Top 5: best practices for ensuring data confidentiality
“Secret is the soul of the business”: the phrase is already old, but it still makes sense. In today’s business world, where IT threats are at every corner, protecting your business data is essential to ensure that your competitors do not find out what you are planning and also to protect sensitive business data. All companies are aware that it is necessary to protect the data. However, not all implement strategies to effectively protect them. In today’s article, we cover the 5 most important practices to ensure data confidentiality.
Everything you need to know about Internet of Things
Internet of Things is a reality in which various objects used in everyday life are connected to the Internet. Nowadays, more and more objects are connected to the Web, and we don’t take it for granted. At the beginning of this digital age, it was only possible to connect smartphones and tablets, and yet in recent years we have witnessed a revolution in this area and it is now possible to connect game consoles, televisions and surveillance cameras to the network. In a very simplified way, Internet of Things aims to connect any device to the Internet. According to Gartner, by the year 2020 there will be more than 26 billion devices connected to the network. At home, this concept aims to make life easier for people, but its application will also have an impact on the business world. In today’s article, we’ll cover the main concepts related to the Internet of Things!
How to optimize your company’s data management?
It is essential to analize data in order to make the best possible decisions. The data must be organized so that we can provide relevant information about the actual state of the business, because only then we will be able to decide consciously. Companies are currently experiencing difficulties in organizing and structuring data as there is more and more information (the so-called Big Data) and managers don’t always know how to deal with it. In today’s article we leave you some essential tips for optimizing the results of your business through a correct data management!
What is a Data Scientist?
The new profession of the future, according to many predictions, is to be a data scientist. We live in an age where everywhere we are “bombarded” with information and it is no longer new that there is a huge amount of data that is generated daily. The so-called Big Data has changed everything, especially the way companies work. In a time when such a large amount of information exists, it becomes difficult to analyze all the data and make the right decisions. To help simplify this task, the data scientist emerged. In this article, we will explain to you what this professional of modern times does and what are his main goals!
Data Security: The Top Challenges of IT Manager
Data Security: The Challenges IT Managers Face
The role of IT managers is to ensure the integrity of company data, which has become an increasingly difficult task in order to the increasing security threats. New digital solutions make companies more connected and mobile, allowing them to offer value-added products and services to their customers. However, ensuring maximum security in all areas is a challenge for IT managers. In today’s article we will address the IT Manager’s key challenges in data security!
Data masking: what it is and why your company should do it
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). In today’s article we will talk about data masking and explain why your company should start using this feature today!
5 Big Data Success Stories
Big Data: cases of success in companies
The new consumer, more demanding and informed, the constant connection to the online world and the great exchange of information on different social networks and digital platforms has increased competition and made understanding of the market more complicated by companies. Currently, a full knowledge of the market can only be achieved by collecting and processing a large number of data. Big Data enables companies to fully understand their target, streamline their business processes, and anticipate trends by taking a proactive action. In today’s article we present you 5 success stories with Big Data!
How to deal with so much data?
Think about the time it takes a 1 second. That’s enough time for 52,196 people “Like” Facebook posts, publish 700 photos on Instagram, do 4000 Google searches and publish about 6,000 tweets. The information society is generating more and more data each day and this giant volume of data sometimes becomes a problem for companies. More and more companies are wondering how to handle so much data. In this article, we’ve provided you with some essential tips to best handle your business data!
