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Analytical Intelligence: Predicting Customer Desires and Improving Sales

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.

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5 Free tools to protect your data

Data protection is mandatory on these days. More than ever, privacy threats exist and it is vital that you take steps to prevent your information from being exposed to third parties. It’s true that sophisticated data protection programs come at a cost, but there are free tools that help you protect your information. In today’s article, we’ve covered 5 free tools to protect your data!

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Get to know the 4 types of Data Analytics and find how to use them in your business

It is no longer surprising that companies deal with a large amount of data, which makes it difficult to analyze them and consequently make decisions. It is now necessary to cross-reference data from a variety of data sources, gain insights, and analyze consumer and market information. In today’s article, we’ll cover the 4 types of Data Analytics that you can (and should) use in your business!

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Data Centralization: find what it is and its Importance

Customer relationship management is essential in today’s competitive marketplace. Winning a new customer can cost up to 5 times more than keeping current customers, so it is vital to know customers well and their needs. The customer’s data storage, when done correctly, allows us to know the profile of the client-type and define strategies to nurture the existing relationship. In today’s article, we will talk about data centralization and explain why it is so important in today’s marketplace!

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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.

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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!

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Curiosities about the new Regulation of Data Protection (GDPR)

The new Data Protection Regulation (GDPR) enters into force on May 25, 2018, with a mandatory nature. Companies need to be aware of all the requirements of this legislation in order to fulfill all their specifics and ensure that they are not “victims” of their huge fines. In today’s article, we will address the main curiosities about the new data protection regulation!

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4 Tricks to extract value from Big Data

“Big Data” is a fashionable term. More than understanding this concept, which is nothing more than the large amount of unstructured data existing in companies, it is necessary to know how to extract value from the information that is generated daily in companies. Organizations are now aware of this need, but they are not always able to take advantage of the real value of the data. In today’s article, we’ll cover 4 essential tricks to extract value from Big Data!

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How digital transformation is changing companies

Digital transformation: the present and the future of companies

Technology has changed everything: the way we live and the way we work. It is impossible for a company live without using technology. Digital transformation goes far beyond marketing and software: it encompasses every form of running a business and is imperative to keep up with market developments. In today’s article, we will address the key issues related to digital transformation in companies.

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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!

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