Data security is an increasingly important issue in the future of companies, so it is essential to find solutions that prevent a possible breach. One of the most efficient ways to prevent it is to ensure that sensitive data is masked through a consistent, controlled and compatible solution with the organization’s entire information system.
In recent times, much has been said about the importance of data for organizations. The truth is that it is through information that companies are able to make business-friendly decisions. Due to the new general data protection law, companies have begun to pay more attention to the information they have and have finally realized that data loss can bring irremediable damage to the business. But the question still lingers: how can your company use the data in your favor? That’s what we’re going to talk about in today’s article!
Computer attacks are a problem for businesses. Cybercrime is on the agenda and businesses need to prepare to avoid these crimes, as information security is increasingly a priority in modern organizations. In such a digital age and where the threats are more than many, how can companies avoid and respond to a computer attack?
Companies today deal with a large amount of data. If companies can not extract reliable information from the data they generate daily, they lose their purpose. Only with correct and up-to-date information will companies be able to make the right decisions for the future of the business. Thus, it is critical that they use the right tools to extract the maximum data value, whether ERP or real-time business monitoring system such as Multipeers. We’ve prepared an article with everything you need to know about Big Data Analytics! Stay with us!
The key for an effective decision making is the ability to extract the most important insights from the data the company has. However, because of the high number of data that is generated every day, it is not always easy to get the best out of the information. Managers are constantly looking for new ways of managing data, so that they can keep abreast of what is going on in the business and so they can consciously decide. In today’s article, we leave you important tips for managing and analyzing a large volume of data!
Masking the data has the main purpose of protecting confidential data against unauthorized access. In practice, data masking tools create a version similar to the original data in terms of structure but without revealing its true information. In fact, its original format remains unchanged but the data presented is fictitious. Masked data can be used in test and auditing environments without compromising the result of the analysis, but always ensuring the confidentiality of sensitive information. In a time when it is increasingly important to protect sensitive information, the use of data masking has increased significantly. In today’s article, we’ll introduce you to 5 reasons why your business starts using data masking right now!
Data migration is not an easy task for businesses and errors made during the migration process can result in unexpected costs, downtime and data loss. The latter problem is one of the most serious, as data is increasingly important for companies. Therefore, it is essential that you protect yourself during the data migration process and that you know what you are doing so you do not take unnecessary risks. In today’s article, we present you infallible tips for safe data migration!
In the quest for greater control over the quality of information, the best way to do this is to understand what quality is, and how important it is to the company in the process as a whole. Most companies consider data as crucial elements in their strategies. This is evident, because if the quality of the data is not satisfactory, the information will be incomplete, expensive and inconsistent, which in the end will bring enormous inconvenience to the fulfillment of the strategies.
The data can be considered active, and therefore must be managed. We know that the poor quality of the data compromises both the development of the projects and the final result, because without the establishment of effective data management, we can not expect a good quality of the data.
Companies generate more and more data in their daily lives, but more important than quantity is the quality of the analysis of the information generated. There is currently more than 5 times information than in 1987 and one of the biggest challenges for companies is to analyze data effectively so that decisions can be made on the basis of reliable facts. Well-conducted data analysis is very important to the company’s success, particularly in terms of increased sales. In today’s article, we cover the key aspects of using data analysis to increase your sales!