Smart Data Collective

OCTOBER 25, 2023

In the 1990s, OLAP tools allowed multidimensional data analysis. Through these analytics, businesses can track key performance indicators (KPIs) like engagement rates, reach, and conversion rates, enabling them to understand the impact of their social media efforts. Let’s break it down for you.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven OLAP 122

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Octopai

JANUARY 8, 2020

As a company’s data landscape grows and evolves, more computing “horsepower” is needed to perform the ETL and OLAP cube processing required to populate data warehouses and drive reports and dashboards. With automated metadata management, you can correlate data source growth with the performance of these processes.

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

Jet Global

DECEMBER 2, 2019

Departments and individual people tend to vary how they treat metrics, key performance indicators (KPIs), and the source/location of the data they pull. Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

BizAcuity

APRIL 1, 2023

Key performance indicators (KPIs) are a necessary component of any business intelligence strategy. The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Key performance indicators (KPIs) are a necessary component of any business intelligence strategy. The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

MARCH 7, 2023

Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores. Data subscription and access is fully managed with this service. Refer to the respective service documentation for further details.

Analytics 98

Analytics Data Warehouse Data Lake Metadata 98