Jet Global

OCTOBER 26, 2021

An inventory count sheet, for example, extracts information from the enterprise resource planning (ERP) system and may even present dollar figures associated with each unique stock-keeping unit (SKU). Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.”

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

SEPTEMBER 4, 2020

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. Redshift is a type of OLAP database.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

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.” In the new paradigm, real-time financial reporting tools sit at the center of the business, connecting all of the systems that keep the enterprise running smoothly.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

OCTOBER 2, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 84

Analytics Data Warehouse Data Lake Metadata 84

AWS Big Data

AUGUST 1, 2024

Depending on your enterprise’s culture and goals, your migration pattern of a legacy multi-tenant data platform to Amazon Redshift could use one of the following strategies: Leapfrog strategy – In this strategy, you move to an AWS modern data architecture and migrate one tenant at a time. Vijay Bagur is a Sr. Technical Account Manager.

Data Warehouse 105

Data Warehouse KPI Optimization Cost-Benefit 105

IBM Big Data Hub

SEPTEMBER 25, 2023

As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. It can ingest data from offline batch data sources (such as Hadoop and flat files) as well as online data sources (such as Kafka).

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

MARCH 13, 2025

Improving security with SOC 2, SSO, and RBAC Critical enterprise security features can be challenging to implement in open source Pinot environments. StarTree Cloud provides enterprise-grade security with SOC 2 compliance, enhanced encryption, and single sign-on (SSO) capabilities.

Management 97

Management Analytics OLAP Online Analytical Processing 97