Post by account_disabled on Mar 5, 2024 0:32:22 GMT -5
It is a common mistake to believe that, when presenting data to a certain audience, the only thing to take into account is its validity and relevance, giving less importance to the way in which it is presented. As we say, a gross mistake with undesirable consequences. The form, in most cases, is as important as the substance, as the content of what is intended to be transmitted, not only in the field of Business Intelligence but in almost any other facet of life, especially in matters related to with business activity. We must not forget that the friendliness of a presentation, whatever its type, can determine success or failure in the realization of our intentions, even regardless of the interest, validity and reliability of the data provided. But what is meant by “kindness” when it comes to data presentations? And most importantly, how do you turn a data presentation into something audience-friendly? culs084446 Data visualization tools : the key to “friendly” presentations The English term friendly , which we find associated with countless issues and areas, from the usability of programming and software to what concerns us today, data presentations, is an expression that very accurately defines what we intend to clarify.
"Friendly", "friendly", "kind"... regardless of how it is translated, the important thing is to note that, if there is a friendly way of presenting data, there are also other less friendly ways of doing it; and that does not only mean presenting data in a way that is less appealing or pleasing to the eye, but also uncomfortable, messy and even incomprehensible. The large amount of sensitive and potentially relevant data that an organization manages can only be structured and converted into useful information for decision making if it is presented in an understandable and enjoyable way, either to a single user or to a larger or smaller Chile Mobile Number List audience. numerous. That is precisely what a presentation of data that we could consider user friendly consists of: an orderly presentation of structured data that provides information relevant to the specific interest with which it is carried out and understandable for the entire audience. As we see, an issue that we cannot consider minor in any way. Data visualization tools allow you to create data presentations on multiple devices, fed with enriched sources in real time if desired, structuring the data based on the hierarchy of interests that move us in each specific case and facilitating the transmission of information to users. and different audiences through customizable interfaces, metrics and graphs.
Of special interest in this sense are the data visualization tools that we find integrated into Mobile Intelligence platforms such as IBM Cognos or MicroStrategy, which in addition to creating ad hoc data presentations according to the specific needs and requirements of each situation, allow doing so at any time and from anywhere with data updated in real time. But in addition to the translatability of data into relevant information for decision-making, data visualization tools provide a highly interesting added value to meet the objectives of any presentation: simplicity combined with a high consideration of design allows for quick capture and indeed the attention of the audience, the most necessary condition for our intentions to come to fruition. For example, in a meeting with clients, if we intend to show data related to sales and acceptance of a product in the market, without a doubt showing a graph will be much more "friendly" than using a table full of numerical data. But beyond the fact itself (the data that reveals the information we show is, in both cases, the same), the reaction of clients to a graph that can be interpreted at a glance will be much more favorable to our commercial interests than that of the client. who must face a complicated table full of data and with a meaning that is difficult to unravel.
"Friendly", "friendly", "kind"... regardless of how it is translated, the important thing is to note that, if there is a friendly way of presenting data, there are also other less friendly ways of doing it; and that does not only mean presenting data in a way that is less appealing or pleasing to the eye, but also uncomfortable, messy and even incomprehensible. The large amount of sensitive and potentially relevant data that an organization manages can only be structured and converted into useful information for decision making if it is presented in an understandable and enjoyable way, either to a single user or to a larger or smaller Chile Mobile Number List audience. numerous. That is precisely what a presentation of data that we could consider user friendly consists of: an orderly presentation of structured data that provides information relevant to the specific interest with which it is carried out and understandable for the entire audience. As we see, an issue that we cannot consider minor in any way. Data visualization tools allow you to create data presentations on multiple devices, fed with enriched sources in real time if desired, structuring the data based on the hierarchy of interests that move us in each specific case and facilitating the transmission of information to users. and different audiences through customizable interfaces, metrics and graphs.
Of special interest in this sense are the data visualization tools that we find integrated into Mobile Intelligence platforms such as IBM Cognos or MicroStrategy, which in addition to creating ad hoc data presentations according to the specific needs and requirements of each situation, allow doing so at any time and from anywhere with data updated in real time. But in addition to the translatability of data into relevant information for decision-making, data visualization tools provide a highly interesting added value to meet the objectives of any presentation: simplicity combined with a high consideration of design allows for quick capture and indeed the attention of the audience, the most necessary condition for our intentions to come to fruition. For example, in a meeting with clients, if we intend to show data related to sales and acceptance of a product in the market, without a doubt showing a graph will be much more "friendly" than using a table full of numerical data. But beyond the fact itself (the data that reveals the information we show is, in both cases, the same), the reaction of clients to a graph that can be interpreted at a glance will be much more favorable to our commercial interests than that of the client. who must face a complicated table full of data and with a meaning that is difficult to unravel.