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7 examples of augmented analytics in the enterprise
Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets. Explore use cases across industries.
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With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications.
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How to implement a business intelligence project in 7 steps
The BI implementation process involves a series of steps that organizations need to take to ensure projects are completed successfully and meet business goals.
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Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications and using them in complementary ways enables a comprehensive data analysis strategy.
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7 examples of augmented analytics in the enterprise
Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets. Explore use cases across industries.
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BI Technology News
With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications.
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BI Management Manage
Business intelligence reporting: What it is, how it works
BI reporting presents data in various formats so employees can interpret and act on that information in a timely manner without relying on a data analyst. But challenges exist.
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Data integration News
Snowflake unveils AI development, security capabilities
The vendor's latest includes additions to Cortex AI that simplify developing conversational AI tools and new security measures after its environment was infiltrated in May.
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Data Visualization Get Started
7 skills for improved data visualizations
Great data visualizations require a combination of analytics, design and communication. Master seven key skills for data visualizations to effectively communicate data insights.
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Data governance Get Started
Noninvasive data governance offers friendly approach
Data governance doesn't need to be a burden on employees. A noninvasive approach formalizes existing responsibilities as components of a governance program.
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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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The future of business intelligence: 10 top trends in 2024
Various trends are affecting the current state of BI initiatives and their future direction. Here are 10 key ones that corporate leaders and BI teams should be aware of.
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AI in business intelligence: Uses, benefits and challenges
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10 top benefits of business intelligence for companies
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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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Generative AI can improve -- not replace -- predictive analytics
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Business intelligence reporting: What it is, how it works
BI reporting presents data in various formats so employees can interpret and act on that information in a timely manner without relying on a data analyst. But challenges exist.
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7 examples of augmented analytics in the enterprise
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Use LLMs for data analysis to improve business operations
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Business Analytics/Business Intelligence Basics
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How to implement a business intelligence project in 7 steps
The BI implementation process involves a series of steps that organizations need to take to ensure projects are completed successfully and meet business goals.
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Get Started
Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications and using them in complementary ways enables a comprehensive data analysis strategy.
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How to build an effective business intelligence strategy
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Business intelligence technology
With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications.
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Business intelligence technology
ThoughtSpot AI agent Spotter enables conversational BI
The analytics vendor's new tool not only enables users to converse with data using natural language, but also has contextual awareness and autonomously makes suggestions.
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Business intelligence technology
SAS acquires synthetic data generator to aid AI development
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