DataKitchen

NOVEMBER 5, 2024

Finally, the Gold laye r represents the pinnacle of the Medallion architecture, housing fully refined, aggregated, and analysis-ready data. Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Smart Data Collective

JUNE 26, 2019

Fortunately, there are specialized software options that can discover the data your company has — dark or otherwise — and clean it so that you can eventually use the data to meet your business analysis goals. Get Rid of Blind Spots in Statistical Models With Machine Learning.

Statistics 111

Statistics ROI Machine Learning Measurement 111

FineReport

NOVEMBER 26, 2019

1) Professional statistical analysis. In terms of R language, it is best at statistical analysis, such as normal distribution, using an algorithm to classify clusters and regression analysis. This kind of analysis is like using data as an experiment. And there is also hypothetical simulation analysis.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

FineReport

DECEMBER 19, 2019

It can be used as a portal for data reporting, or as a platform for business analysis. For newbies, a tool with low learning difficulty but powerful analytical performance cannot be better. Pandas incorporates a large number of analysis function methods, as well as common statistical models and visualization processing.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

Alation

OCTOBER 12, 2022

Quantitative analysis can take two forms: the traditional business analysis of numerical data, or the more academic quantitative analysis. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics.

Statistics 52

Statistics Sales Testing Marketing 52