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.

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Data Science Azure Power BI Business Intelligence 246

Dataconomy

MARCH 5, 2025

Key skills: Proficiency in analytics tools like Spark and SQL, knowledge of statistical and machine learning methods, and experience with data visualization tools such as Tableau or Power BI. Data analytics: Identifying trends and patterns to improve business performance.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Dataconomy

JULY 28, 2023

How to become a data scientist Data transformation also plays a crucial role in dealing with varying scales of features, enabling algorithms to treat each feature equally during analysis Noise reduction As part of data preprocessing, reducing noise is vital for enhancing data quality.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Dataconomy

MARCH 24, 2023

Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. What is business intelligence?

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Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

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Analytics Analytics Data Analyst Data Science 52

Pickl AI

OCTOBER 15, 2024

It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. Employing data visualisation can help businesses uncover trends and anomalies, making it easier to analyse performance metrics and operational efficiencies.

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