Retailers and eCommerce players grapple with unprecedented challenges of globalization, regulation, increasing costs, and above all demanding customers. In addition to these changing market conditions, the growth of multiple channels to reach out to customers has definitely taken a toll on brick and mortar store operators and eCommerce giants.
The continuous rise of big data, growth of eCommerce, and increased usage of social media are a few of the drivers boosting the growth and adoption of data quality tools in the retail and eCommerce vertical. The vertical is generating unprecedented amount of data from social media, where consumers are openly sharing ideas and opinions with friends through numerous networking platforms. The data can be captured from these places, integrated together, analyzed, and valuable information can be extracted to meet customer demands, increase sales, improve business performance, and thereby have a differentiating edge over the competitors.
Harnessing of big data to gain superiority over their operations and streamline business objectives is a compelling case for retailers as well as eCommerce players to implement a robust data quality program. Denim retailer Buckle wanted to offer personalized customer service to its customers and thus painstakingly gathered all the customer profile data. The retailer adopted Data Ladder’s data quality solution to eliminate all the duplicates loaded in the systems. The case study suggests beyond a point that it is not only large retail chains and eCommerce behemoths who are embracing the technology but also small retailers who are benefited substantially using advanced technologies to drive customer loyalty and establish competitive dominance in the market.