FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Analysts can apply this capability to solutions in many scenarios, such as sales, marketing, inventory, and production management. Data security. Business intelligence solutions examples (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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

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

Jet Global

AUGUST 14, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing. So how is the data extracted?

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Consumption This pillar consists of various consumption channels for enterprise analytical needs. Along with metadata management, data quality is important to increase confidence for consumers.

Analytics 84

Analytics Data Warehouse Data Lake Metadata 84

Jet Global

SEPTEMBER 4, 2020

When Microsoft released the next generation of the product in 2017, Microsoft Dynamics 365 for Finance and Supply Chain Management (D365F&SCM) , there were some significant changes behind the scenes. 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

Jet Global

OCTOBER 22, 2020

Power BI provides users with some very nice dashboarding and reporting capabilities. Unfortunately, it also introduces a mountain of complexity into the reporting process. It updates a dedicated database against which you can perform reporting and analytics. Within the data warehouse paradigm, there are two divergent approaches.

Modeling 52

Modeling OLAP Reporting Sales 52

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). dashboards), it can leave your consumers frustrated with their experience. One of the main settings to configure is your WLM (workload management). So let’s dive in!

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Jet Global

OCTOBER 2, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing. So how is the data extracted?

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

FEBRUARY 16, 2021

OLTP works as a source for a data warehouse that is used to store and manage data in real time. 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

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. Enterprise Management Associates (EMA).

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Jet Global

MAY 4, 2021

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. BusinessObjects cannot support real-time data changes, making it unwieldy for ad hoc reporting.

Reporting 52

Reporting IT Finance Data Warehouse 52