CIO Business Intelligence

JANUARY 20, 2023

For example, a company that wants to better manage its supply chain needs BI capabilities to determine where delays are happening and where variabilities exist within the shipping process. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Saving time and headaches with online analytical processing tool.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

Jet Global

APRIL 20, 2020

Over time, accounting software evolved to include inventory management, human resources, and even CRM. This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Succeeding in the New Paradigm.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 105

Data Warehouse KPI Optimization Cost-Benefit 105

AWS Big Data

JUNE 21, 2023

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 96

Data Warehouse Data Lake OLAP Cost-Benefit 96

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber focused on contributing to several key areas within Presto: Automation: To support growing usage, the Uber team went to work on automating cluster management to make it simple to keep up and running. They also put process automation in place to quickly set up and take down clusters. It lands as raw data in HDFS.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86