Data Science Blog

NOVEMBER 15, 2023

This aspect can be applied well to Process Mining, hand in hand with BI and AI. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Blog

MARCH 30, 2023

Der andere Teil des Process Minings ist jedoch noch viel wesentlicher, denn es handelt sich dabei um das Fundament der Analyse: Die Datenmodellierung des Event Logs. Jedes Process Mining Tool benötigt pro Use Case mindestens ein Event Log. Idealerweise werden nur fertige Event-Logs bzw.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Dataconomy

MARCH 24, 2023

Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

OCTOBER 15, 2024

Diagnostic Analytics Diagnostic analytics goes a step further by explaining why certain events occurred. It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246