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why retailers need a centralized data hub

Centralized Data Hubs

What you’ll learn to do: Explain why retailers need a centralized data hub

We will explore some of the key technologies retail businesses have adopted to meet their goals. How do retailers keep track of all of the products they sell? What are the benefits of data-driven information technology? What are the key information systems that can support better business decisions? What are data warehouses and how are they used?


  • Identify some inconclusive methods retailers may use to gather information and make decisions
  • Define retail information system and the data they can store and manage
  • Differentiate between data warehousing and data mining
  • Describe the purpose of UPC, RFID, and QR codes

Methods to Gather Information

Graphic with many business terms and someone holding a magnifying glass over the word "business" to make it appear larger than the surrounding words.

One of the challenges of a retail business is the need to purchase inventory well in advance of customer demand. Traditionally, retailers have relied on observation and even intuition to guide their purchasing decisions. Retailers can do this by listening to customer comments while they shop, noticing out-of-stock conditions on store shelves, visiting competition, and conversing with suppliers to receive (somewhat biased) information.

Beginning roughly in the 1960s, the evolution of marketing as a discipline presented retailers with more interactive techniques to gather information about their customers. They began using surveys, interviews, and focus groups.

Before sophisticated information technology, retailers relied largely on prior activity and this “anecdotal” information on which to understand their customers. Technology was kept in the back room and used for simple business operations. Now, data-driven technology is at the core of retail business.

To run a successful retail business, management must be able to answer questions that only information technology can provide. Which are our most profitable store locations? What products are selling best and are the most profitable? How is our customer base changing its buying pattern? Is our flow of inventory in line with anticipated sales?

Today, the latest data-driven technology has even changed the paradigm from asking what all of our customers will want to asking what EACH of our customers will want.

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