CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Such BI methodologies are built on a snapshot of what happened in the past. It enabled finance professionals to view, filter, and analyze their data along multiple dimensions.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

AWS Big Data

OCTOBER 18, 2023

You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other. On the Redshift Serverless Dashboard, in the Namespaces / Workgroups section, choose the namespace you just created. Deselect Create final snapshot.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

AWS Big Data

AUGUST 1, 2024

This includes the expected response time limits for dashboard queries or analytical queries, elapsed runtime for daily ETL jobs, desired elapsed time for data sharing with consumers, total number of tenants with concurrency of loads and reports, and mission-critical reports for executives or factory operations.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

MARCH 20, 2023

Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries. Operational dashboards are hosted on Grafana integrated with Druid.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

IBM Big Data Hub

SEPTEMBER 25, 2023

They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. For traditional analytics, they are bringing data discipline to their use of Presto. It lands as raw data in HDFS.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86