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. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

AWS Big Data

FEBRUARY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. This will allow for a smoother migration of OLAP workloads, with minimal rewrites.

Online Analytical Processing 98

Online Analytical Processing OLAP Slice and Dice Analytics 98

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

FineReport

FEBRUARY 28, 2020

The enterprise reporting portal also helps organize and manage reports according to business topics to facilitate users to find reports easily. What Is the Difference Between Enterprise Reporting and Business Intelligence? The central one is the data visualization technology at the display level. From FineReport.

Reporting 96

Reporting Enterprise Visualization OLAP 96

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

Jet Global

JULY 29, 2020

Oracle’s 2014 Statement of Direction laid out its support strategy. Migrating to the more complex and expensive Oracle Business Intelligence Enterprise Edition (OBIEE). Oracle recommends that Oracle Discoverer users migrate to Oracle Business Intelligence Foundation Suite , which includes OBIEE.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Domino Data Lab

JULY 2, 2019

To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.) Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52