Jet Global

APRIL 20, 2020

Over time, accounting software evolved to include inventory management, human resources, and even CRM. A new paradigm in reporting and analysis is emerging. First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently.

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 Entities.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

APRIL 2, 2019

But business intelligence software , built to give businesses the opportunity to collect, unify, sort, tag, analyze, and report on the vast amounts of data at their disposal, must be a focus for businesses hoping to gain an AI advantage down the road. It All Starts with Data. Enter data warehousing. So how is the data extracted?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Octopai

DECEMBER 15, 2019

Data lineage management, once a time-consuming process of manual data tracking used only in times of crisis, has been transformed by automation into an essential tool for making informed business decisions. Metadata Management Automation Increases Accuracy. The last decade has been an important one for enterprise data lineage.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Consumption This pillar consists of various consumption channels for enterprise analytical needs. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

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

Jet Global

AUGUST 14, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing. So how is the data extracted?

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

NOVEMBER 12, 2020

While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge. Software updates, hardware, and availability are all managed by a third-party cloud provider. . Cloud data warehouses.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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

OCTOBER 2, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing. So how is the data extracted?

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). Inversely though, if your cluster is used for production reporting (i.e. One of the main settings to configure is your WLM (workload management). So let’s dive in!

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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. A model is usually a select statement, defined in.sql files.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

JUNE 21, 2023

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82