THE IMPORTANCE OF DATA AND ADOPTING A PEOPLE-FIRST APPROACH IN ADVANCED ANALYSIS DISCIPLINES
Data science is a multidisciplinary field that focuses on extracting useful information from large sets of raw and structured data to derive value from them and solve complex problems. The term describes a set of methodological principles and techniques originating from several disciplines (computer science, predictive analysis, statistics, and machine learning) to interpret and extract knowledge from data using Data Analysis.
Data inspection, cleansing, transformation, and modelling are all intrinsic to Data Analysis, a discipline that focuses on processing and performing statistical data analyses to identify valuable information that can help customers and companies make the best business decisions.
Applied Data Analysis methods use techniques from various disciplines, including mathematics, information sciences, computer science, and social sciences. Often, they are associated with data mining, a data analysis technique that focuses on extracting useful information for predictive and descriptive purposes.
In turn, data analysis is a primary component of Business Intelligence, a set of processes, technologies, skills, and methods employed to clearly collect, aggregate, analyse, and present data and thus optimise decision-making processes and performance.
Business Intelligence (BI) is characterised by a set of business processes used to retrieve data and examine strategic information, in addition to the technologies used to complete these processes and the information obtained as a result.
These days, BI falls within the innovative Advanced Analysis discipline. This approach seeks to build a comprehensive and exhaustive overview of information about a company to enable its employees to make the best possible decisions.
At this juncture, using a tool that, in addition to data, focuses on the individuals who will use it and the decision-makers who will evaluate information to predict future trends and potential events is of paramount importance.
Among the tools adopted by the SCAI Group, Tableau allows data to be used to enhance individual contributions by representing them clearly in visual format as part of a highly user-friendly navigation and user interface.
Thanks to its people-first approach, the modern BI promoted by Tableau allows data to be accessed and evaluated directly and immediately, speeding up the process of analysing the necessary actions to be taken.
For an Advanced Analysis tool to increase an organisation’s value, its key strengths must include
robust analysis, the option of large-scale use, flexibility, and mission-critical analysis.
Find out more about the SCAI Group’s Tableau Course.