Top Three Reasons to Normalize Your Data

Data Normalization

Most businesses focus on data cleanliness. Having accurate data helps to segment customers and analyze the data in terms of marketing in order to engage the brand further. There are a number of reasons to normalize your Data. This facilitates the entire data cleaning process and keeps the customer data clean and organized. Without data normalization one may face several types of data errors.

Data normalization is the process of restructuring the data to ‘normal’ in terms of data integrity. It is a key part of data management that can improve data cleansing, lead routine, segmentation, and other data quality processes.

Data normalization makes the data look clean, organized, easy to read and navigate through, and uniform across the entire customer database. Normalization includes standardization of specific fields in the customer database which brings uniformity.

In addition, here are the top three reasons to normalize your data.

1. Identifying Duplication of Data

Data duplication is a crucial problem that companies face and getting rid of duplicates is an important part of data management. Data duplication can hinder the overall customer experience. Customers may receive the same data more than once which is not very appealing. It not only impacts the sales and marketing aspects of the business, but also increases data storage cost. Normalization makes it easier to locate and eliminate the duplicated data.

2. Improving Lead Scoring

Lead scoring is defined as the process of assigning a value to specific leads in the CRM so that you can identify and grasp potential opportunities. Effective lead scoring is dependent on high-quality data and effective segmentation. For example, a B2B company will assign value to its specific leads based on the job titles as a variable. Moreover, proper segmentation is not possible without normalization. This will impact the values and business might lose out on the best opportunities. Data normalization enhances data quality and improves the process of lead scoring.

3. Reduce Response Times through Normalization

In B2C companies, customers expect faster response time for their queries. Having to feed in thousands of names along with their responses can often be time-consuming. In order to achieve an organized data, companies must have a perfect internal administration team and must use the data normalization tools. Data normalization ensures reduced response times and well-structured data.

There are specific tools that can identify standardization issues and assist in the data normalization process. And also these tools analyze the existing customer data to generate an assessment report. So, based on the report, multiple categories are assigned to help companies normalize and standardize their customer data. This is an ongoing process, which means that the business can track and fix the standardization issues as they arise. In addition, the number of data normalization errors can be limited, resulting in a high-quality customer database.

product data cleansing

Advantages of Product Data Cleansing for an eCommerce Store

The importance of offering clean and clear product data to the customers cannot be emphasized more. And if you own an eCommerce business, then this must stand out to be a golden rule for you. The quality of your product data is directly proportionate to your business sales. Inconsistent, incorrect, and poor-quality data can lead to loss of sales and business reputation.

Companies spend years to understand their customers and collect data. So, what exactly constitutes data?

Data may be customers’ chats, likes and dislikes, behavioral patterns, complaints, sales numbers, and also the future business goals. In other words, data provides the overall view of your products, services, and business processes.

An eCommerce store has to deal with a large amount of data on a daily basis. While managing such large chunks of data can be challenging; offering correct and updated product information to customers at all times is equally necessary. The ultimate motive of product data cleansing is to structure all the available data and make it useful for multiple users.

The eCommerce data cleansing is important as it impacts decision-making, marketing strategies, customer services, and also offers new updates in your products and services. Let us understand in detail why product cleansing is essential?

·  Product data cleansing allows the business to track customer behavior. Collecting accurate product data helps you to personalize the shopping experience based on customers’ purchasing habits, location, specific shopping requirements, and payment choices. These aspects directly impact your business revenues.

·  Data cleansing offers 100% accurate, correct, relevant, and uncorrupted information which can be used to gain valuable business insights. It also helps to reduce shipping errors, customer complaints, and any fraudulent practices.

·  Data cleansing also safeguards your mailing services. You can identify irrelevant recipients and spam emails. It helps you target your emails in the right manner leading to maximum leads and conversions.

·  Data cleansing minimizes errors caused unintentionally by customers; for example, errors caused while typing customer information, or wrong shopping details while browsing the site.

·  Clean data decreases the number of failed orders leading to reduced losses. Clean data enhances valid addresses and email contacts so that the material can reach the right customer.

All of the above-mentioned pointers explain the importance of product data cleansing. Here are some more advantages for an e-store to opt for data cleansing services.

·   Updated information is readily available to the customers at all times.

·   Accurate information reduces buying errors which lowers the rate of product returns. This is beneficial for the customers as well as the business.

·   Product data cleansing removes any duplicate inputs

·   Customers can locate their desired products easily

·   Product data presentation is consistent

Business data is sensitive to inaccuracies. It interferes with the productivity leading to loss of sales leads, revenue, and business reputation. Inaccurate analysis reports can be harmful for the business over the long run. Opting for product data cleansing services allows managers to use the accurate data efficiently and make the right business decisions. Investing in this service helps businesses to troubleshoot any problems caused due to data discrepancies. Ensure that your data is rectified and structured well so that your employees can focus on other crucial business functions.