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

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

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. If the exploratory work needs to move on to testing and production, they can plan appropriately. This way, the queries run much faster. It lands as raw data in HDFS.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. According to Gartner, the goal is to design, model, align, execute, monitor, and tune decision models and processes. Model-driven DSS. They emphasize access to and manipulation of a model.

Data mining 123

Data mining Data-driven Statistics OLAP 123

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

Jen Stirrup

OCTOBER 30, 2022

These propensity models are useful for understanding which customers are most likely to purchase a given set of products. This model can assist in decision making and in focusing marketing efforts. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing).

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

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. It essentially allows businesses to fail fast in their testing. Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98