New & Notable
News
ThoughtSpot Embedded update boosts agentic AI capabilities
The new release lets customers, including ISVs, embed the latest version of the analytics vendor's Spotter agent, which now enables access to unstructured data.
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.
News
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.
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.
Trending Topics
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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 News
Sigma Computing intros array of new AI, analytics tools
The new features, most of which are not yet generally available, are aimed at enabling more nontechnical employees within enterprises to work with data to inform decisions.
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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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Aerospace
Wind River For Aerospace & Defense
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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.
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
What is a standard operating procedure (SOP)?
A standard operating procedure is a set of step-by-step instructions for performing a routine activity.
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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.
Multimedia
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
Sigma Computing intros array of new AI, analytics tools
The new features, most of which are not yet generally available, are aimed at enabling more nontechnical employees within enterprises to work with data to inform decisions.
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Business intelligence technology
ThoughtSpot Embedded update boosts agentic AI capabilities
The new release lets customers, including ISVs, embed the latest version of the analytics vendor's Spotter agent, which now enables access to unstructured data.
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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.
Search Business Analytics Definitions
- What is a standard operating procedure (SOP)?
- 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)?