Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The measured timestamps (and duration times in case of Task Mining) are enhanced with a time-dimension for BI applications.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Smart Data Collective

APRIL 8, 2020

The data collected in the system may in the form of unstructured, semi-structured, or structured data. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Big data and data warehousing.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Data Science Blog

JUNE 21, 2023

When accepting the investment character of big data extractions, the investment should be done properly in the beginning and therefore cost beneficial in the long term. Cloud-Based infrastructure with process mining?

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

IBM Journey to AI blog

JULY 24, 2023

An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to meet customer needs. It aims to understand what’s happening within a system by studying external data.

Analytics 69

Analytics Analytics Predictive Analytics Big Data 69

Pickl AI

SEPTEMBER 23, 2024

Synergy Between Artificial Intelligence and Data Science AI and Data Science complement each other through their unique but interconnected roles in data processing and analysis. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52