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 144

Data mining Data-driven Statistics OLAP 144

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Let’s introduce the concept of data mining. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Smart Data Collective

JUNE 16, 2022

One of the most valuable tools available is OLAP. This tool can be great for handing SQL queries and other data queries. Every data scientist needs to understand the benefits that this technology offers. Using OLAP Tools Properly. Several or more cubes are used to separate OLAP databases. see more ).

Online Analytical Processing 131

Online Analytical Processing OLAP Analytics Data Warehouse 131

Octopai

JANUARY 8, 2020

For example: – Business forecasting – Accurate, reliable business forecasts are essential for enterprises to determine annual resource allocations. A vital component of business forecasting is automated metadata queries.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Jet Global

JANUARY 15, 2021

While you are presumably already at an advantage when competing in a sales process with your existing customers, it still helps to tip the scales in your direction by making it economically attractive for your customers to stay the course and remain in the Microsoft camp. We work with you to deliver high levels of customer satisfaction.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse. In this scenario, data are periodically queried from the source transactional system. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

Jet Global

MAY 1, 2023

Healthcare is forecasted for significant growth in the near future. Net sales of $386 billion in 2021 200 million Amazon Prime members worldwide Salesforce As the leader in sales tracking, Salesforce takes great advantage of the latest and greatest in analytics. To keep this simple, we’ll ignore annual compounding).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52