Paris Technologies

OCTOBER 30, 2023

PARIS Tech and partner David Newton from Newton Carmen have collaborated to create an OLAP model for analysing the 2023 Rugby World Cup. Using this data model, full of every Rubgy stat imaginable, we’ve run a video series of over20 different scenarios. Turns out we were able to predict the South African winners!

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OLAP Modeling Management 52

Paris Technologies

AUGUST 21, 2023

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

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OLAP Technology Modeling Management 40

Analytics Vidhya

SEPTEMBER 15, 2022

Introduction DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).” This article was published as a part of the Data Science Blogathon. In short, […].

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OLAP Online Analytical Processing Data Science Publishing 244

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. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs.

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OLAP Analytics Visualization Dashboards 82

Paris Technologies

JULY 31, 2023

The OLAP.com blog recently published an article discussing the use of OLAP cube technology in analyzing and predicting outcomes for the 2023 Rugby World Cup. Cube technology or “OLAP” is a multi-dimensional database commonly used in Finance and Accounting for analysis, though it

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OLAP Technology Finance Publishing 52

Paris Technologies

AUGUST 31, 2023

At PARIS, you may have noticed that recently, we’ve added a touch of fun concerning “version maintenance” as a business idea by intertwining it with—of all things!—Rugby Rugby World Cup data. Now, in the context of the Rugby World Cup—which event is coming up quickly—the notion of version maintenance may seem unconventional, yet we believe that

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OLAP Technology IT Management 40

Smart Data Collective

JUNE 16, 2022

One of the most valuable tools available is OLAP. Using OLAP Tools Properly. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( Several or more cubes are used to separate OLAP databases. OLAP’s disadvantages. see more ).

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Online Analytical Processing OLAP Analytics Data Warehouse 127

DataRobot Blog

DECEMBER 19, 2019

From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. by Jen Underwood. What was hot and what was not? Read More.

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OLAP Analytics Predictive Analytics 85

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Jedox

JULY 1, 2020

In this blog post, we’ll look at the definition of OLAP as well as an overview of the technology. We explain what lies behind OLAP, what cubes have to do with it and what makes the technology so powerful for modern planning, budgeting, and forecasting. Most modern EPM solutions rely on multidimensional OLAP, also called MOLAP.

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OLAP Slice and Dice Sales Visualization 92

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.

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Reporting Slice and Dice OLAP Analytics 98

Jet Global

NOVEMBER 5, 2020

For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse. OLAP reporting based on a data warehouse model is a well-proven solution for companies with robust reporting requirements.

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Data Lake OLAP Data Warehouse Unstructured Data 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.

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Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

APRIL 2, 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.

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Enterprise OLAP Business Intelligence Internet of Things 80

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.

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Business Intelligence OLAP Marketing Scorecard 40

Jet Global

APRIL 10, 2019

Jet Analytics is a business intelligence and reporting solution with pre-built data warehouse and OLAP cubes for Dynamics GP. Data Warehouse and OLAP Cubes. Management Reporter. Jet Analytics. Multi Data Source Consolidation. Dashboards and KPIs. Power Bi Integration. Advanced Security. Compare Management Reporter and Jet Reports.

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Reporting Management OLAP Data Warehouse 75

Cloudera

DECEMBER 1, 2020

For example, a utility company using the operational database for OLTP use cases can use Cloudera’s operational database to store smart meter data and later use the data for OLAP use cases. The organization may also have components for doing OLAP. Both the Hbase Master and worker nodes must have dedicated storage capacity. .

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OLAP Metadata Finance Technology 62

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.

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Data mining Business Intelligence OLAP Key Performance Indicator 75

Jedox

DECEMBER 3, 2020

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. How will you secure a lower total cost of ownership? Cost, of course, is always an important consideration.

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OLAP Cost-Benefit Data-driven Finance 57

Octopai

DECEMBER 22, 2019

Expanded our support of Microsoft OLAP cube , an innovative open-source feat. Announced our metadata management automated solution support across the entire Microsoft BI Stack. Named by Solutions Review as an Analytics Vendor to Watch, 2020. Named by CRN as a Top 10 Data Analytics Company to Watch.

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Metadata Management OLAP Data Governance 72

CIO Business Intelligence

NOVEMBER 14, 2022

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. These DSS include systems that use accounting and financial models, representational models, and optimization models.

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Data mining Data-driven Statistics OLAP 127

FineReport

AUGUST 14, 2020

The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc.

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Reporting Informatics OLAP Data Warehouse 98

Octopai

AUGUST 30, 2020

Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests.

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OLAP Metadata Visualization Data Processing 84

Octopai

JANUARY 8, 2020

As a company’s data landscape grows and evolves, more computing “horsepower” is needed to perform the ETL and OLAP cube processing required to populate data warehouses and drive reports and dashboards. . – Hardware configuration – This is an area BI professionals don’t think much about, but it’s important.

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Metadata Key Performance Indicator OLAP Forecasting 72

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.

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Data Warehouse OLAP Reporting Finance 90

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

FineReport

MAY 29, 2020

If you have advanced requirements for OLAP analysis or prediction, the BI suite is a better choice. . In conclusion, if you only need to do data display, reporting, and basic data analysis, a bi reporting tool is enough to satisfy your demands. How does BI Reporting Work?

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Reporting OLAP Visualization Business Intelligence 94

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.” A few decades ago, technology professionals developed methods for collecting, aggregating, and staging their most important information into data warehouses.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Ontotext

JUNE 10, 2021

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). Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

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Metadata Cost-Benefit OLAP Modeling 119

FineReport

MAY 31, 2020

Jika Anda memerlukan analisis atau prediksi OLAP, maka software BI lebih cocok untuk Anda. Kesimpulannya, jika Anda hanya perlu menampilkan, melaporkan, dan menganlisis data, software pelaporan BI cukup untuk menangani semua ini. Bagaimana Cara Kerja Software Pelaporan BI?

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OLAP Software Business Intelligence Data mining 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.

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Online Analytical Processing OLAP Slice and Dice Analytics 74

Jet Global

OCTOBER 2, 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 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

APRIL 30, 2019

You also get a pre-built data warehouse and cubes (tabular or OLAP) that uses these data entities to de-normalize the tables and keep all your governed data in one place. It also supports incremental updates to keep this information current. With Jet Analytics, we provide an easy-to-setup pre-packaged set of data entities with our solution.

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Finance OLAP Reporting Data Warehouse 73

Jet Global

MARCH 5, 2019

Business intelligence, by definition, “includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance” in a business environment. What are some of the core components of business intelligence?

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Business Intelligence OLAP Visualization Reporting 75

Sisense

APRIL 21, 2019

It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. Lastly, we can’t help but mention the star schema here, which has elements arranged around a central core and looks like an asterisk. This model is great for querying informational indexes as part of a larger data pool.

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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.

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Data Lake Big Data OLAP Testing 81

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. But on the whole, BI is more concerned with the whats and the hows than the whys.

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Business Intelligence Business Analytics Analytics OLAP 75