From Store to Big Data Storage: Interview with George Shaw of RetailNext on Retail Big Data | RetailNext
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From Store to Big Data Storage: Interview with George Shaw of RetailNext on Retail Big Data


Herb Real
Content Marketing

It’s not as nuanced as it used to be. The RetailNext platform is a “big data” analytical platform, but it’s very much built by retailers for retailers. The last couple of years, we’ve seen a trend in the convergence and integration of data needs from across the retail organization. Loss prevention, marketing, retail operations – all the functions are realizing the benefits of making data-driven decisions, and as such, there is an emphasis on investing in solutions that can be seamlessly integrated and scaled. It’s not an “IT thing” anymore. Rather, it’s a key strategic and tactical decision-making tool across all functions. The RetailNext APIs are pretty robust, and they’re designed to seamlessly integrate, inbound and outbound, to systems. In the end, its about collecting and aggregating relevant data streams, synthesizing and analyzing the data, and facilitating better decision-making.

It’s not as nuanced as it used to be. The RetailNext platform is a “big data” analytical platform, but it’s very much built by retailers for retailers. The last couple of years, we’ve seen a trend in the convergence and integration of data needs from across the retail organization. Loss prevention, marketing, retail operations – all the functions are realizing the benefits of making data-driven decisions, and as such, there is an emphasis on investing in solutions that can be seamlessly integrated and scaled. It’s not an “IT thing” anymore. Rather, it’s a key strategic and tactical decision-making tool across all functions. The RetailNext APIs are pretty robust, and they’re designed to seamlessly integrate, inbound and outbound, to systems. In the end, its about collecting and aggregating relevant data streams, synthesizing and analyzing the data, and facilitating better decision-making.

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