Jet Global

APRIL 2, 2019

And while AI algorithms are certainly poised to make an impact in each of these areas, enterprise businesses need to first invest in building the infrastructure to support them. The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first. Get Insight Now.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

AUGUST 14, 2019

With the potential use cases on the horizon for AI in business, as well as the investment dollars and rate of change currently propelling AI, one thing is clear: you’ll need to get your foundation in place sooner, rather than later, to take advantage of the benefits coming to the business world. But how can you do that?

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Octopai

DECEMBER 15, 2019

Automation enables modern data lineage analysis because it allows business intelligence teams to perform these tasks at speeds that were unheard of before. Business intelligence teams can create compelling interpretations of what a dataset means for a company by having the complete lineage illustration available at their fingerprints.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

Jet Global

OCTOBER 2, 2019

With the potential use cases on the horizon for AI in business, as well as the investment dollars and rate of change currently propelling AI, one thing is clear: you’ll need to get your foundation in place sooner, rather than later, to take advantage of the benefits coming to the business world. But how can you do that?

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

OCTOBER 22, 2020

The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. Unfortunately, it also introduces a mountain of complexity into the reporting process. 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. Jinja’s important features. Live models run queries directly against the data source.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

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. An Overview of SAP S/4HANA Reporting Tools. Common Pain Points in the Finance Department.

Reporting 52

Reporting IT Finance Data Warehouse 52

AWS Big Data

MARCH 13, 2025

Open source Pinot requires in-house expertise that can challenge well-established technical teams to provision hardware, configure environments, tune performance, maintain security, adhere to data governance requirements, manage software updates, and constantly monitor for system issues.

Management 91

Management Analytics OLAP Online Analytical Processing 91