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Using simulation forecasting in business analytics
Simulation forecasting allows organizations to explore future scenarios, strengthen planning efforts and improve outcomes through advanced modeling techniques.
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What makes an effective data science team structure?
Data science team structures vary in strength, and their success depends on how roles and leadership align with business goals to meet analytics needs.
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Synthetic data vs. real data for predictive analytics
Synthetic data helps simulate rare events and meet privacy compliance, while real data preserves natural variability needed to evaluate models against unpredictable conditions.
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7 predictive analytics skills to improve simulation modeling
Predictive analytics skills such as statistical analysis, data preprocessing and model evaluation can help data professionals build more accurate, dynamic simulation models.
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Using simulation forecasting in business analytics
Simulation forecasting allows organizations to explore future scenarios, strengthen planning efforts and improve outcomes through advanced modeling techniques.
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BI Technology News
AI in sports: A look back at the analytics pioneers
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More reasoning, interoperability key to future of agentic AI
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Data integration Get Started
ESG data collection: Guide and best practices
Sustainability initiatives won't succeed without quality data. Following an ESG data collection framework and best practices ensures program and reporting success.
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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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How AI-powered governance enables scalable AI deployment
AI-powered governance tools help organizations move AI from trials to production by automating compliance, mitigating risks and safeguarding brand reputation.
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What makes an effective data science team structure?
Data science team structures vary in strength, and their success depends on how roles and leadership align with business goals to meet analytics needs.
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Synthetic data vs. real data for predictive analytics
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Data science applications across industries in 2025
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7 top cloud-based analytics tools for enterprise use
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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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Using simulation forecasting in business analytics
Simulation forecasting allows organizations to explore future scenarios, strengthen planning efforts and improve outcomes through advanced modeling techniques.
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7 predictive analytics skills to improve simulation modeling
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The importance of data products
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What is a fully integrated cloud-based data analytics platform?
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Business Analytics/Business Intelligence Basics
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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.
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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.
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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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Business intelligence technology
Knime updates framework for agentic AI development
The open source analytics vendor is keeping up with competitors by providing features aimed at enabling users to create cutting-edge applications capable of autonomous action.
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Data science and analytics
Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications.
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Business intelligence technology
ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry.
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