In the last blogs, we mostly focused on few universal aspects of business reporting. We discussed data visualisation and storytelling impact on perception and effectiveness of business reports. This time, in order to reach more concrete insights, we will concentrate more on marketing analytics.
The basic feature of a quality flexible component is its custom ability and localization to your project's needs. Flexmonster Pivot Table & Charts component can be easily localized, so it can be shown in English for US and in French for France or to any other language your users used to. Doing localization as seamless as possible is one of the tasks we have implemented in a convenient way for Flexmonster Pivot integration developers.
It is not a novel concept that data visualization is crucial for efficient business reporting. Essentially the purpose of reports is to decode abstract data into visual stories which can be understood in an efficient, precise, and meaningful way. Thus, business leaders need to invest in the ability to gather ideas and insights from their data through visualisation.
Among main benefits for executives, visual data displaying gives optimal support for the following:
After the battle between pie charts and bar charts, it is a good time to relax and explore scatter plots. Since last time we pointed out main goals of using charts and graphs and mentioned investigating trends and relationships between variables in the data. Exactly for this purpose, all types of scatter plots are typically used. A scatter plot shows values for usually two variables for a set of data. The data is displayed as a collection of points with positions on the horizontal axis set according to the values of one variable and positions on the vertical axis set under to the value of the other variable.
Last time we were exploring risk factors of having a coronary heart disease with the help of Flexmonster Pivot Table Component. In the process, we had been using a flat table, pivot table, and charts above all. This time, we will talk about using pie charts and bar charts for different purposes.
Selecting a type of chart depends primarily on what sort of data you have, at what stage of your analysis you are, and what message you want to convey. Generally, charts and graphs are used for one of the following purposes:
In May 2015 we announced about terminating the development of Flash and Flex versions of the Component in future releases. Due to the market tendencies we took the strong decision to completely focus on the development of HTML5 version only. And we need to stress out that the current 2.2 release is the last one that includes Flash and Flex versions.
Yes, we are on the threshold of some big changes in our Pivot component offer, still, you shouldn’t worried.
Last time we slightly discussed the role of data visualisation in exploration data analysis (EDA). As promised, this time, we are going to run such analysis using Flexmonster Pivot Table Component. For this work, we had chosen always actual health care topic.
[source: http://bi.gazeta.pl/]
"I see it, I deduce it...You see, but you do not observe."
A Scandal in Bohemia.
A week ago we started series of blogs about data visualisation with covering the main aspects of qualitative visualisations[1]. Followed by the logic of using visualisation on the different stages of a typical analytic process we proceed our way with describing the role of visualisation techniques in the exploratory data analysis (EDA). It is an actual topic as nowadays many EDA approaches have been assimilated into data mining, as well as into big data analytics.
Data volumes which can be easily produced and accumulated nowadays are enormous but revealing their advantages is harder than ever. What we still need is complex and erratic information to be presented with clarity, efficiency and precision. For this purpose, we have a variety of data visualisation tools at our disposal, but in a rush, we can easily slip into vivid visualisation effects and lose benefits of the systematic approach of working with data.
Therefore in anticipation of lifting Flexmonster Pivot Table Component to a new level, we start a series of weekly blogs about data visualisation. We will go all the way through often neglected basics to everyday tips for making your visual communication better. Let us start with a quick review of three key principles of the qualitative data visualisation.
After the Component evaluation you could probably face the question: which license to choose? With this blog post we will help you to make the right decision when you are trying to get the most suitable license for your project.
There are two key licenses for Flexmonster Component usage:
Along with our minor releases that come every 2 weeks as the improvements to 2.2 version, our team is also working non-stop on the new major release. The work on 2.3 version is already underway and we think it would be fair to share our plans with you.
The direction we chose is based on our customers requests, support cases that we have received and also the new trends on the analytics market today.
Сertainly, it’s just a small part of all improvements that will be included in 2.3. release but still the noteworthy ones.
New features in 2.3 version are coming this autumn:
Flexmonster Team is pleased to announce that Flexmonster 2.2 version is released. This release is packed out of new powerful instruments that allow to increase the static and multidimensional data load speed tenfold for both server and client-side solutions.
It’s all about SPEED! In this release our team fully focused on the data transfer.
