Data Warehouse Enterprise OLAP Visualization 
FineReport
FEBRUARY 28, 2020
What Is Enterprise Reporting? 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. Common Problems With Enterprise Reporting.
CIO Business Intelligence
NOVEMBER 14, 2022
The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. Model-driven DSS use data and parameters provided by decision-makers, but Power notes they are usually not data-intensive.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Jet Global
AUGUST 14, 2019
While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.
FineReport
AUGUST 14, 2020
With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. Many enterprises are eager to build a reporting system to solve the problems of report generation and management. There are two ways for enterprises to build reporting systems.
Jet Global
SEPTEMBER 4, 2020
For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.
Jet Global
OCTOBER 2, 2019
While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.
AWS Big Data
MARCH 7, 2023
Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.
Expert insights. Personalized for you.
96 
Let's personalize your content