Big Data Profits for Retailers

Mariyak (Autor)

Buch | Softcover

112 Seiten

2024
tredition (Verlag)
978-3-384-22086-8 (ISBN)

Infos

The retail landscape is undergoing a seismic shift. " Big Data Profits for Retailers " unveils the power of big data and data science to unlock a new era of profitability. We'll explore how to harness customer behavior, sales trends, and market insights to optimize every aspect of your business.This book equips you to make data-driven decisions that transform your operations. Learn to leverage analytics for targeted marketing campaigns, dynamic pricing strategies, and efficient inventory management. Discover how to personalize the customer journey, fostering brand loyalty and boosting sales.Packed with practical strategies and real-world examples, " Big Data Profits for Retailers " empowers you to navigate the retail revolution and unlock a new wave of profits.

Autor

Dr. Mariyak, a renowned expert in Xhosa cultural studies, brings her depth of knowledge to "IsiXhosa Fathering: The Intlawulo Effect." Through years of academic research and community engagement, Dr. Mariyak has gained a profound understanding of Xhosa traditions, particularly those surrounding fatherhood and intlawulo. Her scholarly publications have garnered acclaim, while her dedication to cultural preservation has led her to collaborate with Xhosa communities on initiatives that strengthen families. Dr. Mariyak's passion for fostering a deeper understanding of intlawulo is evident in this book. "IsiXhosa Fathering: The Intlawulo Effect" offers a powerful resource for anyone seeking to navigate this significant cultural practice and its impact on Xhosa fatherhood.

Produkt-Details

• Erscheint lt. Verlag: 7.5.2024
• Verlagsort: uk
• Sprache: englisch
• Maße: 155 x 234 mm
• Gewicht: 201 g
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika
• Schlagworte: Big data analytics in retail • Big data and sales forecasting • Big data for fraud detection and prevention • Big data for inventory management • Big data for personalized shopping experiences • Big data for risk management • Big data for store location optimization • Big data for supply chain management • Big data for targeted promotions • Big data for upselling and cross-selling • Big data for workforce management • Big data to improve conversion rates • Customer segmentation with big data • Retail marketing with big data • Using big data to optimize pricing
• ISBN-10: 3-384-22086-2 / 3384220862
• ISBN-13: 978-3-384-22086-8 / 9783384220868
• Zustand: Neuware