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. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

OCTOBER 2, 2019

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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

FEBRUARY 28, 2023

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. It helps you see your mission-critical metrics at different aggregation levels in a single pane of glass. This will allow for a smoother migration of OLAP workloads, with minimal rewrites.

Online Analytical Processing 71

Online Analytical Processing OLAP Slice and Dice Analytics 71

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

CIO Business Intelligence

JANUARY 20, 2023

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. That company could also use its BI capabilities to discover which products are most commonly delayed or which modes of transportation are most often involved in delays.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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

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. Jet’s purpose-built connection to BC allows you to see all tables and columns in the underlying database, including any customizations.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

Smart Data Collective

OCTOBER 25, 2023

In the 1990s, OLAP tools allowed multidimensional data analysis. Engagement metrics, such as likes, comments, shares, and click-through rates, provide insights into how audiences interact with content. From sentiment analysis to tracking engagement metrics, the potential for enhancing customer insights with social data is boundless.

Key Performance Indicator 97

Key Performance Indicator Business Intelligence Data-driven Metrics 97

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 93

OLAP Data Lake Data-driven Snapshot 93

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. The good news is, nowadays you can find business intelligence solutions with pre-built data warehouses to eliminate complexity, significantly reduce cost, and decrease risk. Download Now.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52