CPG Trends to Watch Out For in 2023
The rise of e-commerce and digital technologies has led
to the generation of vast amounts of data every minute on consumer
behavior, market trends, and sales performance.
Top 6 Mistakes to Avoid In Retail Analytics Solution
Data is everywhere, driving retail analytics solutions , changing how we do business, and redefining what it means to be a customer. However, many businesses still operate in a data-aware mode rather than adapting to a data-driven mindset. What is standing in their way? The data is accessible. So why are so many companies struggling to go from data to insight to action? Here are the most common data mistakes we see businesses make: Data Blunder #1: Betting on average-of-breed vendors Businesses often need help to part with their legacy BI tools for retail data analytics solutions . Unfortunately, clinging to these one-size-fits-all tools can prevent you from constructing a modern data stack. The issue is that legacy BI tools for advanced retail analytics solutions were designed for desktops and single-server applications. As a result, they typically do not scale as well as today's cloud-based data warehouses. Worse, traditional BI vendors must design their products with to
