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Leverage Your Data Potential With The Use Of Data Cleansing Tools

2017-09-18 by Mohd.Sohel Ather

A huge database of accurate and unswerving data is the backbone of every good business decision. Issues regarding data quality often arise when there are anomalies in a database. When we integrate record from multiple sources into a single data structure, there is a probability of variance. The prime trouble with a record is its object identity crisis which affects the database quality. The data cleansing tools help us to confront these problems with ease and effectiveness.

In the present era, most of the business models highly trust the information stored in their database. With the use of effective data cleansing tools, the issues like duplication, inaccuracy and corrupt information in a database can be avoided. Mistakes happen when we wrongly type a word or collect information from different sources. This, however, brings down the quality of the record paving the way for inconsistent information within the database. While an inaccurate record can lead to imprecise evaluation and analysis, a record of good quality can lead to the success of a project. The replication of entities is the prime cause behind inadvertent deletion and sluggish upload.

An effective tool cleans the database by accessing it and then hunts for the duplicate information in the account frequency in distribution, profiling etc. Precisely, it cleans the record efficiently as per requirement.

Removal of typographical errors, correction and validation of values alongside a list of entities are the actual methods involved in the cleansing of a record. The tools aim at refining a set of records by validating, harmonising and standardising them. Not only cleansing, but the tools also contribute to the enrichment of a database. The tools employ several processes in order to enrich a database.

Processes involved in refining of data

Different tools are used in the process of cleansing of records which check them for consistency or accuracy and further correct or delete them as and when required. They employ certain processes to perform the task.

  • Data Validation

The process ensures that a program functions on clean, useful and correct information. The validation rules are used by the tools for checking security, accuracy, and relevance of record being entered into the system. The rules might be implemented through the automated services of a data dictionary. The process of data validation aims to provide a precise assurance for accuracy, consistency, and appropriateness of the information for any kind of user input into the automated system. The corruption of record or security weakness can be the consequences of failure or omission of the validation of an entity. The validating software, therefore, checks for the validity, sensibility, and security of the information before processing them.

  • Data Wrangling

A data wrangling tool is designed to speed up the process of manipulation of record to receive analysis and envisage tools to read them so as to invest less time in fighting with them and more time to learn from them. As you wrangle the database, all the changes that were made during the process are self-documented by the tool through visual models. The software used in this process authorises the user to enhance the quality of the record and improve the analytical results, while he/she is engrossed in analysis or is just about to begin.

  • Data Reduction

The concept of transformation of alphabetical or numerical digital entity into an ordered, corrected and simplified form is called Data Reduction. Various kinds of tools are available in the market using which this can be achieved. Data non-replication is the best-known technique to be used in the process. It is at the storage block level, that the non-replication is expected to occur. The tool investigates for the existence of duplicate blocks in the storage and gets rid of the superfluous ones. In short, the tools are employed in the removal of the redundant information existing in the file to compress it and save space.

  • Data Matching

The tools used in this process are capable of finding a relation between the entities of the record like names, phone numbers, and addresses. All replicated information can be removed from your database by using this software. The potent matching engine integrated into the tools recognises the linked or duplicate record like missing words, nicknames, keyboards errors and other variations.

The Benefits of using Data Cleansing tools

In the present era, many enterprises prefer to curb their expenditure, which is the cause of them showing huge interest in investing in the data cleansing software. The tools can be much cost-effective and are able to save a huge amount of money of your enterprise.

The companies often have to confront with the problem of replicating entities that can incur a huge loss to the company. The reason for using these tools is to eliminate replicated information and shun mistakes like misguided funds. The companies can save over 6 million dollars if they employ proper tools for database cleaning.

The quality of stored record can be greatly improved by using reliable tools. You can lose a considerable amount of money because of replicated entities in your database. You will only waste money by sending the same marketing material to the same person repeatedly. This gradually may result in the loss of interest of the clients and soon they will start ignoring the emails or notifications received from your company.

As for a business, wasting money is not deemed to be good. By choosing a precise data cleansing tool, you will ensure that your hard-earned money does not go wasted by poor marketing judgement.

The prime objective of the software is to omit all the replicated information and to recognise the corrupted ones which need to be erased manually. It can also erase the invalid entities and only keeps the valid ones for the use of activities and decisions of the company.

These tools can also be used to increase the accuracy of the record created by your enterprise. Non-corrupted and accurate information will delete all the possible errors of the database and make them usable for future activities. Therefore, using these tools you won’t have to take wrong decisions about your company, which in turn would save your company from incurring a loss in the future.

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