New & Notable
News
Incorta unveils features as part of new focus on AI
The vendor's new AI-focused features include a Model Context Protocol layer for developing agents and prebuilt agentic AI capabilities to assist with specific tasks.
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.
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.
Trending Topics
-
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.
-
BI Technology News
Best practices for using simulation models in business
Simulation models provide businesses with a framework for forecasting and strategy through tested practices in finance, healthcare and logistics.
-
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.
-
Data integration News
Mooncake acquisition boosts Databricks database capabilities
Five months after purchasing PostgreSQL specialist Neon and turning its tech into Lakebase, the data platform vendor is adding new database capabilities to aid AI development.
-
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.
-
Data governance Get Started
What is data lineage? Techniques, best practices and tools
Organizations can strengthen data governance by mapping data lineage across systems. Learn how tools help to simplify tracking, compliance and lifecycle visibility.
Sponsored Sites
-
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.
-
Aerospace
Wind River For Aerospace & Defense
-
Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
Featured Authors
Find Solutions For Your Project
-
Evaluate
Best practices for using simulation models in business
Simulation models provide businesses with a framework for forecasting and strategy through tested practices in finance, healthcare and logistics.
-
What makes an effective data science team structure?
-
Synthetic data vs. real data for predictive analytics
-
Data science applications across industries in 2025
-
-
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.
-
Top 12 business intelligence challenges to manage
-
Generative AI can improve -- not replace -- predictive analytics
-
Experts lay out data illiteracy's dangers, propose remedies
-
-
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.
-
Using simulation forecasting in business analytics
-
7 predictive analytics skills to improve simulation modeling
-
The importance of data products
-
Business Analytics/Business Intelligence Basics
-
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.
-
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.
-
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
-
News
View All -
Business intelligence technology
Incorta unveils features as part of new focus on AI
The vendor's new AI-focused features include a Model Context Protocol layer for developing agents and prebuilt agentic AI capabilities to assist with specific tasks.
-
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.
-
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.
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)?