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Business process improvement in that its goal is to improve and streamline actions and decisions in furtherance of business goals; Data visualization in that it uses well-established theories of visualization to add or highlight meaning or importance in data presentation. Digital humanities explores more nuanced ways of visualising complex data.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
The article explains: "The many contexts where data is cheap relative to the cost of retaining talent to process it, suggests that processing skills are more important than data itself in creating value for a firm." [224] Big data analysis is often shallow compared to analysis of smaller data sets. [225]
More specifically, analytic applications are a type of business intelligence. As such they use collections of historical data about business operations to provide business users with information and tools that allow them to make improvements in business functions. The maturity levels for business intelligence are: operational reporting
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Business informatics centers around creating programming and equipment frameworks which ultimately provide the organization with effective operation based on information technology application. [1] The focus on programming and equipment boosts the value of the analysis of economics and information technology.