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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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How to build an effective business intelligence strategy
Explore the eight steps organizations need to develop and implement a successful business intelligence strategy, as well as some of the challenges staff can encounter.
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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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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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How to measure data literacy in the AI era
Improving data literacy as an individual or organization starts with measuring where you are. An AI and data framework provides six criteria to track progress.
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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 and using them in complementary ways enables a comprehensive data analysis strategy.
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BI Management Get Started
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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Data integration News
Snowflake unveils AI development, security capabilities
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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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Learn how to leverage technologies such as hybrid cloud, AI, hyperconvergence, all-flash storage and more—all of which are vital to IT and business transformation success in 2021 and beyond.
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Evaluate
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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How to measure data literacy in the AI era
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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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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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Top BI challenges and tips on how to overcome them
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Manage
Use LLMs for data analysis to improve business operations
Data professionals can use LLMs for data and predictive analytics work. Still, the analysis of large amounts of textual and visual data requires human oversight to succeed.
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9 types of bias in data analysis and how to avoid them
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How generative AI can make data visualizations accessible
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6 key features of embedded analytics software
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Business Analytics/Business Intelligence Basics
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Get Started
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.
-
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.
-
Get Started
How to build an effective business intelligence strategy
Explore the eight steps organizations need to develop and implement a successful business intelligence strategy, as well as some of the challenges staff can encounter.
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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
The longtime analytics vendor plans to fold the intellectual property of Hazy into its existing synthetic data generation capabilities to help customers safely build AI tools.
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Business intelligence technology
Google's Looker taking an agentic approach to generative AI
The analytics vendor aims to help customers develop agents, built on a foundation of trusted data, that enable deep analysis and relieve users of time-consuming tasks.
Search Business Analytics Definitions
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