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Sisense targets embedding AI with latest new features
Tools such as an MCP server and a natural language assistant demonstrate the vendor's evolution toward artificial intelligence as the interface for analytics.
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Data science applications across industries in 2026
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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ThoughtSpot automates full platform with new Spotter agents
With agents for data modeling, dashboard development and embedding applications, the vendor is simplifying processes that have historically slowed analytics workflows.
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9 examples of business intelligence use cases for companies
BI tools and applications can help improve decision-making, strategic planning and other business functions. Here's a look at nine top BI use cases for organizations.
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Data Science & Analytics Evaluate
Data science applications across industries in 2026
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 Get Started
Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications. Using them in complementary ways enables a comprehensive data analytics strategy.
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BI Management Evaluate
9 examples of business intelligence use cases for companies
BI tools and applications can help improve decision-making, strategic planning and other business functions. Here's a look at nine top BI use cases for organizations.
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Data integration News
4 trends that shaped data management, analytics in 2025
With each relating to agentic AI development, tendencies included nearly universal support for MCP and rising emphasis on semantic modeling, among others.
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Data Visualization News
ThoughtSpot automates full platform with new Spotter agents
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Data governance Manage
How data lineage became a boardroom metric
Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments.
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Data science applications across industries in 2026
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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9 examples of business intelligence use cases for companies
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15 common data science techniques to know and use
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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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Generative AI can improve -- not replace -- predictive analytics
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10 dashboard design principles and best practices
Dashboards are a key tool for delivering analytics data to business users. Here's how BI teams can design effective dashboards to help drive informed decision-making.
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Real-time edge analytics use cases for business
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Using simulation forecasting in business analytics
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Business Analytics/Business Intelligence Basics
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Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications. Using them in complementary ways enables a comprehensive data analytics strategy.
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10 dashboard design principles and best practices
Dashboards are a key tool for delivering analytics data to business users. Here's how BI teams can design effective dashboards to help drive informed decision-making.
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Business intelligence technology
Sisense targets embedding AI with latest new features
Tools such as an MCP server and a natural language assistant demonstrate the vendor's evolution toward artificial intelligence as the interface for analytics.
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Data visualization
ThoughtSpot automates full platform with new Spotter agents
With agents for data modeling, dashboard development and embedding applications, the vendor is simplifying processes that have historically slowed analytics workflows.
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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.
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