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What is cluster analysis?

Cluster analysis is a descriptive statistics technique used to form similar groups of objects. It is a procedure in which data points that are similar with respect to certain characteristics are grouped together. The goal of cluster analysis is to create groups that are as homogeneous as possible. Cluster analysis can be used in various application areas such as market research, demographic analysis, medical research and credit.

What is Open Data?

Open Data is a movement that enables people to share, use and manage data. This data can come from any public or private provider, such as governments, businesses, scientists, citizens, and others. Open Data enables global collaboration and access to information that helps us solve problems. This data can be published as raw data, tables, maps, images, or videos, or it can be in specific formats.

What is agile software development?

Agile software development is an iterative and incremental software development process based on short-term goals, cyclical iterations, and a constant feedback loop. Unlike traditional waterfall methodologies, agile software development works iteratively, meaning that different aspects of the software are developed in small increments so that they can be gradually refined. The agile approach emphasizes sharing responsibility for the project between developers, customers, and other stakeholders. A culture of constant feedback, collaboration, and rapid response is encouraged.

With little effort, achieve the maxinal results - thanks to Pareto

Pareto is an ideal approach to achieve maximum results with little effort. It's a simple principle that says 80% of results come from 20% of effort. With this approach, you can focus your effort on the most important tasks, which will help you achieve better results faster. This allows you to use your resources more efficiently and achieve more results with less effort.

What is enterprise digitization?

Enterprise digitization refers to the process by which companies digitize their business processes to optimize the way they handle data, communications and customer interactions. This includes the adoption of digital technologies such as cloud computing, artificial intelligence, machine learning, blockchain and other digital tools to increase efficiency and productivity while reducing costs.