Post by etikhatun669911 on May 2, 2024 4:47:13 GMT
There is a common mistake in believing that the only things to consider when presenting data to a specific audience are its validity and relevance, while not paying much attention to the way in which the data are presented. As we said , this is a serious mistake that can lead to adverse consequences. In most cases, the form is as important as the content to be transmitted, not only in the field of business intelligence, but in almost any other aspect of life, especially in matters Canadian Hospitals Email List related to business activities. We must not forget that, regardless of its type, the friendliness of the presentation can determine the success or failure of what we intend to achieve, even if the data presented are interesting, valid and reliable. But what does "kindness" mean when it comes to data presentation? And most importantly, how can a data presentation be turned into audience-friendly content ? culs084446Data Visualization Tool: The Key to a "Friendly" Presentation We have found that the English term "friendly" is relevant to countless issues and domains, from programming and software usability to our concern today, data presentation, and is a very precisely defined expression of what we intend to clarify.
“ Friendly ”, “ friendly ”, “ kind ”… no matter how it is translated, it is important to note that if there is a friendly way to present data, there are other less friendly ways as well; which means not only presenting the data in a less attractive or pleasing way, but also uncomfortable, confusing or even difficult to understand. The large amounts of sensitive and potentially relevant data that organizations manage can only be structured and transformed into information useful for decision making if it is presented in a way that is easily understandable and pleasing to a single user or to a larger or smaller audience. A lot of it. This is exactly what we consider to be the components of user-friendly data presentation: the orderly presentation of structured data, providing information relevant to a specific interest and understandable to the entire audience. As we can see, we cannot consider this a minor problem in any way. Data visualization tools allow you to create data presentations on multiple devices, providing rich sources in real time if needed, structure data according to the hierarchy of interests that move us in each specific situation and facilitate the communication of information to users. Appeal to different audiences with customizable interfaces, indicators and charts.
In this sense, we are particularly interested in data visualization tools integrated into mobile intelligence platforms such as IBM Cognos or MicroStrategy , which allow data to be updated in real time, anywhere, at any time, in addition to creating ad hoc data presentations according to the specific needs and requirements of each case. However, beyond the transformation of data into decision-relevant information, data visualization tools offer a very interesting added value that meets the objectives of any presentation: simplicity combined with great consideration of the design, which allows to quickly capture and indeed attract the attention of the audience, is the most necessary condition for our intentions to be realized. For example, in a meeting with a client, if we intend to present data related to the sales and acceptance of a product on the market, it is undoubtedly much more "friendly" to present graphs than to use tables full of numerical data. But aside from the fact itself ( the data revealing the information we display is the same in both cases ), the client’s reaction to a chart that is easy to understand at a glance will be more in our commercial interest than it will be to the client ’s. They have to deal with a complex table filled with data whose meaning is difficult to understand.