Analyzing the Best Practices in Point of Sale Data Analysis | Quantzig

By STS News Desk On Nov 12, 2019

Sunbit’s Point-of-Sale Technology is Now Available in More Than 20,000 Brick-and-Mortar Service Providers in the US

Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its latest article that lists three best practices in point of sale data analysis that can help retailers to succeed in today’s complex, data-driven era.

In recent years, the retail industry has come under increased pressure due to the shift in consumer behavior towards e-commerce and an omnichannel path to purchase. Due to such factors, big-box retailers have been forced to split their focus from brick and mortar execution, increasingly focusing on establishing a seamless omnichannel shopping experience and faster e-commerce purchase fulfillment. As a result of this juggling act, retailers have been forced to position their point of sale systems at the center of this Internet-oriented shopping experience to drive business outcomes.

According to Quantzig’s data analytics experts, “Given the importance placed on POS data analytics by retailers, brands whose sales are concentrated in fewer regions should be even more focused on using the data to maximize success.”

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies.