutions for security and data theft prevention to prevent theft of customer’s personal data and financial information.


BruceTwo4x4Bruce Penn, Principal Solution Architect, MapR Technologies
Bruce is a Principal Solution Architect with MapR Technologies.  He has over 22 years of Information Technology experience that includes Data Warehousing, Business Intelligence, Enterprise Architecture, Systems Design, Project Management and Application Programming.  Prior to MapR, Bruce spent 8.5 years at Oracle and was instrumental in helping grow the Oracle Exadata Database Machine business through extensive collaboration with several large enterprise customers.  Bruce was the first Solution Architect to join MapR’s Sales Engineering team and has been solely focused on the MapR Distribution for Hadoop and associated Apache Hadoop ecosystem technologies ever since. Bruce holds a Bachelor’s Degree in Electrical Engineering from Michigan State University.

 

Cisco and MapR have long been partners in the big data market, and with enterprises embracing the Internet of Everything (IoE) and moving towards a truly distributed data center environment, the combination of UCS and MapR provide unique capabilities to simplify this architecture.

Cisco UCS servers provide a powerful foundation for running distributed big data/Hadoop MapR clusters with unparalleled performance, availability, and manageability at the hardware level. The MapR Distribution including Apache Hadoop provides similar robustness at the software level, creating a rock-solid distributed platform for many flavors of IoE applications.

With the advent of IoE applications, data often originates at the “edge” of a system’s network, meaning that devices such as routers and switches in one data center will generate log data locally, while devices in other data centers will do the same creating silos of log data. In order for applications built around this log data to react in real time, they need to access that data as quickly as possible, and often those applications will want to aggregate the data across data centers in order to make decisions quickly, while keeping the data local to the originating data center. It may be important to keep the data local for legal and regulatory reasons, as well as for efficient local queries. With Cisco UCS Servers, MapR Data Placement Control, and Apache Drill, this becomes a simple task.

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Achieving a 3D View of Your Shoppers

If every click made by a shopper on an online store can be considered valuable information, surely every step taken by a shopper in a physical store is also a similar wealth of data. While clearly this is valuable input that many stores would like to have, the means to collect and process it is not available everywhere. This fact has resulted in a significant gap in the information available in an online as opposed to a physical store.

Can the power of Internet of Everything and real-time analytics bridge this gap? Can it help capture the shopper behaviors using sensors in the store? Can real-time analytics at the edge transform this data into shopper insights?

Yes indeed. While we see the need for granular and enhanced analytics, we clearly see that many physical store retailers are yet to start their journey in capturing such shopper insights. Let’s take a 3D view of your shoppers.

3D-shopper-view-Rajesh-blog

You need to gather:

Door Traffic: This is the total traffic coming into your store. This metric is very valuable for understanding loyalty, conversion, staffing needs, and much more use cases as highlighted in the Cisco white paper on Retail Analytics. By filtering new and repeat visitors, we can understand your shopper’s loyalty – but when we bring together this data with point of sale data, it helps us to understand conversion. When we correlate this with marketing campaigns, it helps you get a sense of your store’s and campaign’s effectiveness.

Dwell Time: This is the time that your shoppers are spending in the store and in different areas of the store. It highlights the engagement of shoppers with your products and displays. For example, this metric can be used to understand products that are getting more attention from your shoppers, or can be used to determine more advanced metrics, such as balk rates and predicted wait times.

Demographics: This is the breakdown of segments among your shoppers. The granularity of this data can vary and can provide insights for customer segmentation and the ever changing dynamics of your shoppers, helping you to match shopper preferences and targeted promotions.

While there are no questions about the value of these data to the retailers, achieving it is currently a challenge due to the combination of technologies and sensors required to capture them precisely, effectively, and economically.

The Cisco Connected Analytics for Retail solution focuses on making this journey easier for retailers to capture the data and derive insights. Leveraging Wi-Fi, video, social, PoS, and other sensor data, and bringing together the power of real-time edge analytics, the solution provides retailers a 3D view of their shoppers.

If you are attending Cisco Live 2015 at San Diego, come by to check out the Connected Analytics for Retail solution demo in the World of Solutions pavilion. I look forward to seeing you there!

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Summary: #DigitalTransformation Fueling the Need for Workforce Transformation

In case you missed it, here a summary of Karen Walker’s latest blog on the IoE Blog site that reaches out to all those in the Oil and Gas Industry:

“…we recently published a new report that shows a global oil and gas (O&G) industry awash with disruption, and primed for digital transformation. Low oil prices have upended the sector, spurring an urgent rethinking of strategy by oil and gas executives—and accelerating the adoption of IoE.”

kwalkerKaren Walker, Senior Vice President of Marketing at Cisco and interim CMO, highlights some of the key findings from the report:

“To become agile enough to compete in the IoE Era, the oil and gas workforce must possess a mix of technical skills, industry knowledge, and business acumen. With talent shortages due to massive numbers of professionals retiring over the next few years—and a lack of necessary digital skills among those who remain— O&G firms need to make bold moves to transform their workforce strategy:

  • Extend the reach of existing expertise –Video-based collaboration can help bridge the expected talent gap by making the most of professional expertise that is spread too thin, as well as providing ongoing training throughout the organization.
  • Attract digitally-savvy talent – As up to 50 percent of oil and gas workers prepare for retirement in the next five to 10 years, who will be the next generation of workers that replaces them? An earlier Cisco report showed the next wave of digital transformation will be all about capturing timely, actionable insights from the deluge of data being generated by the Internet of Things (IoT), a key enabler of IoE.
  • Bridge the silos – In addition to analytics expertise, O&G companies will need employees who can see and work across the boundaries between IT and operational technology (OT).
  • Create a culture of innovation – O&G companies don’t compete just with each other for top talent, they compete with the likes of Google and Facebook. The best and brightest data scientists and software engineers want to be on the leading edge of innovation, not mired in “the way we’ve always done it”.”

Read the full blog to find out further insights here:

#DigitalTransformation Fueling the Need for Workforce Transformation

…and, as always, let us know what you think!

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