Data Collection Data mining OLAP Visualization 
FineReport
JUNE 24, 2021
Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Data visualization analysis.
FineReport
AUGUST 14, 2020
The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization.
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FineReport
FEBRUARY 28, 2020
Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. The central one is the data visualization technology at the display level.
FineReport
APRIL 20, 2020
Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Comparison between Crystal Reports and FineReport- Data Collection . Crystal Report focuses on the data display. FineReport supports writing data back to the database via web forms.
CIO Business Intelligence
JANUARY 20, 2023
But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI.
Smart Data Collective
OCTOBER 25, 2023
Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.
Jet Global
MAY 1, 2023
This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.
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