Insights & Resources

The importance of having clear data

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Data Visualization

Data visualization, or the visualization of data, is a powerful tool for transforming raw data into easy to understand and use information. Through data visualization, companies can quickly identify trends, make comparisons between data, and make informed decisions.

Data turns into strategies

Smart products are able to collect and send a large amount of data, but the data only generates value when it becomes an insight.

It is necessary to analyze the data and transform it into decisive information, in order to make strategic choices for the company and the development of the product itself.

Data enables the use of technologies such as machine learning, which allows the system to learn autonomously from the data it collects and transform it into information that is transmitted to the company and the customer. To the company to use it in its decisions, to the customer to optimize the system's features.

"The data visualization is not only a way to display data, but also a way to make data visible."

Progetto senza titolo (71)Ben Shneiderman
Professor at University of Maryland

Data Visualization

Data Presentation Architecture

The Data Presentation Architecture (DPA) is a set of activities that aim to identify, locate, filter, manipulate, format and present data in order to effectively communicate meanings and knowledge in a decision-making context. Every graphical representation of data can be seen as a phase of a DPA implementation process, although often the other phases are neglected or minimized. DPA can be used constructively to help decision-making, for example by highlighting strengths in marketing. DPA is an important tool for companies that want to maximize their data and make informed decisions.

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Insights & Resources:

  • - Data Visualization
  • - Data turns into strategies
  • - Data Presentation Architecture

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