NextWealth / Services / Structured and Semi-Structured Data / Catalogue Cleansing

Accurate & Effective eCommerce Product Data Cleansing services by NextWealth using the very latest in technology.
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Structured and Semi-Structured Projects
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Structured and Semi-Structured Data Transactions

eCommerce Product Data Cleansing Services

Information and data have become the most vital firepower that new-age businesses depend on to drive their success. Accurate data is vital for businesses to market their products and services, remain competitive, and grow revenues. Data cleansing plays a crucial role in this competitive digital business environment. Cleansing processes take care of identifying and rectifying any inaccuracies within saved data to make sure all errors are eliminated during the compilation & analysis stage itself. The goal of data cleansing is to ensure that the data in the e-commerce database is accurate, consistent, and up-to-date, which can help improve the overall performance and effectiveness of the e-commerce platform. Businesses that fail to maintain the accuracy of data, stand to lose credibility and profit along with consumers.

What is product data cleansing

Product data cleansing is the process of identifying and correcting or removing invalid, inaccurate, or incomplete data related to products in an e-commerce database. Removing duplicate product entries, correcting spelling errors in product names, removing outdated or inactive products, correcting wrongly labelled & wrongly grouped products etc. are a few processes covered by eCommerce Product Data Cleansing Services. It also involves ensuring that product information such as descriptions, pricing, and images are accurate and consistent across all channels.

Benefits of Catalogue data cleansing

Catalogue data cleansing can bring several benefits to an e-commerce business, a few major ones being:

Positive impact on SEO & Improved search results

With accurate and complete product information, search engines are more likely to crawl and index products correctly, which can lead to better visibility and higher rankings in search results. By identifying and cleaning up duplicate product listings and correcting spelling errors, businesses can ensure that their products are being associated with the right keywords, which can help improve search visibility. With accurate and complete product descriptions, consumers are more likely to find the products they are looking for, which can lead to increased consumer satisfaction and reduced bounce rates acting as a positive signal to search engines that the website is providing a good user experience.

Better customer experience

Consistent and accurate product data not only can help customers to find the products they are looking for quickly but also make informed purchasing decisions, which can lead to increased customer satisfaction and loyalty. Additionally, Customers are less likely to purchase the wrong product or return a product they are not satisfied with owing to accurate information provided before the purchase.

Enhanced data integrity & inventory management

By identifying and removing duplicate, outdated, or inaccurate product data, businesses can ensure that their data is accurate and reliable, which is essential for decision-making and forecasting. Clean data can be helpful for reporting and analysis, it can help in identifying the best-performing products, categories, and pages, which can be used to make data-driven decisions. Accurate product data can help businesses better track and manage their inventory, which can help ensure that products are in stock when consumers close in on the purchase.

Better data integration

Clean and consistent data obtained by frequent catalog cleansing can be easily integrated with other systems, such as inventory management, accounting, and marketing. Being a vital step in maintaining the quality of the data in an eCom product catalogue, data cleansing helps improve overall business performance.

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FAQs

What is the need to outsource Data cleansing to an external agency?

Outsourcing eCommerce product data cleansing to an external agency can help improve the quality of data, save time and money, and free up valuable in-house assets for other tasks.

  1. Resource optimization: A business may not have the necessary personnel or technology to effectively cleanse its data.Hiring a team entails its own human resource, real estate & infrastructure costs. Outsourcing readily allows access to specialized expertise and tools.
  2. Independent review: An external agency can provide an independent review of the data, which can be beneficial for identifying important issues that may have been overlooked internally.
  3. Scalability & flexibility: Outsourcing allows businesses to scale the product data cleansing process up or down as needed, without the need to hire or lay off staff. The ability to handle any volume of work with expertise at a short notice adds flexibility to e-commerce businesses.
  4. Quality Control: Professional external service agencies provide many layers of quality checks on data by use of sophisticated and the latest software and tools which are hard to be matched by in-house teams.

What are some vital things to consider while choosing an e-Com Data cleansing service provider?

When choosing an e-commerce data cleansing service provider, there are several key things to consider to ensure that the provider is a good fit for businesses:

  • Quality standard: The provider should be able to provide accurate and high-quality data cleansing services. It’s vital to get references and testimonials from other clients in similar sectors.
  • Experience & Expertise: The provider must possess a proven track record of successfully cleaning e-commerce product data with the least inconsistencies. Providers must ideally possess the latest best-in-class tools & technologies to carry out the cleansing.
  • Flexibility: Businesses must choose a provider that can customize their services to meet specific requirements and handle data in the format so desired. A wide range of personalized data cleansing solutions must be at its disposal.
  • Scalability: Consider whether the provider can scale their services to meet your needs as your business grows. Quality control: Check whether the provider has a robust quality control process in place to ensure the accuracy and completeness of your cleaned data. Data security: Make sure the provider has appropriate security measures in place to protect your data, and that they comply with any relevant data protection regulations.
  • Pricing: The provider should not only be able to deliver the cleaned product data within the turnaround time as specified but should also offer transparent and flexible pricing options that fit the budget of the business.
In addition to all the above prompt & effective communication and real-time support by being responsive to the needs of businesses is vital for a stable long-term & fruitful relationship.

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