In the new build 2.304, we want to present you a new feature which can be extremely useful for those of our client who works with MS Analysis Services or icCube.
From now you can restrict the amount of data to load from OLAP cube by using 'subquery' in the list of connection parameters. (more…)
Starting from version 2.3 we have moved from XML to new JSON format for saving pivot reports. It means that all inputs and outputs are now in JSON format by default. Despite the fact that all XML reports are still backward compatible, we are receiving numerous questions about an easy way of migrating to the new format.(more…)
Get ready to download the new version! Yes, Flexmonster 2.3 is released.
The new features that will help any integrator to use our сomponent even easier in their applications, better interface and possibilities for end-users to extend their reporting greatly - all this and more you will find in the new release.
Here they come - new editions that were introduced together with 2.3 release. This means that if you are a holder of the previous edition - Premium, Advanced, Site or Professional - it will be automatically replaced with a new one that fully matches your usage. This happens when you update to the 2.3 version. Such change of the edition does not require additional payments as it is done in terms of your maintenance. Thus, we want it to happen as smoothly as possible, so please follow the descriptions and instructions below. (more…)
The new 2.3 release greatly extends users’ possibilities and allows visualizing more complex data from our Pivot table with popular 3rd party visualization tools. (more…)
Our clients have a chance to use mobile version of web Pivot Table & Charts component for a long time. There is no news that Flexmonster pivot is a cross-platform component and allows clients to process massive amounts of data as good as a standalone desktop solution. Depending on a device controls adaptively render reports and ensure the usability of the Pivot Component.
What's all this about:
What we did: (more…)
Previously we listed few useful tips on collecting small data. Data cleaning is what typically goes next. Thus, today we are going to emphasise four crucial ideas which can help you save valuable time, avoid headaches and conduct qualitative data analysis. (more…)
In our last blog, we presented a data definition framework. Among all data categories from internal and external sources, human generated data may be crucial for a company. Also, even in the era of Big Data spreadsheets are still very commonly used in small companies and corporations. In other words, there are millions of people collecting and working with the small data type of data which can be easily fitted in an Excel spreadsheet. (more…)
In the last blog, we discussed data visualisation mistakes everyone can make. Also, we all know that the quality of any data visualisation and data analysis is conditional on the quality of the data. During data analysis, a proper new finding can be revealed only if data is accurate and trustworthy. Thus, this time, we are going to look deeper at types of data with an eye to ordering and understanding your data assets better. (more…)
Our business life and much of our experiences are grounded on the credence to numbers. We trust numbers as the means to reaching truth and objectivity in analysis, as well as confidence in conclusions. They tell us about the variety of important subjects, moreover, they present a distinction between what is accepted as harmless and what is supposed to be dangerous. And since data-driven decisions define the further course of actions we with the same rigour long for objectivity through numbers in business reports and in health issues.
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. (more…)