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AI in sports: Agents and the future of analytics
Pragmatic advances such as improved data integration and streamlined information delivery will aid teams, as will transformative gains including agent-driven game strategies.
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AI in sports: How modern tools are changing analytics
With recent technological advances making it easier to access and operationalize data, advanced analysis is now the norm for teams when evaluating players and plotting strategy.
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AI in sports: A look back at the analytics pioneers
Where once baseball's Oakland A's gained a strategic edge by discovering undervalued statistics, teams across all sports are now using emerging technologies to inform decisions.
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Using simulation forecasting in business analytics
Simulation forecasting allows organizations to explore future scenarios, strengthen planning efforts and improve outcomes through advanced modeling techniques.
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Data Science & Analytics Manage
Using simulation forecasting in business analytics
Simulation forecasting allows organizations to explore future scenarios, strengthen planning efforts and improve outcomes through advanced modeling techniques.
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BI Technology Manage
Real-time edge analytics use cases for business
Real-time edge analytics use cases in manufacturing, logistics, healthcare and retail show how localized processing balances latency, compliance and integration.
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BI Management News
AI in sports: How modern tools are changing analytics
With recent technological advances making it easier to access and operationalize data, advanced analysis is now the norm for teams when evaluating players and plotting strategy.
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Data integration News
Fivetran's Tobiko Data acquisition aids data transformation
The purchase provides the data integration vendor with its own data transformation framework to augment capabilities it provides through integrations with third-party specialists.
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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 Manage
How AI-powered governance enables scalable AI deployment
AI-powered governance tools help organizations move AI from trials to production by automating compliance, mitigating risks and safeguarding brand reputation.
Sponsored Sites
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Artificial Intelligence
A Guide to Unlock the Power of Private AI
Private AI is a powerful solution enabling businesses to access the insights provided by artificial intelligence securely while maintaining full control of data. While the benefits are compelling, companies must first undertake the necessary groundwork to capitalize on private AI. Explore this site to understand how private AI transforms operations across industries and how companies responsibly incorporate it into their business practices.
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Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
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Artificial Intelligence
HPE & Intel: Harness AI
Learn how HPE & Intel are pioneering advancements in artificial intelligence (AI) and machine learning (ML) technologies. As a global leader in semiconductor innovation, Intel continues to drive the evolution of AI across diverse industries, from healthcare and finance to autonomous vehicles and edge computing. Explore the latest developments and strategies shaping the future of AI-driven technologies.
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Find Solutions For Your Project
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Evaluate
What makes an effective data science team structure?
Data science team structures vary in strength, and their success depends on how roles and leadership align with business goals to meet analytics needs.
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Synthetic data vs. real data for predictive analytics
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Data science applications across industries in 2025
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7 top cloud-based analytics tools for enterprise use
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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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Manage
Real-time edge analytics use cases for business
Real-time edge analytics use cases in manufacturing, logistics, healthcare and retail show how localized processing balances latency, compliance and integration.
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Using simulation forecasting in business analytics
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7 predictive analytics skills to improve simulation modeling
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The importance of data products
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Business Analytics/Business Intelligence Basics
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Get Started
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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Get Started
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
- Need-to-knows for meeting today's connectivity demands –White Paper
- The SecOps Handbook to TDIR –eBook
- An Introduction to Event 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 features aimed at enabling users to create cutting-edge applications capable of autonomous action.
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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.
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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.
Search Business Analytics Definitions
- What is data preparation? An in-depth guide
- What is data curation?
- What is unstructured data?
- What is social media analytics?
- What is an analytics database (analytical database)?
- What is business intelligence (BI)? A detailed guide
- What is days sales outstanding (DSO)?
- What is big data analytics?