CIO Business Intelligence

NOVEMBER 14, 2022

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Jet Global

SEPTEMBER 4, 2020

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Jet Global

MARCH 5, 2019

Machine learning: Machine learning, at its core, is the process of getting computers to learn and act like humans by responding to variable data inputs. Vision systems: Vision systems are capable of analyzing and interpreting visual images, such as aerial photographs, medical imaging, or product labels.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

erwin

JUNE 7, 2022

Machine Learning. Don’t obstruct the optimizer from seeing it’s a star schema. Many database optimizers recognize the star schema and have code to optimize their execution by orders of magnitude. Figure 9: An example of a Snowflake that complicates the optimizer from seeing it’s a star schema. Operational.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. They should also provide optimal performance with low or no tuning. Data subscription and access is fully managed with this service.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 97

Data Warehouse KPI Optimization Cost-Benefit 97