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Sigma Computing launches Data Apps to boost analytics
The vendor's new application development feature enables users to create custom apps that combine data collection, insight generation and process automation to improve analysis.
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The pros and cons of self-service analytics
Self-service analytics lowers skill barriers for data use but does require training and financial investment. Evaluate the pros and cons before deciding if it's the right fit.
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Solving specific problems driving enterprise adoption of AI
When weighing the benefits and risks of deploying AI at scale, whether the tools solve specific problems can accelerate deployment, Sisense CEO Ariel Katz says.
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7 data storytelling examples: How to turn data into stories
Various techniques can be used to tell data stories. Here are seven examples of data storytelling approaches implemented by practitioners to create effective stories.
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Data preparation in machine learning: 4 key steps
Data preparation for ML is key to accurate model results. Clean and structure raw data to boost accuracy, improve efficiency, and reduce overfitting for more reliable predictions.
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BI Technology News
Sigma Computing launches Data Apps to boost analytics
The vendor's new application development feature enables users to create custom apps that combine data collection, insight generation and process automation to improve analysis.
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BI Management Evaluate
7 data storytelling examples: How to turn data into stories
Various techniques can be used to tell data stories. Here are seven examples of data storytelling approaches implemented by practitioners to create effective stories.
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Alation unveils AI agents plus SDK for agentic development
The data catalog vendor's new agents for documentation and data quality monitoring represent innovation among metadata management vendors and could force competitors to respond.
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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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AI data governance is a requirement, not a luxury
Data governance is the backbone of any data initiative. Properly managing the new data risks and regulations of AI technologies requires the addition of AI data governance.
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The pros and cons of self-service analytics
Self-service analytics lowers skill barriers for data use but does require training and financial investment. Evaluate the pros and cons before deciding if it's the right fit.
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7 data storytelling examples: How to turn data into stories
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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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Data preparation in machine learning: 4 key steps
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How LLMs can improve data analysis
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Business Analytics/Business Intelligence Basics
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What is unstructured data?
Unstructured data is information, in many different forms, that doesn't follow conventional data models, making it difficult to store and manage in a mainstream relational database.
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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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What is social media analytics?
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Business intelligence technology
Sigma Computing launches Data Apps to boost analytics
The vendor's new application development feature enables users to create custom apps that combine data collection, insight generation and process automation to improve analysis.
-
Business intelligence technology
Solving specific problems driving enterprise adoption of AI
When weighing the benefits and risks of deploying AI at scale, whether the tools solve specific problems can accelerate deployment, Sisense CEO Ariel Katz says.
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Business intelligence technology
Super Bowl teams show analytics gaining ground in NFL
As data-driven decision-making gains ground in pro football, both the Eagles and Chiefs have gained advantages from using advanced statistical analysis.
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