How to Ensure Data Accuracy in Ecommerce

In the constant quest to improve data quality, data accuracy is a major component. This is particularly true in eCommerce. In this article, DataEntryOutsourced provides some insights about data quality in Ecommerce. By the way, the following spellings are often used interchangeably when talking about electronic commerce and Ecommerce portals – eCommerce, E-commerce, e-Commerce and ecommerce.

Defining Data Accuracy in E-Commerce

Product data entry involves the need for accuracy with several values such as the following:

• Product cost
• Type of product
• Identifying name
• Availability
• Shipping data such as cost and date

E-commerce quality and accuracy requires that the “right values” be represented consistently and clearly without creating any customer confusion.

Putting the Customer in Focus

Today’s customers have an increasing number of buying choices – unless all of their most important needs are met, your buyers will often be forced to consider the competition. Best practices for eCommerce require that you are constantly thinking about what the customer wants and needs.

For example, product overlays in a web store provide potential buyers with a 360 degree view of the product. To provide an “accurate” visual rendering requires that both online and offline data be matched in real-time. Equally important to the process is the speed with which images and offers are presented to a buyer.

Avoiding Costs and Preventing Risks

Without attention to data accuracy at every ecommerce point, avoidable incremental costs and risks can present themselves. Customer loyalty built up over a long period can quickly dissipate due to data errors. Inability to deliver due to an incorrect address might be the most obvious potential cost and risk. Another costly example involves failure to match lists against a fraud blacklist. Finally, everything must be “matched” before the transaction is finalized.

Measuring E-Commerce Data Quality

It is important for ecommerce trading to involve measurable goals for data quality and data accuracy. For example, DataEntryOutsourced insists upon a rigorous minimum standard of 95 to 99 percent accuracy.

While using experienced data entry professionals is a key safeguard in measuring and maintaining the accuracy of your e-Commerce data, a major source of data inaccuracies is due to the failure of manufacturers to provide timely product updates a few weeks before new items are produced and shipped to your web store. An experienced data entry partner can help you to avoid “normal data problems” like these.

Delivering Value to Customers and Your Business

“Bad data” is bad for everyone – especially for your customers and your bottom line. The cost of inaccurate data can cause you to lose a customer forever. On the other hand, the expense of producing accurate data is frequently matched by happy customers and increased sales that can help you take your business to the next level. One of the most practical ways to ensure an appropriate level of data accuracy and quality is to select a long-term data entry partner such as DataEntryOutsourced.

Please take a moment to share your observations about data quality and accuracy below. You can share this article on social media by using the share buttons.

– DataEntryOutsourced