What is Data Marketing?

What is Data Marketing and how can it generate more results? Observe the audience that needs your service, because “Consumers are in control. They demand real-time, relevant, and personalized responses, available when, where, and how they want them.” (ARTHUR, 2013, p. 19). The world has changed, and so have business operations. Faced with a range of cutting-edge technological resources, the current corporate landscape relies on digital technology as an important ally for organizing data, and Data Marketing is part of this movement. Responsible for generating better results for businesses, especially marketing and sales, Data Marketing enables the cross-referencing of information from a wide variety of sources (customers, competitors, external data, transactional information, and suppliers, for example). The importance of data for marketing and sales generation Fundamental to contemporary organizations, data analysis enables the automation of information collection and processing processes. This contributes to improving both the synergy of marketing and sales teams and the customer experience. Data Marketing analyzes relevant data about customers and prospects to understand the consumer journey, their purchasing moment, and their relationship with the company. It also helps make smarter decisions without putting the business at risk. There are four main types of analysis that can be used: descriptive, diagnostic, prescriptive, and predictive. Descriptive, as the name suggests, seeks to describe data observed in real time, focusing on the present. Descriptive analyses investigate what may be behind actions or events. Achieving goals and the best actions and practices to achieve them are the focus of predictive analysis. Finally, predictive analytics focuses on future prospects, with predictions about scenarios that may impact the company and consumer habits in different ways. What is Data Driven in Marketing? Data-Driven Marketing, or simply Data Marketing, refers to the data collected by a company from interactions with customers and/or third parties. This set of information makes it much easier to identify consumer preferences, motivations, and behaviors. This strategy allows organizations to have a complete view of their target audiences. This means strengthening ties and continually improving people’s experience. Furthermore, data-driven marketing can also guide media purchases, contribute to actions that improve the return on investment (ROI) of the channels used by companies, and enhance product development. The core vision of Data Marketing is based on pillars such as analysis, automation, and measurement. Clearly defining objectives, making processes easier, faster, and more efficient, and continuously monitoring the goals to be achieved are all crucial. How to use data to engage customers? To truly achieve success, it’s essential to be present at the important moments in your customers’ lives, and this is achieved by understanding their current stage of life. The arrival of a child, for example, generates changes in a family’s consumption patterns. There are many transformations: preparing for the baby’s birth, changes in consumption habits, such as purchasing diapers and food for the child, the need to buy a larger car, new appliances, and so on. It’s possible to be assertive with efficient and effective marketing communication, by paying close attention to results and continuously improving processes.One of the pillars of the strategy is the relationship. Creating and cultivating it only increases the sense of belonging among customers, who feel increasingly closer to the company. Today, consumers are increasingly looking for companies to understand their essence, their current moment in life, and to talk about what truly interests them. Different marketing platforms allow businesses to discover which channels their audiences are most present on. This allows them to reach out, presenting, right from the first conversation, offers that align with their needs. Understanding that the market is constantly evolving is also essential when it comes to Data Marketing. Visualizing results in a 360-degree perspective, seeking to continuously improve them, and changing strategies is completely natural today. When adopted correctly, this approach brings a series of advantages to businesses. Based on concrete information, the chances of errors are minimized, and communication becomes more contextual and precise, which is essential for consumer evaluations of organizations, for example. “Treating them differently, understanding each person’s current stage of life, where they live, and the peculiarities of the regions where they live are very important points in this process” (WWW.NEUROTECH.COM, 2023, Web Site) How is Big Data applied to marketing? Big Data has become relevant due to the large volume of data accumulated by companies over several years. This information is often collected based on consumer behavior at different stages of their purchasing journeys. The tool is an excellent ally for generating relevant insights for businesses. After all, the principle of Big Data lies in the volume of data collected. “The more data a company has about something or someone, the more reliable the analyses it can extract from it” – Arthur Padilha. Faced with these large masses of data, it is necessary to use computing resources from Artificial Intelligence and Machine Learning to process them and generate relevant learnings for the business. The improvement guaranteed by this resource allows for better decision-making which can make all the difference in increasing revenue, reducing costs, and growing operations. Equipped with these tools, organizations easily understand how to engage with their leads and customers at every stage of the journey. Gathering information also increases consumer engagement with the brand, enhances inbound and outbound marketing strategies, and improves pricing, among other benefits. When applied to marketing, the potential results are enormous! What is the role of LGPD in Data Marketing? In force since September 2020, the General Data Protection Law (LGPD) regulates the processing of customer and other user data by Brazilian companies. The law in Brazil can be found on the official government website, click below to see:

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History of Java

The History of Java Java is an object-oriented programming language developed in the 1990s by a team of programmers led by James Gosling at Sun Microsystems, which was acquired by Oracle Corporation in 2008. Unlike modern programming languages, which are compiled to native code, Java is compiled to bytecode that is interpreted by a virtual machine (Java Virtual Machine, abbreviated JVM). The Java programming language is the conventional language of the Java Platform, but it is not its only language. J2ME is used in computer games, cell phones, calculators, and even car radios.In 1991, the Green Project, the birthplace of Java, an object-oriented programming language, was launched at Sun Microsystems. The project’s mentors were Patrick Naughton, Mike Sheridan, and James Gosling. They believed that eventually, computers would converge with the equipment and appliances people frequently use in their daily lives. To prove the viability of this idea, thirteen people worked for eighteen months. In the summer of 1992, they emerged from an office on Sand Hill Road (in Menlo Park) with a working demonstration of their initial idea. The prototype was called *7 (pronounced “Star Seven”), a remote control with a touchscreen graphical interface, accompanied by a mascot, now widely known in the Java world, Duke, who served as a virtual guide, helping users use the device. Star-seven had the ability to control various devices and applications. James Gosling specified a new programming language for *7 called “Oak,” meaning oak, a tree he could see when he looked out his window. The next step was to find a market for Star-seven. The team thought a good idea would be to control televisions and video-on-demand with the equipment. They built a demo called MovieWood, but unfortunately, it was too early for video-on-demand and cable companies to make the business viable. The idea *7 was trying to sell is now a reality in interactive programs and also in digital television. Allowing viewers to interact with the broadcaster and programming on a large cable network was very visionary and far from what cable TV companies had the capacity to understand and buy. It was the right idea at the wrong time. However, the internet boom happened, and a large interactive network was quickly establishing itself. It was this type of interactive network that the *7 team was trying to sell to cable TV companies. And, overnight, it was no longer necessary to build the infrastructure for the network; it simply was there. Gosling was tasked with adapting Oak for the internet, and in January 1995, a new version of Oak was released, renamed Java—saying it was inspired by the coffee the development team consumed, originating from the island of Java, and which is also present in the Java logo. Java technology was designed to move across networks of heterogeneous devices, networks like the internet. Now, applications could be run within browsers using Java Applets, and everything would be available instantly over the internet. It was the static HTML of browsers that fueled the rapid spread of the dynamic Java technology. The speed of subsequent developments was staggering; the number of users grew rapidly, and major technology vendors such as IBM announced support for Java technology. Since its launch in May 1995, the Java platform has been adopted faster than any other programming language in the history of computing. In 2004, Java reached the milestone of 3 million developers worldwide. Java continued to grow and is now a benchmark in the software development market. Java became popular for its use on the internet, and its runtime environment is now present in browsers, mainframes, operating systems, cell phones, palmtops, smart cards, etc.Standardization In 1997, Sun Microsystems attempted to submit the language for standardization by the ISO/IEC and ECMA agencies, but ultimately gave up. Java remains a de facto standard, which is controlled through the JCP (Java Community Process). In November 2006, Sun released most of Java as free software under the terms of the GNU General Public License (GPL), completing the process in May 2007, making virtually all Java code open source, except for a small portion to which Sun does not hold legal rights. License Sun makes most Java distributions available free of charge and earns revenue from more specialized programs such as the Java Enterprise System. On November 13, 2006, Sun released parts of Java as free software under the GNU General Public License. The release of the source code under the GPL occurred in May 2007.Acquisition by OracleIn 2008, Oracle Corporation acquired Sun Microsystems, the company responsible for the Java language, for US$7.4 billion, with the goal of bringing Java and other Sun products to consumers.CertificationsThere are eight types of Oracle certifications for Java:Oracle Certified Enterprise Architect (OCEA);Oracle Certified Mobile Application Developer (OCMAD);Oracle Certified Developer for Java Web Services (OCDJWS);Oracle Certified Business Component Developer (OCBCD);Oracle Certified Web Component Developer (OCWCD);Oracle Certified Java Developer (OCJD);Oracle Certified Java Programmer (OCJP);Oracle Certified Java Associate (OCJA);Each certification tests some type of skill within the Java platform and language. All tests are administered by Pearson VUE and are internationally recognized.CommunityThe Java developer community gathers in groups called JUGs (Java User Groups). In Brazil, the user group movement has expanded significantly and has formed some of the largest Java user groups in the world, such as PortalJava, GUJ, and JavaFree.==> FROM TIME TO TIME IDEAS CHANGE <==

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