By Jack M. Germain April 26, 2024 6:00 AM PT
The Journey Toward Predictive Accuracy
. . . SoundCommerce is an example of why using data to predict actionable results is not a one-size-fits-all process. The company takes a different approach than other data management providers by using a no-code environment accessible to everyone.
The company’s CEO, Eric Best, noted that the data transformation pathway is littered with challenges. The process involves extracting data from a source system and customer data from the client’s CRM platform.
Then, the data has to be validated to contain reasonable quality. According to Best, the next step is applying the data to address a particular problem that SoundCommerce is working to solve: ascribe meaning to the data as it flows.
“That is important because, by the time you get to the data warehouse, where your analysis is going to happen, you are going to make these all-important business decisions,” Best told the E-Commerce Times.
To make that happen accurately, the data must be converted from one format to another to create compatibility and similarity. For example, for most retail brands, orders come from multiple sources in addition to a cash register or point-of-sale system. These vending sites often include an e-commerce storefront, an Amazon Marketplace business, and a proprietary mobile app.
“Seeing all four of the order data records in a common format and schema is an area where AI can be helpful,” Best said. . .
Read the full article here ecommercetimes.com