If you have already decided to use Flexmonster, then the next choice you will need to make is how to get the tool. Recently we added a new way to download Flexmonster packages. We made this change to make it easier and quicker to start the work with our component.
Before, Flexmonster offered only three options:
We are well on the way towards our roadmap plan: most of our features have already been presented in biweekly minor updates. We hope you had time to test them actively.
Anyway, we want to point out all the features we are planning to gather in the upcoming version 2.9:
One common motivation to use Microsoft SQL Server Analysis Services is the analysis of massive datasets. OLAP cubes allow coping with much more significant data volumes than relational databases. However, many users claimed that multidimensional cubes were hard to understand, especially when designing the model.
Keeping in touch with our clients is important for our team. Sharing how Flexmonster is successfully applied to meet the business needs of our customers inspires us, so we decided to start a case study series where we would share some of that insight with our readers.
Today we are proud to showcase our partnership with GAtec — one of the top information system solutions on the Brazilian agribusiness market.
Beforehand I wrote about the impact of data visualization on business reports. Hopefully, arguments based on how our brain perceives and decodes information were quite compelling for you. Further, we will examine some underlying ideas which also have a huge influence on the effectiveness of your business reports.
Giving World is a non-profit organization that provides a unique way for businesses to donate their surplus stock and unwanted items to charitable organizations.
Their primary goal is to give a helping hand to people in need by providing them with much-needed resources. We should note that GW is a one-of-a-kind UK service that allows busy businesses and charity partners to arrange the logistics directly completely free of charge.
Powerful Business Intelligence (BI) capabilities are a great competitive advantage for almost any company.
The problem is that there is often a long and challenging road between wanting an effective BI platform and having an effective BI platform.
Flexmonster pivot table component is a convenient tool for data analysis and visualization. It offers fast pivot grid control, built-in pivot charts, integration with 3rd party charting libraries. Moreover, the application can have more than one instance of the component. That allows creating a dashboard view with different charts and tables.
The power of Flexmonster is that you can integrate it with the majority of the technical stacks. Since the component works on the client side of your app, it doesn’t rely on server-side technologies used within a project. That's why, you're free to pick up your favorite programming language, data store, and front-end framework, and start creating your outstanding analytics app empowered with an interactive web pivot table and pivot charts.
2.8 version is released. We are thrilled to show you all the new updates we worked on.
This major release is bringing more comfort and accessibility to diverse tech stacks. Meet the new connection approach for different data sources; at hand integrations with A-list frameworks and all-new ways to match new programming languages.
With every new version, we do our utmost for you to enjoy Flexmonster all the more. The motto of 2.8 release is 'more flexibility, more performance, fewer limitations.'
Striving to provide you with more ways to work with our front-end data visualization tool seamlessly, we're thrilled to introduce the Flexmonster custom data source API.
There is a move towards the usage of NoSQL databases that are taking off rapidly. As proof, the MongoDB database is widely chosen by our clients.
This is not surprising as MongoDB can store huge amounts of data with little or no structure. It doesn’t limit the types of data that can be stored in one place. BSON, the format of data storing in MongoDB, allows storing arrays and other complex data types.
