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Data science applications across industries in 2025
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications.
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Agents, semantic layers among top data, analytics trends
The top 10 predictions for the next few years are all influenced by the increasing deployment of AI to help make business decisions and take action.
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ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry.
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Data Science & Analytics Evaluate
Data science applications across industries in 2025
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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BI Technology News
Knime updates framework for agentic AI development
The open source analytics vendor is keeping up with competitors by providing capabilities aimed at enabling users to create cutting-edge applications capable of autonomous action.
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BI Management News
More reasoning, interoperability key to future of agentic AI
As agents evolve from hype to reality, research and industry must collaborate to improve agents' recall and ability to work together so that they can realize their full potential.
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Data integration News
Denodo unveils DeepQuery to provide AI-powered deep analysis
The data virtualization specialist's new GenAI feature lets users dig deep into their data to discover the reasons underlying what's happening within their organization.
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Data Visualization Get Started
8 steps to improve data visualization literacy
Data visualization literacy is a crucial element of analytics -- it helps you communicate findings. These eight steps can help you improve your DVL.
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Data governance News
Addition of new AI capabilities shows Starburst's growth
The open source data lakehouse vendor continues to evolve beyond being a data mesh specialist with the additions of agentic tools, a development environment and a data catalog.
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Data science applications across industries in 2025
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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7 top cloud-based analytics tools for enterprise use
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What is data preparation? An in-depth guide
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8 top cloud analytics certifications
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Problem Solve
Top 7 data preparation challenges and how to overcome them
Data preparation is a crucial but complex part of analytics applications. Don't let seven common challenges send your data prep processes off track.
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Top 12 business intelligence challenges to manage
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Generative AI can improve -- not replace -- predictive analytics
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Experts lay out data illiteracy's dangers, propose remedies
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The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture.
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What is a fully integrated cloud-based data analytics platform?
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5 top self-service analytics use cases
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Data preparation in machine learning: 4 key steps
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Business Analytics/Business Intelligence Basics
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4 types of simulation models used in data analytics
Combining different types of simulation models with predictive analytics enables organizations to forecast events and improve the accuracy of data-driven decisions.
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Get Started
What is data curation?
Data curation is the process of creating, organizing and maintaining data sets so people looking for information can access and use them.
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What is unstructured data?
Unstructured data is information, in many different forms, that doesn't follow conventional data models, making it difficult to store and manage in a mainstream relational database.
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Vendor Resources
- The SecOps Handbook to TDIR –White Paper
- How to Democratize Analytics –eBook
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Business intelligence technology
Knime updates framework for agentic AI development
The open source analytics vendor is keeping up with competitors by providing capabilities aimed at enabling users to create cutting-edge applications capable of autonomous action.
-
Data science and analytics
Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications.
-
Business intelligence technology
ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry.
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