Dataconomy

JUNE 13, 2023

This analysis may involve feature engineering, dimensionality reduction, clustering, classification, regression, or other statistical modeling approaches. From zero to BI hero: Launching your business intelligence career Optimal resource allocation is another key aspect of decision intelligence.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

Dataconomy

JULY 24, 2023

Familiarity with regression techniques, decision trees, clustering, neural networks, and other data-driven problem-solving methods is vital. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. Machine learning Machine learning is a key part of data science. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

AWS Machine Learning Blog

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. versions), as well as visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

AWS 133

AWS SQL Database AI 133

Pickl AI

APRIL 3, 2025

Modeling & Algorithms: Applying statistical models (like regression, classification, clustering) or Machine Learning algorithms to identify deeper patterns, make predictions, or classify data points. Pattern & Trend Spotting: Makes it easier to identify relationships, trends over time, clusters, and anomalies.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

JUNE 12, 2023

Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science. They can leverage the power of R or Python to develop complex models and then visualize the results in Tableau for better understanding and communication.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

APRIL 26, 2024

Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. It is essential to provide a unified data view and enable business intelligence and analytics. You’re tasked with predicting sales for a retail store.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Data Science Blog

MARCH 30, 2023

Diese Anwendungsfälle sind jedoch analytisch recht trivial und bereits mit einfacher BI (Business Intelligence) oder dedizierten Analysen ganz ohne Process Mining bereits viel schneller aufzuspüren. Oft bieten bereits ERP-Systeme eine eigene Erkennung hierfür an, die sich mit einfach gestrikter BI leicht erweitern lässt.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147