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The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture.
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Databricks partners with Anthropic to aid GenAI development
With the Claude line of models natively available in the Data Intelligence Platform, developers can securely combine data and AI models to build agents and other applications.
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Domo unveils agentic AI toolkit to simplify development
Agent Catalyst provides users with a four-step process for developing agentic applications, including selecting an LLM and connecting it to relevant proprietary data.
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DBT Labs launches AI copilot to boost developer efficiency
The assistant includes features such as autogenerated documentation and testing to relieve developers and engineers of repetitive tasks and free them up for more innovative work.
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Data Science & Analytics News
Databricks partners with Anthropic to aid GenAI development
With the Claude line of models natively available in the Data Intelligence Platform, developers can securely combine data and AI models to build agents and other applications.
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BI Technology News
AWS boosts Q in QuickSight with AI-powered scenario analysis
Driven by customer feedback, the BI platform now enables nontechnical and expert users alike to model data and perform deep analytics using generative AI-fueled natural language.
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BI Management Manage
The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture.
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Data integration News
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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Data governance News
Coalesce acquires data catalog upstart to aid transformation
After raising $50 million in venture capital funding in 2024, the startup acquired CastorDoc to add AI-powered data catalog capabilities to its data preparation platform.
Sponsored Sites
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Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
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Artificial Intelligence
A Guide to Unlock the Power of Private AI
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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Artificial Intelligence
HPE & Intel: Harness AI
Learn how HPE & Intel are pioneering advancements in artificial intelligence (AI) and machine learning (ML) technologies. As a global leader in semiconductor innovation, Intel continues to drive the evolution of AI across diverse industries, from healthcare and finance to autonomous vehicles and edge computing. Explore the latest developments and strategies shaping the future of AI-driven technologies.
Find Solutions For Your Project
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Evaluate
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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9 best practices for self-service analytics
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8 top predictive analytics tools for 2025
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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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Top 12 business intelligence challenges to manage
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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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The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture.
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What is a fully integrated cloud-based data analytics platform?
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5 top self-service analytics use cases
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Data preparation in machine learning: 4 key steps
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Business Analytics/Business Intelligence Basics
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Get Started
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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Get Started
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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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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Business intelligence technology
AWS boosts Q in QuickSight with AI-powered scenario analysis
Driven by customer feedback, the BI platform now enables nontechnical and expert users alike to model data and perform deep analytics using generative AI-fueled natural language.
-
Data science and analytics
Databricks partners with Anthropic to aid GenAI development
With the Claude line of models natively available in the Data Intelligence Platform, developers can securely combine data and AI models to build agents and other applications.
-
Business intelligence technology
Domo unveils agentic AI toolkit to simplify development
Agent Catalyst provides users with a four-step process for developing agentic applications, including selecting an LLM and connecting it to relevant proprietary data.
Search Business Analytics Definitions
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