Jet Global
OCTOBER 26, 2021
The terms “reporting” and “analytics” are often used interchangeably. In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Financial Reporting.
Smart Data Collective
JUNE 16, 2022
Every data scientist needs to understand the benefits that this technology offers. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Types: HOLAP stands for Hybrid Online Analytical Processing.
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Octopai
JANUARY 21, 2020
How much time has your BI team wasted on finding data and creating metadata management reports? However, over time new technologies and tools developed to ease data reporting and analysis. So then, what if you need to find several dimensions of the data and report on its data lineage?
Jet Global
APRIL 20, 2020
Finance leaders that were quick to recognize the new paradigm got a head start, using the new technology to make their organizations more efficient and profitable. A new paradigm in reporting and analysis is emerging. Over the past few decades, however, technology has been closing that gap.
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.
Sisense
AUGUST 11, 2019
BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? Or is Business Intelligence One Part of Business Analytics?
AWS Big Data
MARCH 7, 2023
Data inbound This section consists of components to process and load the data from multiple sources into data repositories. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. However, it’s not mandatory to use the same technologies.
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