As we approach the holiday shopping season, retail teams across the world prepare for a larger range of products for the shopper's perusal, quicker checkouts and bigger deals. This means that the demand for product data to be at its optimal best as well as the cost of maintaining quality data are at all time high.
In fact, according to Gartner, the average financial impact of poor data on businesses at $9.7 million per year. The obstacles businesses often face in improving data quality can be daunting and obscure the benefits and possibilities that good-quality data enables.
With the automation adoption trend taking over most industries including retail, it is an obvious option teams worldwide are exploring to implement to ease and optimize tactical or decision making initiatives. Despite this, why do so many businesses have trouble keeping their data clean and updated? What is inaccurate data actually costing business? What are the consequences of upskilling teams to monitor data quality better and what is the easiest way to achieve this?
Learn about this and more in this exclusive webinar.