Paris Technologies

AUGUST 21, 2023

We’ve created a Rugby World Cup model with an array of versions, predicting diverse outcomes for matches at different stages of the event. The post Dreamkillers – Analyzing the 2023 Rugby World Cup with OLAP Cube Technology first appeared on PARIS Tech.

OLAP 40

OLAP Technology Modeling Management 40

FineReport

MAY 13, 2020

It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . When requiring high customization and sophisticated models, the speed is needed. But KNIME is less flexible and slow. . From Google. Pentaho Community Edition .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Jet Global

OCTOBER 22, 2020

As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products. OLAP Cubes vs. Tabular Models. The first is an OLAP model. Fortunately, there is a way to have the best of both worlds.

Modeling 52

Modeling OLAP Reporting Sales 52

CIO Business Intelligence

JANUARY 20, 2023

It uses data mining , data modeling, and machine learning to answer why something happened and predict what might happen in the future. BI analysts use data analytics, data visualization, and data modeling techniques and technologies to identify trends.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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. Data modeling organizes and transforms data. DBT: Data Build Tool.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

NOVEMBER 5, 2020

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. 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

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. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them! Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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

OCTOBER 26, 2021

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” Technically speaking, OLAP refers to methodologies for producing multidimensional analysis on high-volume data sets.). That may prompt further investigation and could reveal insights as to the appropriate corrective action.

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

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. As reporting software, it does not support OLAP. Visual ETL and UI for data relationships and modeling with ETL. . FineReport. Crystal Reports. Price: Quote-based.

Reporting 97

Reporting Slice and Dice OLAP Visualization 97

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

APRIL 2, 2019

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. In a recent McKinsey survey of 3,000 business executives, 41% responded that they were uncertain of the benefits of AI for their business.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. Data modeling basics. Data Modeling. This blog is based upon a recent webcast that can be viewed here.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. They create reliable, consistent and communicable models for representing data. Graph Databases vs Relational Databases.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

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. to analyze past events to forecast future events.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

erwin

JUNE 7, 2022

Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Data Modeling. Business Focus.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We discuss data model design for both NoSQL databases and SQL data warehouses.

Data Warehouse 104

Data Warehouse Data Lake OLAP Cost-Benefit 104

Sisense

APRIL 21, 2019

With a comprehensive, BI-focused data strategy, you and your stakeholders will know what your ideal data model should look like once all your data is moved over. What does all this have to do with my data model ?” Your data infrastructure underpins your data model and powers all of your business-critical IT systems.

OLAP 72

OLAP Modeling Manufacturing Marketing 72

Smart Data Collective

APRIL 2, 2019

The way to work around this shortcoming is to use OLAP cubes or data models generated within memory, but these will take time to develop and test, especially since they need to be scalable to the level of use in a data lake. The Third Problem – Preparation of Data.

Data Lake 106

Data Lake Big Data OLAP Testing 106

FineReport

MAY 29, 2020

Business understanding’ is realizing in-depth data analysis and smart data forecasting via analysis and prediction functions such as data mining, predictive modeling, and so on. If you have advanced requirements for OLAP analysis or prediction, the BI suite is a better choice. . The ‘data’ part is the statistics and data display. .

Reporting 94

Reporting OLAP Visualization Business Intelligence 94

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jedox

DECEMBER 3, 2020

Users should be able to create their own integrated plans and reports based on the same data model and business logic. Legacy solution users will also want to look for familiar features: an in-memory OLAP database, an easy to model multi-cube architecture and cell-based spreadsheet style reporting.

OLAP 57

OLAP Cost-Benefit Data-driven Finance 57

Jet Global

FEBRUARY 8, 2021

This change also complicates matters considerably whenever you make changes to the underlying database, such as when your company builds custom extensions or installs third-party products alongside Microsoft D365 BC, or when Microsoft adds new features to the product that result in changes to the underlying data model.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

Jet Global

DECEMBER 1, 2020

In addition, you will also need some knowledge of tabular models, as well as understanding the underlying database architecture of the ERP system or other applications that you are reporting against. A non-developer can easily build a basic data warehouse including OLAP Cube or Tabular Model with Jet Analytics in as little as 30 minutes.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). But are those tools powered by artificial intelligence? What are some of the core components of business intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Machine Learning 75

In(tegrate) the Clouds

OCTOBER 7, 2016

Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. Showcase, SQRIBE all get imbibed and don’t forget OLAP@ Work.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Jet Global

OCTOBER 7, 2020

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. With a short time to value, you can be up and running in an hour and seeing tangible benefits before the end of your next reporting cycle.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. Introduction. BTW, videos for Rev2 are up: [link]. That’s impressive.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. What About “Business Intelligence”? BI is also about accessing and exploring your organization’s data.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

SEPTEMBER 27, 2023

QRadar Log Insights’ AI model acts as a security analyst who knows exactly what to hunt for. Threat hunting is provided with Kestrel, an open source threat hunting language that integrates lightning-fast federated search, threat intelligence, and analytics all in one engine.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. All data is divided into strip-shaped models in Crystal Report. Crystal Reports uses a particular cross-tab model to create cross-reports. The single-table model of Crystal Reports cannot support sharding.

Reporting 84

Reporting OLAP Dashboards Data mining 84

Jet Global

APRIL 19, 2021

These tasks include up-front analysis, design, and modeling. 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. Reclaim Developer Hours. With data warehouse automation, you can complete this in hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Lastly, it’s billed in a pay-for-what-you-use model, and provisioning is straightforward and quick.

Big Data 90

Big Data Data Warehouse Advertising OLAP 90

FineReport

JULY 16, 2021

You need the ability of data analysis to aid in enterprise modeling. OLAP is a data analysis tool based on data warehouse environment. Data Analysis. Moreover, it solves the shortcoming of low efficiency of multi-dimensional analysis based on OLTP analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

APRIL 27, 2020

Dibandingkan dengan software serupa lainnya, software-software ini dapat memperkirakan data karena teknologi analisis OLAP dan data mining-nya. Semua data akan dibagi menjadi model berbentuk strip dalam Crystal Report. Crystal Report menggunakan model cross-tab tertentu untuk membuat cross-report. Fragmen laporan.

Reporting 84

Reporting Dashboards OLAP Software 84

AWS Big Data

MARCH 7, 2023

Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores. It helps you build, train, and deploy models consuming the data from repositories in the data hub.

Analytics 95

Analytics Data Warehouse Data Lake Metadata 95

Jet Global

JANUARY 15, 2021

In many respects, it is more akin to some of the very complex data warehousing and OLAP tools of the past–perhaps with an even steeper learning curve. When the underlying data model changes, Jet Analytics provides an updated adapter to accommodate those changes without additional effort on the part of the partner or the customer.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72