Data analytics is the process of investigating datasets to find trends and relationships that help conclude the insights they contain Data analytics in the digital age is carried out using specialized systems and software that saves time and reduces bias ID: 962308
Download Pdf The PPT/PDF document "Big data analytics" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
And how do they engage with customers? With nearly endless amounts of data and the resources to collect it, it’s no surprise that retailers are turning to analytics to help them see opportunities they didn’t realize were there before. Retailers are using data analytics to make smarter decisions about their products and services an d how their stores operate. And how do they engage with customers? Here are nine ways the retail sector makes the best use of data analytics . 1) Product recommen dations Determining which products to recommend can be difficult, but fortunately, many tools on the market can help. 2) Facial recognition Facial recognition uses a digital image of someone’s face to create an encrypted mathematical representation. The sy stem compares the representation with stored images in a database, looking for a close enough match. 3) Customer loyalty program To reduce customer churn, retailers often offer loyalty programs. These can be anything from discounts on future purchases to free shipping. 4) Personalized Deals & Discounts One of the most creative ways retailers use data analytics is to provide personalized deals and discounts. 5) Pricing strategies Retailers have implemented various pricing strategies to increase sales and l ower customer acquisition costs. One way is by using data analytics to create personalized prices for different customers. 6) Expansion Of The Existing Store Retailers have the opportunity to create new store formats, like pop - up shops, which can be used t o test new products and ideas. 7) Real - time analysis of customer behavior Using Retail Analytics , retailers can analyze customer behavior in real time and respond in a way that will benefit both the customer and the store. 8) Logistics And Delivery Management System These systems also help retailers improve customer service by making it easier for them to find information about orders and shipments to respond more quickly. 9) Analyzing call center logs Using call center logs to analyze customer service interactions is a good way of determining the quality of your customer service and how satisfied your customers are with their interactions. Conclusion Retail is a competitive industry, and the only way to stay afloat is to use data analytics. In today’s economy, it’s not enough to have a store or online platfor m; retailers need to be able to adapt to what their customers want. For more information about HUMANATA or more please, call us at +1 (343) 552 - 7500 or visit our website HERE; https://humanata.ca/ You can reach us at • 5 - 2164 Montreal Road, Suite 8053, Ottawa, ON K1J 1G4 • Email: hello@humanata.ca • Phone: +1 (343) 552 - 7500