The Ultimate Guide to Product Data Cleansing You Need to Do In 2020
Having accurate product data can help customers purchase
products with confidence and it can provide opportunities for a better insight to
support data-driven decisions for the organization along with operational
efficiencies.
What is Data Cleansing?
Data cleansing is the process of resolving errors and
removing incorrect records from the existing database. The purpose of the Product
data cleanse is to identify the incomplete,
irrelevant, and inaccurate product data and then take action to correct it by
modification, replacement, or deletion from the database.
Data deteriorates over time and it is important to have a
process in place to review the product data to assure it is in alignment with
what the manufacturer has in their system and it matches what a distributor
carries in their system.
There are a couple questions you should ask to see if data
cleansing is right for you –
1.
Is your company’s
customer service and sales performance slowed down because of incorrect or
insufficient product information in your ERP or E-commerce Platform?
2.
Are your operational
processes delayed due to lack of good quality product data?
3.
Are your ecommerce strategies
not getting the expected outcomes?
If you answered Yes to any of these questions, your
company may be due suffering from critical data quality management issues and
needs to perform data cleansing.
There are some basic steps to data cleansing:
- Identifying missing data
- Validating data accuracy
against source data
- Filling in gaps in data set
- Normalizing the data set
- Removing the duplicate
records
Here are some more benefits data cleansing:
Error Reduction
Data cleansing is a way to avoid unnecessary costs that arise when
organizations are spending too much time processing errors, correcting
incorrect data, or troubleshooting.
Drive Customer Acquisition
Organizations that maintain their product data can attract more
customers to their site with robust, accurate, complete product data which helps
customers buy with confidence.
Decision-Making Improvements
Clean data can boost the decision-making process. Accurate and up-to-date data supports
analytics and business intelligence tools to provide organizations with confident
resources for better decision-making which can generate more valuable insights.
Employee Productivity Increases
Clean and well-maintained product data ensure high productivity
of employees who can take advantage of that information in available to them
within the system and not have to rely on looking up information from outside
resources like search engines and manufacturer websites. Organizations that actively improve their
data consistency and accuracy also improve their internal teams’ ability to
respond to customers quickly.
Many areas of your business can benefit from clean product
data:
Marketing: Ability
to create product content quickly to run marketing campaigns, create landing pages, and for
speed-to-market on new product introductions.
Sales: Ability
to respond to customer requests, make accurate product recommendations, and
process orders quickly.
Purchasing/Accounting: Ability to place purchase orders and process
error-free invoices/payments for increased profit margins.
Logistics: Ability
to calculate accurate shipping costs with correct product weights and
dimensions.
Comments