Data Science Blog

JULY 23, 2023

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Data Science Blog

NOVEMBER 15, 2023

This aspect can be applied well to Process Mining, hand in hand with BI and AI. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. SAP ERP), the extraction of the data and, above all, the data modeling for the event log.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Dataconomy

MARCH 5, 2025

Descriptive analytics is a fascinating area of data analytics that allows businesses to look back and glean insights from their historical data. By summarizing past events and performance metrics, organizations can understand trends, patterns, and behaviors that shape their decision-making processes.

Analytics 91

Analytics Analytics Predictive Analytics Data Wrangling 91

Dataconomy

MAY 26, 2025

Predictive modeling in business analytics Predictive modeling plays a critical role in business analytics by: Statistical scoring: Utilizing databases for real-time decision-making support. AI integration: Employing artificial intelligence for automation in response to unexpected events.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Smart Data Collective

NOVEMBER 25, 2019

Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

IBM Journey to AI blog

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Additionally, reporting is a crucial element of Descriptive Analytics.

Analytics 52

Analytics Analytics Power BI Tableau 52