NRF 2014 was held last week at the Javits Centre in New York City. It’s the biggest retail event of the year where vendors show off the future of the industry to all the delegates both using inspiring key notes and exciting demos on the Expo floors.
2014 and beyond:
It wasn’t too hard to identify that there were some common themes. On Tuesday afternoon I stood on the main Expo floor and just looking around I could quickly see the industry’s top of mind phrases and buzz words popping out:
“Omni channel”,”Onmianalytics”, “Predictive”, “Insights”, “Customer science and Analytics”, “Precise Location Matters”, “Analyze Decide”, “Mobilize”, “Mobility solutions”, “Big data”, “Customer engagement”, “Adaptive offers”, “Personalized customer experience”, “Customer Experience Analytics”
We certainly are entering the era where using data, analytics and personalization is no longer just an interesting notion or “nice to have” for retail – it is now the KEY thing companies MUST do.
And a big common theme is that mobile is exploding and changing things rapidly, so retailers either need to keep up or inevitably fall behind their competitors. Read More »
Tags: adaptive offer, analytics, Big Data, Cisco, content, context, customer, customer science, data, engage, engagement, experience, Industry, innovation, Insights, location, mobile, mobility, mobilize, NRF, nrf14, omni-channel, omnianalytics, personalize, precise location, predictive, retail, revenue
At Cisco, we’re about ready for the NRF trade show being held in New York on Jan. 12-15. We’re at the show expo on Jan. 13-14, and will be featuring four company thought leaders in the highly popular annual Big Idea sessions. Kathryn Howe, retail senior advisor at Cisco, will be discussing one of the industry’s most forward-looking trends – how to utilize omnianalytics that help retailers extract the most data out of omnichannel environments.
Q: The concept of omnianalytics is a new one for many retailers. Can you tell us more about it?
A: In pursuit of the personalized customer experience, retailers are increasingly moving toward omnichannel selling across stores, websites, mobile platforms and applications, phones, kiosks, and so on. Each of these channels adds another layer to the customer experience, and each layer generates a new set of data. These data sets offer a new opportunity for stores to engage with the customer. Omnianalytics is the process of managing and correlating these large amounts of data to transform your business.
Q: Why is this data so important?
A: For the first time in history, retailers can collect truly objective, quantifiable customer data. Traditional shop-alongs, simulations, and focus groups are inevitably somewhat inaccurate, as simply being observed can change shopper behavior. Today’s automated systems, on the other hand, collect completely unbiased information on dwell times, traffic patterns, and other behaviors. They are also extremely scalable, meaning that consistent metrics can be gathered across thousands of stores to provide very high quality data.
Q: What do you think are the most important topics you’ll discuss at NRF?
Knowing which metrics are game changers for your business is the art and science of executing on omnianalytics. We’ll talk about how to get started and how to understand which metrics you need for your business. We’ll also be joined by John Goedert of Starbucks, who provides a wonderful case study on how his company is using omnianalytics to drive consumer interactions.
Time and Place:
“Omnianalytics: Knowledge is Good, Now How Can It Transform My Business?” with Kathryn Howe takes place on Tuesday, Jan. 14, at 1:15-2:15 am, in Room 4 on Level 3 of the Expo Hall. For those who can’t be there, a recording of the session will be available after the show. Visit Cisco’s NRF website to learn more, and do take the time to stop by Cisco booth #1954.
I’ll see you at NRF!
Tags: analytics, Big Data, big data analytics, Big Idea Sessions, consumer, customer experience, John goedert, Kathryn Howe, NRF, nrf14, omnianalytics, retail, retailer, Rose Depoe, shop-along, shopper, starbucks