Dashboards Metrics OLAP Presentation 
Jet Global
APRIL 2, 2019
But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
Sisense
AUGUST 11, 2019
BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. See an example: Explore Dashboard. Need a different insight or query?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Jet Global
AUGUST 14, 2019
But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
Jet Global
OCTOBER 2, 2019
But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
CIO Business Intelligence
JANUARY 20, 2023
BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.
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.
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.
Expert insights. Personalized for you.
80 
Let's personalize your content