Dataconomy

MAY 10, 2023

Open-source business intelligence (OSBI) is commonly defined as useful business data that is not traded using traditional software licensing agreements. This is one alternative for businesses that want to aggregate more data from data-mining processes without buying fee-based products.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

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.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

IBM Journey to AI blog

SEPTEMBER 19, 2023

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. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JANUARY 15, 2025

Data Visualization Tools These tools create visual representations of data, such as graphs and dashboards, making complex data sets easier to understand. Data Mining Tools Data mining tools analyse large datasets to discover hidden patterns or relationships within the data.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

APRIL 15, 2024

Key Takeaways Pickl.AI’s Data Science Job Guarantee Program offers an online comprehensive curriculum and practical training. With a 1-year job guarantee, it focuses on essential skills like Python, Tableau, SQL, and machine learning. Data Mining : Think of data mining as digging for gold in a mountain of data.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. Data Visualisation Visualisation of data is a critical skill.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

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