Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Let’s introduce the concept of data mining.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. 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.

Data mining 137

Data mining Data-driven Statistics OLAP 137

FineReport

AUGUST 14, 2020

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

In(tegrate) the Clouds

OCTOBER 7, 2016

Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. OLAP Services, TM1, Pablo, Wired, and Crystal fun.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

FineReport

FEBRUARY 28, 2020

The underlying data is responsible for data management, including data collection, ETL, building a data warehouse, etc. In the end, display data insights such as reports and visual charts through data presentation.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

JUNE 3, 2020

Data yang mendasar bertanggung jawab untuk memanajemen data, termasuk pengumpulan data, ETL, membangun gudang data, dll. Analisis data adalah tentang pengekstraksian data dari data warehouse dan menganalisisnya dengan metode analisis seperti kueri, OLAP, data mining, dan visualisasi data untuk menyimpulkan data.

OLAP 59

OLAP Business Intelligence Reporting Dashboards 59

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52