Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What About “Business Intelligence”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

APRIL 2, 2019

The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first. Regardless of where you’re landing in regards to artificial intelligence and business intelligence, one thing is true: you’ll need to have data to feed both. It All Starts with Data.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

AUGUST 14, 2019

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). Enter business intelligence (or BI) software. Regardless of where you’re landing in regards to Artificial Intelligence and Business Intelligence, one thing is true: you’ll need to have data to feed both.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP 109

OLAP Analytics Visualization Dashboards 109

Octopai

DECEMBER 15, 2019

Business leaders are becoming increasingly aware that data lineage mapping is not just a useful tool to trace the flow of data, it is a vital function of running an efficient business. Online analytics processing will further enable advanced analytics as these technologies continue to improve through 2020 and beyond that.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Amazon Redshift Serverless makes it straightforward to run and scale analytics in seconds without the need to set up and manage data warehouse clusters.

Big Data 90

Big Data Data Warehouse Advertising OLAP 90

Jet Global

OCTOBER 22, 2020

As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products. Unfortunately, it also introduces a mountain of complexity into the reporting process. OLAP Cubes vs. Tabular Models. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Data inbound This section consists of components to process and load the data from multiple sources into data repositories.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Jet Global

OCTOBER 2, 2019

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). Enter business intelligence (or BI) software. Regardless of where you’re landing in regards to Artificial Intelligence and Business Intelligence, one thing is true: you’ll need to have data to feed both.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

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. Request a live IBM watsonx.data demo today The post How OLAP and AI can enable better business appeared first on IBM Blog.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

Sisense

FEBRUARY 16, 2021

As an alternative, when using data modeling tools, data goes through an extract, load, and transform (ELT) process to convert it into the required format for analysis. . Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

MAY 4, 2021

In other words, HANA is the database and S/4HANA is the business application that runs on top of it.) As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing.

Reporting 52

Reporting IT Finance Data Warehouse 52

AWS Big Data

MARCH 13, 2025

Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution. Developers interested in learning more about managed Pinot can deploy real-time analytics with StarTree to test it out or join a session with StarTrees head of product.

Management 105

Management Analytics OLAP Online Analytical Processing 105