Big data is useless if companies don't have the right processes and infrastructure in place to act on it, according to Disney Theme Parks Merchandise.

Elizabeth Miller Coyne, Managing Editor

January 13, 2015

2 Min Read
Disney: Big Data Means Big Value

Today's big data boom means that companies can know more about their customers than ever before, but according to Juan Gorricho, senior manager, Merchandise Business Intelligence and Analytics at Disney Theme Parks Merchandise, if they don't have the right processes and infrastructure to act on it, the data is useless.

Today Walt Disney Co. (NYSE: DIS) is one of the leaders in using analytics to improve customer experience at its parks through its unique MagicBands which allow guests to access their rooms, purchase goods and services, get FastPass tickets to rides and attractions, and more.

Gorricho is part of the merchandise line of business which manages and runs all the retail operations for Parks and Resorts, one of the five divisions of the company. His 15-strong team supports the parks' retail shops with analytics, demand forecasting, sales analysis and sales forecasting, among other things. He is "passionate about data analytics" and has seen the big data challenge shift over the last year.

With the amount of data being collected skyrocketing and the technology to process and store data being cheaper than ever, technology is no longer the challenge for big data. "The challenge is, 'What are you going to do with the data?'" he says in an interview with The New IP. "Technology vendors and consulting firms do a great job of selling these silver bullet types of approaches, but if you don't have the internal processes, the right people in place to make something out of it, that is going to be the biggest challenge. In my opinion, this is true for small, medium, large companies," he said. (See The Disney Take on Big Data's Value.)

The balance between the data and the people and processes needs to be maintained if businesses are going to extract any real value out of the data. "It all comes down to the people on the processing side of the equation," says Gorricho. "Do they have the right skills to analyze and take action? Are the individual processes mature enough to take action on that data?"

The creation of new C-level jobs such as chief data officer or chief analytics officer, separate from the CIO or CTO, is a step in the right direction of data, governance, security, enrichment and building new business through analytics, he says, adding, "I think, in general, data analytics is becoming a must-have. It's one of those things that that will make a difference in competitive advantage. It's one of those things that as companies realize the value, they will make it part of their core company function so they can leverage it in the way to continues to strengthen their position in the market."

— Elizabeth Miller Coyne, Editor, The New IP

About the Author(s)

Elizabeth Miller Coyne

Managing Editor

Elizabeth Miller Coyne has been a writer and editor for over 20 years with 16 of those years focused on the telecom sector in a variety of capacities, including journalism, corporate communications, public relations, radio show host and more. Formerly editor of Light Reading's The New IP site, she is now leading the content and direction for Light Reading's new online learning community, Upskill U. In January, she was appointed to the NASA JPL Solar System Ambassadors program -- a public outreach program designed to work with volunteers from across the nation to communicate the excitement of JPL's space exploration missions and information about recent discoveries to people in their local communities.

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