CIO Business Intelligence

JANUARY 20, 2023

It uses data mining , data modeling, and machine learning to answer why something happened and predict what might happen in the future. BI aims to deliver straightforward snapshots of the current state of affairs to business managers. and prescriptive (what should the organization be doing to create better outcomes?).

Business Intelligence 136

Business Intelligence Dashboards Data mining OLAP 136

AWS Big Data

MARCH 20, 2023

Other use cases – Additional use cases relating to aggregations and machine learning (ML) inference use cases such as authorization to operate, listing spam detection, and avoiding account takeovers (ATOs), among others. About the authors Mahesh Pasupuleti is a VP of Data & Machine Learning Engineering at Poshmark.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82