CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Some experts consider BI a successor to DSS.

Data mining 128

Data mining Data-driven Statistics OLAP 128

Jet Global

OCTOBER 22, 2020

As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products. Power BI provides users with some very nice dashboarding and reporting capabilities. OLAP Cubes vs. Tabular Models.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

OCTOBER 18, 2023

You can also use your favorite business intelligence (BI) and SQL tools to access, analyze, and visualize data in Amazon Redshift. Analyze the assessment report and address the action items. For Connection name , enter a name (for example, olap-azure-synapse ). When the test is successful, choose OK.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Jet Global

APRIL 19, 2021

Essentially, data warehouse automation allows businesses to quickly collect, clean, and prepare data for analysis without requiring engineers to write any code. In short, it’s more or less a necessity for businesses that hope to stay competitive in an increasingly fast-paced and data-driven world. Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Sisense

FEBRUARY 16, 2021

A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. These reports are critical to making decisions. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52