Entrepreneurs, retailers, business managers, and anyone trying win a market all need to have a dual focus on the short term future and the long term.
In the short term, you need to manage the business. What items should you order tomorrow? How many visits is your eCommerce store receiving? What will be the cash impact on making payroll next Friday? And, there are plenty of best practices that help you manage the short term.
The long term is less clear. It’s about seeing the forest through the trees, making educated guesses, and preparing your business for whatever might come. You are either disrupting or being disrupted.
This week I’d like to share three articles that look at that longer term future. What trends are you preparing to address?
Becoming a Disruptive Retailer
7 Steps to Consider to Become a Disruptive Retailer
This “article” is actually a compilation of seven short videos–answers to interview questions by retail industry experts. Their responses talk about the kinds of things retailers (big and small) need to be thinking about to prepare for the future.
To the unprepared, their answers may be a little scary. But, to the motivated, intentional retail professional, these answers are an exciting look at what the industry has to look forward to.
Advice for Retail CMOs
5 New Imperatives for Retail CMOs
Retail operations and marketing work hand in hand–and need to work even better together in the future. This article provides a set of advice for CMOs of retail companies, helping them prepare for the future demands of marketing their retail brands.
Marketing is a fast-moving domain. (Take it from me.) This article will help CMOs and marketing managers get ready for some up and coming trends.
Big Data in the Cloud
Retailers Are Marching Toward the Big Data Analytics Cloud
Pardon the “Buzzword Bingo,” but this article makes some important points. Retailers have a real opportunity to transform into data-driven businesses. If you’re a big box retailer, that may be with big data technologies. But, if you don’t have to be huge to be data-driven. (We have a solution to help you do it.)
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