Jet Global

MARCH 5, 2019

And while artificial intelligence has the potential to augment each of those areas, they aren’t areas of focus specifically tied to AI; rather, each of these areas is actually addressed by a different class of ‘intelligence’ software—specifically, business intelligence (or BI). So why the confusion?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

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

FineReport

JUNE 24, 2021

That’s why business intelligence solutions(BI solutions) come into our minds. Business Intelligence Solutions Definition. What are business intelligence solutions, or BI solutions meaning? Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

DECEMBER 2, 2019

If you’re stumbling across this post through the sea of results researching “business intelligence vs. reporting,” then maybe you’re already familiar with the unlimited interpretations and definitions of these two practices. in “business intelligence vs. reporting” is a bit misleading. Learn More Now. Conceptually.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jet Global

OCTOBER 7, 2020

Enterprise Business Intelligence. Jet Analytics provides a pre-built data warehouse , OLAP cubes , and tabular models with a platform for non-technical users to easily create their own reports in Excel or Power BI. It helps simplify and speed up data management and analytics efforts in D365 F&SCM.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. The focus is on the ease of consumption and integration with consuming services.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. The query graph provides metadata that gets leveraged for optimizations at multiple layers of the relational database stack. SQL and Spark. That’s good stuff.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. You can also use your favorite business intelligence (BI) and SQL tools to access, analyze, and visualize data in Amazon Redshift. For Connection name , enter a name (for example, olap-azure-synapse ). Fault tolerance is built in.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

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. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 67

Big Data Data Warehouse Advertising OLAP 67

Smart Data Collective

OCTOBER 25, 2023

One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. The market for business intelligence technology is projected to exceed $35 billion by 2028. There are a number of ways that business intelligence is helping companies gain a competitive edge.

Key Performance Indicator 93

Key Performance Indicator Business Intelligence Data-driven Metrics 93

Smarten

JANUARY 4, 2018

By combining traditional ETL, data warehouse management and technical skills with self-serve data preparation and business user access to ETL and cube management, your organization can balance and optimize quality vs agility to create an agile analytical environment. Give the Power to Business Users.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Jet Global

MAY 28, 2019

Relational databases are incredibly useful for running a business, however, they are not optimized for getting information out. High level, a data warehouse is a collection of business data from multiple sources used optimized for reporting, analytics and decision making. Superpowered Business Intelligence.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

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., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

SEPTEMBER 22, 2023

In a rapidly evolving business environment, timely insights from data and the ability to react quickly to change are critical. Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52