Metrics OLAP Reference 
Smart Data Collective
JUNE 16, 2022
One of the most valuable tools available is OLAP. Using OLAP Tools Properly. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( Several or more cubes are used to separate OLAP databases. OLAP’s disadvantages. see more ).
AWS Big Data
AUGUST 6, 2024
Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs.
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CIO Business Intelligence
JANUARY 20, 2023
The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.
Octopai
AUGUST 30, 2020
Microstrategy coverage enhancements: Reports Data sets Metrics Filters Facts Attributes Schemas Dossiers. Column-to-column lineage. What else, you ask? Here’s what we’ve added in terms of coverage and enhancements: Amdocs Data Hub – New ETL Extractor.
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.
AWS Big Data
MARCH 7, 2023
Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.
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.
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