Region: United States
Industry: IT solutions
Function: Data Economy, Open Data, Big Data (more…)
When analyzing really large data sets, we use Microsoft SQL Server Analysis Services. OLAP cubes allow coping with much bigger data volumes than relational databases. However, lots of users claimed that multidimensional cubes were hard to understand, especially when designing the model.
That was one of the reasons why SSAS Tabular Model was introduced in 2012. (more…)
As you might have noticed, we often refer to Flexmonster as a pivot table. But what does that term exactly mean? How do pivot tables function and what can you actually do with them? Let us get back to the basics of pivot tables and find out.
Pivot table is a data processing tool, a two-dimensional table used to summarize, explore, and present large amounts of data. (more…)
In a modern world, the possibilities come not from owning the data but from properly managing and analyzing it.
A pivot table is a popular feature many can find in Microsoft Excel and use to interactively analyze the large mass of facts. The robustness of this analysis type allows many to extract trends and patterns that are located inside the data.
The pivot table allows you to organize and summarize this information, focus only on the most relevant data and extract the most meaningful business analysis facts.
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.
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.
In the real world, companies often struggle with setting up a solution that would satisfy their analytical and reporting needs. In this article we will briefly cover some of the paths that can be taken to solve the above-named problem, concentrating specifically on what embedded BI offers in this regard. (more…)
We hope you are having a great summer. Our team decided to fulfill your warm working days with a light breeze of new version features.
These version 2.6 features satisfy the most popular requests from end-users and also offer the new possibilities for developers.
Let’s dive in details! In new 2.6 You are able to: (more…)
Our team continues to work hard on the component's performance optimization which has always been of great importance to our users and customers.
Therefore, in the light of a new 2.6 version of Flexmonster release, we are happy to inform you about the new significant feature - Compressor for JSON data source which will boost the performance of your project when loading the JSON data from MongoDB or other NoSQL Database into Flexmonster Pivot Table & Charts.(more…)
As the world becomes a more competitive place to live in and amounts of data are constantly increasing, it’s crucial to keep up with the newest trends in data visualization to convey its meaning and make it easier for a human brain to perceive.
Whereas tables and charts have to be interpreted and understood, a Heat Map tends to be a self-explanatory kind of visual storytelling. It embodies a 2D visualization with color as a 3rd dimension. You can visualize your data through variations in coloring which correspond to variance across multiple variables. (more…)
We’ve made great progress since our last summer release. This time we deeply worked on memory that component uses in a browser. You often have this question "How much data Flexmonster component can handle?". Being a client-side tool, it mostly depends on browser memory. Thus, we have been working on optimizing the component’s memory usage, especially when dealing with large amounts of data.
Today we are ready to show the changes we’ve made and how you can affect your business using the latest 2.5 version of Pivot Table & Charts component.
Let’s see: (more…)