Dataconomy

MARCH 17, 2025

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. What is augmented analytics?

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

Dataconomy

SEPTEMBER 4, 2023

Leveraging third-party data : Incorporating external data sources, such as weather, social media trends, and market reports, enriches your analysis, providing a more comprehensive understanding of customer behavior and market dynamics. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Data Governance 64

Data Governance ML ML Artificial Intelligence 64