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.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

SEPTEMBER 22, 2023

However, the complexity of Microsoft Dynamics data structures serves as a roadblock, making it difficult to use Power BI without a proper connection to your data. Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

DECEMBER 2, 2019

It will save you an unlimited amount of time trying to use the wrong tools for the job and mitigate the risk of getting inaccurate data into your financial statements, operational reports, or analytical dashboards. In contrast, your ERP software database is solely built for, you guessed it, putting the data in.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. It is organized to create a top-down model that is used for analysis and reporting. Ideally, your primary data source should belong in this group.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52