Every day, we generate a significant amount of data online. Related to our personal or professional life, these\u202fdigital footprints\u202fare collected through social networks, websites, platforms, among others. They provide important information about who we are, what we do and how we behave. <\/p>\n\n\n\n
Therefore, in recent years, Data Analysis has become essential for organizations, as it reveals important characteristics of their consumers and competitors. However, much of this information is still not analyzed with a strategic eye and ends up not contributing to decision-making. <\/p>\n\n\n\n
In a digital transformation<\/a> scenario, corporates can no longer waste time with superficial and incomplete analyses. It became vital to develop a mindset oriented towards numbers and their potential for revelation. Therefore, we will discuss below the concepts, tools and importance of Data Analysis for the development and evolution of organizations.<\/p>\n\n\n\n Do you make decisions intuitively or do you prefer to use analytical tools to support them? It is known that the experiences accumulated throughout life and business are still very valuable. However, with the high level of competitiveness in the current market, the use of\u202fBusiness Intelligence\u202ftools is essential \u2013 which organize information and optimize the data interpretation process.<\/p>\n\n\n\n Data Analysis consists of a process of inspecting and modeling the data collected. Its main objectives are to monitor, reveal relevant information (quantitative and qualitative) and point out business opportunities and weaknesses, supporting decision-making in organizations.<\/p>\n\n\n\n We can use Data Analytics in different contexts: Business, Science, Academy. In addition, this process has many approaches and techniques. In the contemporary business universe, Data Analysis has gained prominence by transforming routine decisions into scientific diagnoses, which help corporates and people to work smarter and more effectively.<\/p>\n\n\n\n For the statistician John Tukey, Data Analysis is related to the techniques to interpret the results, since it includes the planning of data collection to make the analysis easier and more accurate. Mathematics and statistics are examples of mechanisms that help to apply this concept in the practical routine of corporates.<\/p>\n\n\n\n The term\u202fBig Data\u202fis relatively recent and, therefore, does not appear in most statistical dictionaries. This data is varied and has a high volume and can even be created in real time. Thinking about that, it is important to examine what are the tools that can help in the analysis process of organizations so that the competitive advantage becomes a business reality.<\/p>\n\n\n\n Currently, there is a wide variety of Data Analysis tools available on the market. Each of them has different languages and objectives, so it is important to consider the statistics and coding knowledge of the professionals who will use them. Below, we present some of these options.<\/p>\n\n\n\n Power BI<\/a>\u202fis a Microsoft business analysis service, focused on providing interactive visualizations and Business Intelligence resources \u2013 which help create indicators and generate reports, capable of facilitating decision-making. <\/p>\n\n\n\n This tool has a simple interface and allows each user to create customized reports and dashboards. This set of services also facilitates data accessibility, which can be viewed both on the local network and in the cloud. This means teams can work collaboratively and remotely. <\/p>\n\n\n\n Power BI\u202fhas integration with Excel and custom and pre-built data connectors. This option also allows real-time access monitoring, helping to discover and share\u202finsights\u202fthrough internal Artificial Intelligence (AI) functionalities.<\/p>\n\n\n\n This analytics platform features intuitive data exploration. Therefore, it can be used by analysts, IT professionals and executives. The tool has a simple design and interface, and its main attraction is the transformation of raw data into visual graphics.<\/p>\n\n\n\n Tableau<\/a>\u202fsupports cloud or on-premises storage. In addition, it provides the connection of different types of data and sources in the same report: spreadsheets, SQL database,\u202fBig Data,\u202fGoogle Analytics,\u202fSalesforce\u202famong others.<\/p>\n\n\n\n This tool is one of the most popular on the market, as it helps the user through the steps: tracking, monitoring and reporting on traffic. Through it, it is possible to analyze the organization’s data in a single place. Like the other options,\u202fGoogle Analytics<\/a>\u202fis focused on assisting in decision-making.<\/p>\n\n\n\n This option allows you to check marketing performance, that is, it is an important ally when monitoring business results to find opportunities and weaknesses. By using it, you will be able to better understand the behavior of your visitors.<\/p>\n\n\n\n There is a saying that what we cannot measure, we cannot improve. Thus, we found that data culture goes hand in hand with access to information. For this, the democratization of the collected data must be an important pillar within the organization. <\/p>\n\n\n\n When data becomes available for consultation and analysis, employees begin to use them in their decision-making routine. In this way, everyone ends up developing strategic work through actions with a collective impact, as information has crossed the borders between sectors and is now part of a holistic plan.<\/p>\n\n\n\n Want to digitally transform your organization and make it more strategic, but don’t know where to start from? You can reach us using the form below. We can help your business in the areas of Product Conception, Software Development, Software Architecture, Agile Methodology and UX Design.<\/p>\n\n\n\n \n Experience having a reliable partner to your IT challenges. Let’s talk about our unique approach to discover and deliver outstanding solutions. <\/p>\n Emotion x Reason <\/h3>\n\n\n\n
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