Ojith's Technology Blog

Data cleansing or data scrubbing ensures that the stored data is delivered absolutely accurately. While the process of data cleansing is in operation, records are continuously checked to verify its accuracy and consistency. If necessary, the outdated and incorrect information can be deleted as well. This system operates within a single set of record or between multiple data sets requiring merging or which may be working in unison.
Data cleansing ought to be an essential process in any organization that keeps consumer data. It allows the highest data quality by de-duping, and suppressing and also appending key details which are personal too. The accuracy of a consumer data base will erode at a frightening rate. Data cleaning identifies movers, duplicating records and enhances personal details. In its simplest form, the software would be like a singular person or more than one person who reads the set of records to verify their accuracy.
The typing and spelling errors can be rectified while the data which is improperly filed, labeled, incomplete or even missing can be completed through this software package. Data cleansing can also be performed by computer programming. A more complex data cleansing program might also be able to fill in a missing city based on correct zip code or convert prices of items in the data base to Euros instead of US dollars. This software is ideally suited for developing an updated mailing list which can be sent to clients for promoting / selling various products. The process is very important for the efficient management of data dependent business.
In case the clients have not recorded the correct phone numbers or the client’s e-mail addresses have not been formatted accurately, the automated e-mail system is unable to send information on the latest special deals or coupons. The software based data cleansing ensures that all the data recorded within a system is up-to-date and accurate so that product details can be forwarded to the proper destination.
In areas where two data systems are working together, data cleansing is more effective. In case a manufacturing company has multiple branches, but may be dealing with the same customers, the data in each branch has to be complete, accurate and similar. When customers update their phone numbers within one branch, the data at the other branches need to have the same set of information ensuring that all the branches have identical data bank. In such cases the software based data cleansing also guarantee updated, accurate and consistent data between different records.
Often when storing a huge data base, errors are bound to creep into the system. The objective of data cleansing is to minimize or eliminate such errors and to make the data base appear as meaningful and useful as possible. In the business world the pivotal rule is that incorrect data base could be damaging and detrimental to the company’s commercial activities. Hence, data cleansing should be a mandatory operation of any business set-up to maximize profits and ensure their message gets out to the intended recipients.

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The importance of keeping your mailing list names and personal data up to date and accurate can not be understated. Billions of dollars are lost every year by large and small businesses because they ship correspondence to people who have moved, send duplicate mailings, mailings to addresses that do not exists and similar mistakes. By combining data and USPS software together the benefits will be significant.
Data Quality Software is the software that can convert the existing data into an integrated format by creating new fields, merging various files, and by summarizing and filtering it. The process “Data Quality” is the reliability and effectiveness of data, particularly in a data warehouse.
Data quality is much more than just records, fields and values-it’s about establishing business. From personal decisions, customer relationship to control of inventory, operations and even regulatory compliance, quality data forms the very foundation of a successful and flourishing enterprise.
Data quality assurance (DQA) is the method employed to verify the reliability and effectiveness of a data. Maintaining data quality requires going through the data periodically and scouring it. Generally this involves updating it, standardizing it, and de-duplicating records to make a single view of the data, even if it is stored in multiple variant systems.
Since data quality is so important from a business perspective, many large companies employ a data steward to be in charge of data quality. There are many vendor applications in the market to make this job easier.
It becomes easier to match your customer’s records with the help of this software. This improves the quality of your data. Usually computers trip over or ignore if the records don’t match. For instance a computer won’t know that Mac and Mack is the same person. The system is not designed to identify the slight variations in the characters, but data quality software knows this. It uses many other parameters to check the identity of two persons/names. The software also ensures that each customer has only one profile in your computer. This can have the added advantage of properly greeting a customer online when they log in. If certain criteria match, the system can anticipate that the person or group are affiliated and properly populate data.
How significant it is to have a Data Quality Software is we can understand by the following factual example: Gartner study says that poor quality customer data costs U.S. business an estimated $611 billion dollars a year in postage, printing, and staff overhead of reading data from operational systems.
The USPS is the least expensive way to ship letters and small merchandise in general in the USA. The USPS software and Data Quality software will enhance the profitability of every business. By maintaining the cleanest data records there will be less duplicate mailings, less returned mailings, a much stronger ability to sort potential customers and track results. In the challenging time the clean interface and ease-of-use of data quality tools makes is fast and a definite for all businesses looking to maximize their marketing dollars.

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