Jet Global

OCTOBER 26, 2021

An inventory count sheet, for example, extracts information from the enterprise resource planning (ERP) system and may even present dollar figures associated with each unique stock-keeping unit (SKU). Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.”

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

Jet Global

NOVEMBER 5, 2020

Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

FineReport

AUGUST 14, 2020

With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. Many enterprises are eager to build a reporting system to solve the problems of report generation and management. There are two ways for enterprises to build reporting systems.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Jet Global

SEPTEMBER 4, 2020

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

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. 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

Ontotext

JUNE 10, 2021

This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Octopai

DECEMBER 22, 2019

Regulations such as GDPR , CCPA , BCBS 239, New York Data Security Act and others are expanding enterprise needs for metadata lineage management and automated metadata management systems. Expanded our support of Microsoft OLAP cube , an innovative open-source feat. Named by Solutions Review as an Analytics Vendor to Watch, 2020.

Metadata 54

Metadata Management OLAP Data Governance 54

FineReport

MAY 29, 2020

If you have advanced requirements for OLAP analysis or prediction, the BI suite is a better choice. . FineReport is a professional BI reporting tool designed for the enterprise. . The web portal for enterprise reporting provides a very secure environment for reports management, access controls, automated reporting, and so on.

Reporting 94

Reporting OLAP Software Visualization 94

Octopai

JANUARY 8, 2020

Smart enterprises will keep an eye on this one and invest in the automated tools needed for compliance. For example: – Business forecasting – Accurate, reliable business forecasts are essential for enterprises to determine annual resource allocations. Senate that could be the nation’s first federal-level data privacy law.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Jet Global

MARCH 5, 2019

With all the attention being paid to artificial intelligence (AI) these days, it’s no surprise that enterprise leaders are scrambling to find ways to shoehorn AI implementations into their technology stack. What are some of the core components of business intelligence? Download Now. 1] [link]. [2] 2] [link].

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Jet Global

OCTOBER 7, 2020

Enterprise Business Intelligence. Jet Analytics provides a pre-built data warehouse , OLAP cubes , and tabular models with a platform for non-technical users to easily create their own reports in Excel or Power BI. It helps simplify and speed up data management and analytics efforts in D365 F&SCM.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

FineReport

DECEMBER 22, 2019

Enterprise Reporting For Visualization . Enterprise Reporting For Analysis . ‘Business understanding’ means realizing in-depth data analysis and smart data forecast, via BI functions such as OLAP analysis, data mining, and so on. It can deal with simple temporary queries. From FineReport. From FineReport. FineReport.

Reporting 90

Reporting Software Dashboards OLAP 90

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” In the new paradigm, real-time financial reporting tools sit at the center of the business, connecting all of the systems that keep the enterprise running smoothly.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

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.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Sisense

APRIL 21, 2019

It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. Whether you’re building a game-changing product or rebuilding your data model, having a firmly-defined goal makes all the difference when it comes to the success of your enterprise.

OLAP 72

OLAP Modeling Manufacturing Marketing 72

Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings.

Data Lake 83

Data Lake Big Data OLAP Testing 83

erwin

AUGUST 15, 2022

Video: Empower 2021: Mitigating the risk associated with sensitive data across the enterprise. The first and most important thing to recognize and understand is the new and radically different target environment that you are most likely designing a data model when choosing a NoSQL database, namely a data lake or data lakehouse. Operational.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

FEBRUARY 28, 2023

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. An analyst can use OLAP aggregations to analyze buying patterns by grouping customers by demographic, geographic, and psychographic data, and then summarizing the data to look for trends.

Online Analytical Processing 71

Online Analytical Processing OLAP Slice and Dice Analytics 71

erwin

JUNE 7, 2022

Video: Empower 2021: Mitigating the risk associated with sensitive data across the enterprise. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. Machine Learning. End User Tools. Client Server Web. Client Server.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. What are business intelligence solutions, or BI solutions meaning?

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Online Analytical Processing (OLAP).

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. The first is an OLAP model. To perform multidimensional analysis on large data sets, OLAP data were organized into “cubes.” For over two decades, insightsoftware has provided over 27,000 organizations with world-class financial reporting and enterprise performance management tools.

Modeling 52

Modeling OLAP Reporting Sales 52

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Hoewever, it can be a double-edged sword for enterprises.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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

Jet Global

DECEMBER 2, 2019

Both are paramount to business operations and both are required for an enterprise to function, thrive and compete. Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse. OLAP cubes do all the work by dimensionalizing all combinations of slicing and dicing the data ahead of time.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

FineReport

JANUARY 6, 2020

The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. FineReport is a java reporting tool designed for enterprises to deal with the demands for various, frequent, and complex reports. Best for: enterprises with BI needs.

Reporting 97

Reporting Slice and Dice OLAP Cost-Benefit 97

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

OCTOBER 18, 2023

For Connection name , enter a name (for example, olap-azure-synapse ). Provide a meaningful but memorable name for your project (for example, Azure Synapse to Amazon Redshift). To connect to the Azure Synapse source data warehouse, choose Add source. Choose Azure Synapse and choose Next. For Server name , enter your Azure Synapse server name.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

FineReport

APRIL 27, 2020

Dibandingkan dengan software serupa lainnya, software-software ini dapat memperkirakan data karena teknologi analisis OLAP dan data mining-nya. Enterprise Reporting: The 2020’s Comprehensive Guide. Enterprise Reporting: The 2020’s Comprehensive Guide. Yang kedua adalah software BI seperti Tableau dan PowerBI. Facebook Comment.

Reporting 84

Reporting Dashboards Software OLAP 84

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Enterprise Reporting: The 2020’s Comprehensive Guide. One is professional reporting tools such as FineReport and Jasper Report, which are strong in the richness of report styles, the diversity of charts, and print function.

Reporting 84

Reporting OLAP Dashboards Data mining 84

Jet Global

JULY 29, 2020

As a heavyweight in the world on enterprise software, Oracle makes a lot of companies scramble any time it decides to stop supporting one of its core products. What do your r eports need to include to improve enterprise performance management? Strong enterprise reporting that accommodates formatted templates and reports.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Jet Global

APRIL 19, 2021

Whether a business is building a new data warehouse and set of OLAP cubes or revamping an existing one, the project requires developers to write a massive amount of SQL code. Though there is no shortage of ways automation can improve operations, these are the five most important benefits of data warehouse automation. Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Jen Stirrup

OCTOBER 30, 2022

There are lots of definitions out there, but I like the Gartner one best: “ A broad category of applications and technologies for gathering, storing, analysing, sharing and providing access to data to help enterprise users make better business decisions.”

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52