Jet Global

APRIL 20, 2020

A new paradigm in reporting and analysis is emerging. There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report).

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Present: After the data has been analyzed and sorted, it is presented to the end user in an understandable format, such as a report, chart or graph.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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. Or is Business Intelligence One Part of Business Analytics?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

AUGUST 14, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

AUGUST 1, 2024

This includes the expected response time limits for dashboard queries or analytical queries, elapsed runtime for daily ETL jobs, desired elapsed time for data sharing with consumers, total number of tenants with concurrency of loads and reports, and mission-critical reports for executives or factory operations.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Jet Global

OCTOBER 22, 2020

Power BI provides users with some very nice dashboarding and reporting capabilities. Unfortunately, it also introduces a mountain of complexity into the reporting process. Let’s begin with an overview of how data analytics works for most business applications. This process requires some very specialized expertise.

Modeling 52

Modeling OLAP Reporting Sales 52

Octopai

DECEMBER 15, 2019

This allows for better comprehension of and control over data assets , reduced report discrepancies and overall improved data intelligence across the organization. Online analytics processing will further enable advanced analytics as these technologies continue to improve through 2020 and beyond that.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

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. Real-time OLAP Traditionally, OLAP datastores were designed for batch processing to serve internal business reports.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

MARCH 7, 2023

Consumption This pillar consists of various consumption channels for enterprise analytical needs. 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.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). For example, if you are using Redshift solely for analytics purposes, you can scale the cluster up with more nodes when this happens and resume work once it is complete.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Sisense

NOVEMBER 12, 2020

We know what data warehouses do, but with so many applications that have their own databases and reporting, where does the warehouse fit inside your data stack? The primary differentiator is the data workload they serve. Cloud data warehouses in your data stack.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

OCTOBER 2, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. This is not a concern for our use case because data lakes and data warehouses are typically used to aggregate data at scale and generate daily, weekly, or monthly reports.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90

Jet Global

MAY 4, 2021

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing. Let’s begin with an overview of the reporting tools that SAP provides for its current ERP offering.

Reporting 52

Reporting IT Finance Data Warehouse 52

AWS Big Data

MARCH 13, 2025

Amberdata, a blockchain and crypto market intelligence company, uses StarTree for real-time analytics to improve query performance, reduce SLA times, and lower infrastructure costs. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution.

Management 91

Management Analytics OLAP Online Analytical Processing 91