Data are the most important assets of companies today because it is through them that managers extract information about customers and the market in order to make the best decisions. Never before has there been an awareness that it is necessary and fundamental to protect information. Data masking is a technique that many companies are already using because it allows unauthorized data to remain secure and confidential. This tool is a growing need especially in the companies that generate a great volume of data (Big Data). Nowadays it is very important that companies protect their data in all stages of work, since the data is generated until the moment it is released. Data masking solutions allow data to be protected as long as they are being worked on in test environments until they are stored. Data masking creates a structurally identical version of the database, but it is exchanged for realistic but fictitious data. This makes the data protected and kept confidential. In today’s article, we’ll cover all the features that a data masking solution needs to have!
The digital transformation in companies has come to stay. Nowadays, a company that doesn’t exist online is almost as if it didn’t exist and is easily surpassed by the competition that is well present in the digital world. Digital technologies have redefined the way companies do business, changed how we relate to customers and how we communicate with them, but they also present us with a number of security challenges. Since there are more digital channels and more sources of information, the likelihood of an attack is higher than in the past. In today’s article, we leave you some tips to implement digital transformation in your business without compromising security!
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.
Information security is one of the areas that has evolved most over the years, in particular due to the increasing number of threats in the web world. Today, more than ever, information is seen by companies as a commodity that needs to be highly protected because it is through the data that companies make decisions and that make the business grow. In today’s article, we address information security trends for years to come!
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!
The correct treatment of data in companies proves to be one of the greatest opportunities in the world today. The data analytics area creates value across all sectors of an organization and enables better customer service. The volume of data has grown at an amazing rate in recent times. If we stop in the street to observe the behavior of people, we easily realize that the human being is increasingly connected and that generates, whether through sending e-mails, surveys or publications in social media, a huge amount of data all the days. But how does this “boom” of data generated impact on every sector of your business?
Big Data is a term that is already part of everyday business. Big Data defines the immeasurable volume of data (structured or not) that impact business in your day-to-day life. Much more important than the amount of data that is generated daily is what companies can effectively do with this data in order to increase the quality of their performance. According to IBM, there are now three times more devices connected to the Internet than people in the World. This data is more than enough proof of the amount of information that is generated every minute, which is a challenge for companies. But how can they take advantage of the data generated daily? In this article we will talk about the main opportunities created by the big data.
Companies generate more and more data in their daily lives, but more important than quantity is the ability to analyze the information generated. There is currently more than 5 times more information than in 1987, and one of the biggest challenges for companies is to analyze data effectively so they can make decisions on the basis of reliable facts. It is not always easy to deal with so much information and finding the best tactics for data analysis can be a very difficult task. In today’s article, we’ve put together 5 tips for doing a foolproof data analysis!
Companies produce data every day. In the competitive market of today, it is indispensable to save time in the execution of the processes and that is why more and more companies use data management programs that perform the most diverse tasks. Using data wisely makes your company more competitive and productive. In today’s article, we talk about the relationship between data intelligence and productivity.
Nowadays, information is the most important resource in companies and more and more there is a greater investment and a greater concern to obtain reliable information. However, there are still many companies that do not give this issue the importance they should and ultimately lose fundamental data that are generated daily. The amount of data generated in a day-to-day business is vast and it becomes tricky to deal with so much information. Analytical intelligence has a crucial role to play and it is on this topic that today’s article focuses.