Jet Global

DECEMBER 2, 2019

As we will outline below when discussing the technical execution differences between reporting and BI, with business intelligence, it’s possible (and required) to universally define goals and performance equations through KPIs and metrics that are calculated in the BI environment indefinitely.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

BizAcuity

APRIL 1, 2023

KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

FEBRUARY 8, 2021

Microsoft Power BI is a popular tool for designing visual dashboards that help everyone in your organization to better understand how the company is performing against key metrics. This enables teams to bring dashboard development in-house, without being dependent on third-party resources.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

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. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Smart Data Collective

OCTOBER 25, 2023

In the 1990s, OLAP tools allowed multidimensional data analysis. The early 2000s brought self-service BI solutions for user-created reports and dashboards. Engagement metrics, such as likes, comments, shares, and click-through rates, provide insights into how audiences interact with content.

Key Performance Indicator 95

Key Performance Indicator Business Intelligence Data-driven Metrics 95

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. The power of Presto in Uber’s data-driven journey Today, Uber relies on Presto to power some impressive metrics.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90

Jet Global

MAY 28, 2019

To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis. Along with an extensive library of dashboard and report templates, Jet Analytics is designed to give you valuable insight into your data from day one. Enhancing a Data Warehouse with Cubes.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. Yes—but basic dashboards won’t be enough. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52