Data Wiping As Business Asset

 Data Wiping As Business Asset

“How to keep your company information updated and eliminates errors in an agile way”

Data Wiping or data wiping is the process of detecting, correcting, or removing corrupt or inaccurate records from a set of records, tables, or databases with incorrect, incomplete, misformatted, or duplicate information.

 

Data-intensive companies, such as banking, insurance, retail, telecommunications, or transportation, should use data wiping tools to systematically examine data and detect defects using rules, algorithms, and lookup tables.

 

Typically, a data wiping tool consists of software capable of correcting specific errors, such as looking for duplicate records, correcting and amending poorly formatted or incorrect data, and modifying incomplete data in marketing and CRM databases, such as example add non-existent zip codes.

 

With these tools it is possible to achieve in a short period of time what could take days or weeks if an administrator had to do it manually. This means that companies can save not only time, but also money by purchasing data wiping tools. 

Data Wiping ensures long-term customer relationships

Businesses rely on their customer data every day in one form or another. For example, by using or relying on the integrity of the addresses that appear in the database to ensure that the invoices that are sent by email or by post are correct and arrive at the exact addresses.

 

Data quality is also important if top management wants to leverage customer data to deliver intrinsic value to the company. Some data quality issues are of utmost importance for this purpose, so it is critical with Data Wiping and management systems that ensure compliance with the following requirements:

 

·         Accuracy

·         Integrity

·         Cleaning

·         Correction

·         Completeness

·         Consistency

 

By managing and cleaning data, significant business value can be achieved. Senior managers often find it difficult to justify investing in data wiping tools. However, the impact of the following situations should be considered for any business:

 

·         The cost to the business of processing errors.

·         Solving problems manually.

·         Have incorrect or invalid billing information.

·         Make supplies or shipments to incorrect addresses.

·         Having customers or suppliers frustrated when they perceive that we have incorrect or invalid documents and that, therefore, the procedures cannot be processed efficiently.

 

As we can see, the importance of data cleanliness is an extremely important aspect of any ERP / CRM system. Having incomplete transactional data can lead to poor business decisions and, consequently, increased costs and associated services for customers and suppliers. Lack of Data Wiping can jeopardize relationships with customers and vendors, links that the company has worked hard to achieve and is therefore in your interest to maintain and preserve.

 

Continuous Data Wiping ensures consistency, especially when data from different databases are combined. Data cleaning ensures that customer information is updated and verified at the same time, which means that shipments will reach their recipient without problem, and calls or emails will also be attended by the person or entity to which they are wanted. Manage the company. A clean database is ready for any type of marketing campaign, it is an investment in trust and credibility, and it becomes a fundamental business asset for the success of the organization. 

We live in a technological environment where information from data is one of the most important factors in achieving business success. Obtaining a large amount of data helps businesses understand their consumers, know the market, find bugs and be able to solve them more easily.

 

Precisely the “boom” of Big Data has made many companies dedicate themselves to the massive collection of information, accumulating infinity of data. However, it is useless to have a large capital of information if it is not properly cared for and treated.

 

To achieve the data care they require, companies must bear in mind not only the need for a technological infrastructure to store them, but also the need to periodically Data Wiping for various reasons:

 

1. Accumulation of data without criteria

It is quite common for companies to accumulate data that, in the long run, can cause many problems, both in decision-making by not having a 360 ° vision, and by not knowing how to deal with it. The key to success is not simply in collecting information, but in knowing how to manage it in terms of its storage, consultation and cleaning.

 

2. Not all the data is true

We must bear in mind that consumers lie to companies, and there is no use having data that is not reliable. Therefore, they must be detected and eliminated, since they take up space and distort the analyzes and decisions of companies.

 

3. Remove duplicate data

It also affects the fact that the data come from different sources, since there is the possibility that there is duplicate data. You have to filter the information and eliminate any duplicates.

 

4. Outdated information

Information has a very short shelf life, as it is living information. The data initially obtained does not have a lasting efficient application, but rather the information moves at great speed, and this easily makes it out of date.

5. Not all information is useful

With the emergence of Big Data, many companies seem to forget about this fact. They focus on the amount of data they have, when the reality is that not all of them have the same value or the same utility. If the information is not useful to the company, it must be removed.

 

Taking into account all these criteria, companies will be able to optimize their data to the maximum so that they can achieve the business objectives they pursue. For this, they can count on Data Quality technological solutions, such as Unistal’s Data Wipe Software, specifically designed for the normalization, debugging and reduplication of customer data, with which they can also save time and resources.