Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Using Big Data to Keep Retail Alive and Avoid Being Amazoned
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Using Big Data to Keep Retail Alive and Avoid Being Amazoned
Big Data

Using Big Data to Keep Retail Alive and Avoid Being Amazoned

Philip Piletic
Philip Piletic
5 Min Read
using big data in retail
Shutterstock Licensed Photo - By Zapp2Photo
SHARE

No matter what niche a brick and mortar store fills, it seems Amazon is willing to take a chunk out of it. It’s been difficult enough to compete in the world of non-perishable consumer goods sold via the internet, but Amazon’s recent buyout of Whole Foods has shown the lengths the mega-corporation is willing to take to establish itself across the board.

Contents
Learning From the GiantsEmploying Your Big Data Insights

Don’t expect smaller businesses to be able to simply ignore these times of change without paying the price. Amazon is a tech giant with a solid grasp on how important technology is when it comes to serving customer needs. If steps aren’t taken to join the future, expect to be left behind as soon as Amazon nudges its way into whatever niche they see fit to buy into next.

Learning From the Giants

It’s not just Amazon leading the charge into the future of folding big data into a multitude of decisions; Silicon Valley companies are buying into brick and mortar spaces and vice-versa at a pace that hasn’t been seen in quite some time. In a way, the lines between a tech-savvy company and an old-fashioned retailer are starting to disappear. Companies are aggregating data en masse from point-of-sale machines, open WiFi networks and other metadata sources to compile more accurate pictures of what consumers are interested in and how they prefer to shop for those needs.

Similarly, Amazon’s move into the retail space of Whole Foods required just as much data aggregation if not far, far more. After all, they have to juggle customer needs with the sudden takeover of a business with which they have little direct experience in managing, which means the transition phase from one line of management to the next is a sensitive and critical time.

More Read

Big Data, Big Problems

4 Ways Data Can Help Increase KPIs For Dispatch Teams
How Big Data Offers Better Electronic Signature Solutions
Big Data: To Analyze or Not to Analyze
Facebook’s Big Data: Equal Parts Exciting and Terrifying?

Private retailers looking to work under Amazon’s roof or thinking about expanding in a similar way would be wise to study just how the transitional phase took place.

Employing Your Big Data Insights

Collecting the data is but a small step compared to putting that data into action. It’s a fairly common bit of future-gazing to assume we will someday receive packages we haven’t ordered yet delivered to us via predictive algorithms, but we’re still a few steps away from that future while also being leagues ahead of data analytic experiments of the past.

One of the simplest approaches towards putting data into action is to develop predictive analytics to prepare for trends and buying needs before they arrive. While there are obvious trends to follow as seasons change and basic needs shift accordingly, finding out which products pair unexpectedly with those seasons can be an unexpectedly helpful market to tap into. If cold weather brings about a sudden surge in interest towards warm comfort foods and indoor-oriented relaxation, targeting customers with ads that meet those needs and pluck at subconscious desires seems only natural. If done right, not only will this yield higher profits, but will also increase customer loyalty, which naturally snowballs into even higher profits over time.

So while you may not be able to construct a cloud to rival Walmart’s analytics system designed to track the company’s millions upon millions of transactions a day, there is still information out there that can be taken and scrutinized no matter how your system works. For example, clean data scraped through wireless networks in your store can show consumer trends readily without collecting personally identifiable data.

This type of collection isn’t always as straightforward as watching network traffic to glean when consumers check competitor prices and recent sales while in-store, but can offer deeper insights to movement patterns and time spent near retail locations through Bluetooth and WiFi data collection.

So while the looming threat of being pushed out of the market and made obsolete by online giants via being Amazoned isn’t unrealistic, taking steps to adapt to the usefulness of big data in a brick and mortar environment can give even the smallest storefront a fighting chance. Until the day comes where Amazon drones buzz freshly-baked desserts directly to a consumer’s waiting lap without having to physically order, nothing is out of reach of the smaller entrepreneur or business owner who keeps up with marketing shifts.

TAGGED:amazonamazon big dataanalyticsbig databig data in retailretail industrySmall Business
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Philip Piletic
Follow:
My primary focus is a fusion of technology, small business, and marketing. I’m a writer, marketing consultant and guest author at several authority websites. In love with startups, the latest tech trends and helping others get their ideas off the ground. You can find me on LinkedIn.

Follow us on Facebook

Latest News

AI for MSPs
Autotask and ConnectWise Prove the Benefits of AI in IT
Artificial Intelligence Exclusive
gamer laptops
Data-Driven Tips to Choose the Perfect Gamer Laptop
Best Practices Reviews
smart crosswalk
AI Reduces Pedestrian Collisions With Smart Crosswalks
Artificial Intelligence Exclusive News
ai success
How Leaders Can Unlock AI’s Full Potential for Business Success
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

predictive analytics in cms
AnalyticsExclusivePredictive Analytics

The Fascinating Role of Predictive Analytics in CMS Today

6 Min Read
big data in retail
Big Data

Investing in Data Solutions To Streamline Your Retail Business

9 Min Read

Defining Analytics: Data, Information and Knowledge

5 Min Read
big data in gaming industry
AnalyticsArtificial IntelligenceBig DataExclusive

Big Data Helps Gaming Industry Implement Cross-Regional CS Strategies

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?