The Power of Wonderflow's Data Lake

In today's dynamic digital marketplaces, customer reviews shape purchasing decisions dramatically. For businesses aiming to understand their customers better, these reviews are a treasure trove of insights. However, the traditional approach of scraping reviews monthly by humans has several limitations, primarily due to the e-commerce platforms' constant rearranging and "cleaning" of reviews.

The Problem with Ad-Hoc and Recurrent Scraping of Reviews

Scraping reviews from e-commerce websites every month sounds logical. After all, this approach is aimed at providing the most current snapshot possible, mirroring what customers see online. But it runs into several substantial issues:

• Inaccessible Reviews: Reviews may be removed, moved, or made inaccessible for various reasons over time. When scraping occurs, these reviews will no longer be available to the public, depriving businesses of potentially crucial information.
• Dependence on Existing SKUs: Review scraping is based on an existing list of products/SKUs. If an SKU or product gets removed, the data associated with it won't be scraped and will become invisible to businesses.

The Best-In-Class VoC Analysis: Wonderflow's Data Lake

Traditional ad-hoc scraping of online reviews faces challenges, such as missing removed reviews and dependence on SKUs. At Wonderflow, our enterprise customers were concerned about disappearing reviews from their dashboards. Thus, we developed the Wonderflow Data Lake, a perpetually growing database of customer reviews.

The Data Lake offers continual availability of reviews, even those no longer present online, and comprehensive coverage of all products. It holds hundreds of millions of indexed online reviews across over 10 million products, providing a comprehensive view of customer sentiment and market competition. Choosing the Wonderflow Data Lake over traditional scraping methods for your global organization ensures complete, reliable, and historical access to customer reviews.

Unlike traditional scraping, the Data Lake approach ensures no reviews are destroyed or removed. Business users can access historical data that might no longer be available online, offering a wider perspective on customer sentiment and trends.

Next up: What are the advantages of Wonderflow's Data Lake, and just how powerful are numbers? Read more