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.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. The presentation is currently limited to the current situation on the labor market.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

Data Science Blog

NOVEMBER 15, 2023

Nevertheless, process mining can be considered a sub-discipline of business intelligence. It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik. The post Object-centric Process Mining on Data Mesh Architectures appeared first on Data Science Blog.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataconomy

JULY 28, 2023

In the digital age, the abundance of textual information available on the internet, particularly on platforms like Twitter, blogs, and e-commerce websites, has led to an exponential growth in unstructured data. What are the best data preprocessing tools of 2023?

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

JANUARY 15, 2025

According to a report by Gartner, organizations that utilize BI tools can improve their operational efficiency and gain competitive advantages over rivals. Furthermore, a study indicated that 71% of organisations consider Data Analytics a critical factor for enhancing their business performance.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

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

Alation

MARCH 29, 2022

Business teams still had to request data. Although it became easier for BI and analytics teams to create custom reports and dashboards in tools such as Tableau, Looker, and Power BI those tools still isolated the user from data. Business analysts needing to find data to create new analysis and reports.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96