BestHub
Sign in
Tagged articles

Business Intelligence

117 articles · Page 1 of 2
Data Integration and Governance
Data Integration and Governance
Aug 6, 2026 · Operations

How to Build a Complete Data Metric System: A Step‑by‑Step Guide

The article explains why many companies only have a metric list, not a true metric system, and outlines a six‑step framework—defining goals, decomposing metrics along business chains, unifying definitions, mapping to data sources, ensuring data quality, and managing the full lifecycle—to turn numbers into actionable business insights.

Business IntelligenceData GovernanceData Metrics
0 likes · 13 min read
How to Build a Complete Data Metric System: A Step‑by‑Step Guide
Smart Sea Tide
Smart Sea Tide
Aug 3, 2026 · Fundamentals

Data Analysis Standards: Organizing and Presenting Insights Effectively

The article outlines practical standards for data analysis reports, covering clear structure, concise conclusions, business‑focused recommendations, reliable data sourcing, effective chart design, and common statistical pitfalls to help analysts communicate insights that drive decision‑making.

Business IntelligenceData Analysisreporting standards
0 likes · 13 min read
Data Analysis Standards: Organizing and Presenting Insights Effectively
Data Integration and Governance
Data Integration and Governance
Jul 27, 2026 · Industry Insights

What Is a Metric Platform? Understanding Metric Management, Definitions, and Systems

Even though many enterprises have abundant data and dashboards, they still waste time reconciling numbers because the same metric often has multiple definitions; a metric platform provides a unified framework for defining, calculating, publishing, using, and governing metrics across the organization.

Business IntelligenceData GovernanceIndicator Management
0 likes · 13 min read
What Is a Metric Platform? Understanding Metric Management, Definitions, and Systems
Data Integration and Governance
Data Integration and Governance
Jul 24, 2026 · Big Data

Data Mining Demystified: Principles, Process, and Methods Explained in One Guide

Enterprises often have abundant data but lack insight; this article explains how data mining moves beyond simple reporting to answer why events occur, predict future outcomes, and recommend actions, covering four analytical levels, core principles, a six‑step workflow, and common techniques with concrete business examples.

Business IntelligenceModelinganalytics
0 likes · 18 min read
Data Mining Demystified: Principles, Process, and Methods Explained in One Guide
Data Integration and Governance
Data Integration and Governance
Jul 2, 2026 · Industry Insights

Why the SQL‑Driven Data Analyst Era Is Coming to an End

The article argues that SQL, once the core moat for data analysts, is losing its protective power as AI can instantly generate queries and BI tools enable self‑service analytics, forcing analysts to shift from pure data extraction to business‑level interpretation and decision‑making.

AIAutomationBusiness Intelligence
0 likes · 11 min read
Why the SQL‑Driven Data Analyst Era Is Coming to an End
DataFunSummit
DataFunSummit
Jun 27, 2026 · Industry Insights

Why Palantir’s Ontology Outperforms Traditional Data Platforms for Decision‑Making

The article examines costly data‑platform failures, contrasts traditional data‑middle‑platforms with Palantir’s ontology‑driven decision system, showcases real‑world ROI examples, and breaks down the three‑layer semantic‑dynamics‑decision architecture that turns data into actionable business outcomes.

Business IntelligenceDecision SystemDigital Twin
0 likes · 4 min read
Why Palantir’s Ontology Outperforms Traditional Data Platforms for Decision‑Making
21CTO
21CTO
Jun 22, 2026 · Artificial Intelligence

Why Claude Handles 95% of Anthropic’s Internal Analysis Queries

Anthropic reports that Claude now processes roughly 95% of its internal analysis requests with about 95% accuracy, attributing this success to rigorous data governance, semantic definitions, and operational standards rather than to larger model capabilities.

AI analyticsAnthropicBusiness Intelligence
0 likes · 5 min read
Why Claude Handles 95% of Anthropic’s Internal Analysis Queries
Data Integration and Governance
Data Integration and Governance
Jun 16, 2026 · Fundamentals

Why Most Companies Fail to Derive Value from Data Analysis: Confusing Data Models with Metric Models

Many enterprises struggle to extract business insights because their underlying data is chaotic, definitions are inconsistent, and metric definitions clash, so even powerful analysis tools cannot deliver value until they clearly separate data models from metric models and follow systematic building steps.

Business IntelligenceData GovernanceData Modeling
0 likes · 18 min read
Why Most Companies Fail to Derive Value from Data Analysis: Confusing Data Models with Metric Models
Smart Sea Tide
Smart Sea Tide
Jun 15, 2026 · Product Management

How to Build an Effective Data Metric System for Data Governance

This article explains what data metrics are, why they matter, and provides a step‑by‑step methodology—including principles, design, implementation, and best‑practice models such as AARRR and MECE—to construct a robust data metric system that aligns with business goals and improves analysis efficiency.

AARRRBusiness IntelligenceData Analysis
0 likes · 21 min read
How to Build an Effective Data Metric System for Data Governance
Data Integration and Governance
Data Integration and Governance
Jun 9, 2026 · Fundamentals

Why Data Tags and Metrics Are the Foundations of Effective Data Governance

The article explains how data tags and metrics—often overlooked in data governance—provide the essential cognition and measurement layers that enable reliable analytics, operational decisions, and AI deployment, and offers step‑by‑step guidance for building robust tag and metric systems.

Business IntelligenceData GovernanceData Integration
0 likes · 17 min read
Why Data Tags and Metrics Are the Foundations of Effective Data Governance
Data Integration and Governance
Data Integration and Governance
Jun 2, 2026 · Fundamentals

Finally, a Clear Explanation of Data Modeling

Data modeling, far beyond simple table design, provides a comprehensive framework that aligns business objects, relationships, metrics, and data flow, enabling accurate data, efficient development, and smooth collaboration; the article explains concepts, types, methods, and step‑by‑step practices, and highlights integration tools like FineDataLink.

Business IntelligenceData GovernanceData Integration
0 likes · 15 min read
Finally, a Clear Explanation of Data Modeling
Digital Planet
Digital Planet
May 25, 2026 · Industry Insights

Are You One of the 90% of Companies Trapped in the Digital “Death Spiral”?

The article reveals why most enterprises stall in the deep‑water stage of digital transformation—not because of lacking technology or budget, but due to four organizational bottlenecks: data integration, process optimization, BI adoption, and custom development, and it proposes a governance‑first approach to break the deadlock.

Business IntelligenceData IntegrationProcess Optimization
0 likes · 9 min read
Are You One of the 90% of Companies Trapped in the Digital “Death Spiral”?
DataFunSummit
DataFunSummit
May 9, 2026 · Industry Insights

Why Palantir’s Ontology Beats Traditional Data Middle Platforms in Decision Making

The article examines costly failures of conventional data middle platforms—such as a $40 million payroll system flop and a chemical firm’s data‑cleaning bottleneck—then shows how Palantir’s ontology‑driven approach delivers triple‑digit ROI for BP, 98% R&D efficiency for Novartis, and $14 million annual savings for General Mills, highlighting the three‑layer semantic, dynamics, and decision architecture that turns data into actionable decisions.

Business IntelligenceDecision SystemsDigital Twin
0 likes · 5 min read
Why Palantir’s Ontology Beats Traditional Data Middle Platforms in Decision Making
Data Integration and Governance
Data Integration and Governance
Apr 13, 2026 · Fundamentals

Data Warehouse Demystified: What It Is, Why You Need It, and How to Build One

The article explains that a data warehouse is an analysis‑oriented data management system that integrates, cleans, and stores enterprise data to provide a single, trustworthy source for reporting and decision‑making, outlines common data problems, and presents a step‑by‑step methodology—including goal definition, source integration, layering, governance, and BI connection—to successfully build and maintain one.

Business IntelligenceData GovernanceData Integration
0 likes · 14 min read
Data Warehouse Demystified: What It Is, Why You Need It, and How to Build One
Data Integration and Governance
Data Integration and Governance
Apr 10, 2026 · Fundamentals

What Are Data Elements and Why They Matter for Business Value

The article explains the concept of data elements—data that is organized, shared, and applied to create continuous business value—by outlining their definition, common challenges such as scattered, messy, and unstable data, and how integration tools like FineDataLink help turn raw data into usable assets.

Business IntelligenceData GovernanceData Integration
0 likes · 9 min read
What Are Data Elements and Why They Matter for Business Value
ByteDance Data Platform
ByteDance Data Platform
Apr 3, 2026 · Industry Insights

From Personal Assistant to Enterprise Digital Partner: How AI Can Run an Entire Store in 12 Hours

The article analyzes Volcano Engine's AI-driven "digital partner" strategy, detailing how functional Skills transform generic assistants into enterprise‑level collaborators that automate end‑to‑end store operations, from data retrieval and analysis to decision‑making and report generation.

AIAutomationBusiness Intelligence
0 likes · 10 min read
From Personal Assistant to Enterprise Digital Partner: How AI Can Run an Entire Store in 12 Hours
DataFunSummit
DataFunSummit
Mar 19, 2026 · Industry Insights

Why Traditional Data Platforms Fail and How Ontology Delivers Triple‑Digit ROI

The article examines why costly traditional data middle platforms often become data swamps, contrasts them with Palantir's ontology‑based approach that acts like a navigation system, and outlines a three‑layer architecture that turns data into automated business actions, delivering multi‑hundred‑percent ROI.

AutomationBusiness IntelligenceDigital Twin
0 likes · 4 min read
Why Traditional Data Platforms Fail and How Ontology Delivers Triple‑Digit ROI
Old Zhao – Management Systems Only
Old Zhao – Management Systems Only
Mar 6, 2026 · Operations

How to Build 5 Practical Supply‑Chain Dashboards in Just 2 Hours

This guide walks you through designing five essential supply‑chain dashboards—order overview, material shortage alerts, production progress, inventory health, and supplier performance—detailing the questions to answer, required data, key metrics, and visual layout recommendations for quick, actionable insights.

Business IntelligenceDashboardData Visualization
0 likes · 11 min read
How to Build 5 Practical Supply‑Chain Dashboards in Just 2 Hours
Data Integration and Governance
Data Integration and Governance
Mar 5, 2026 · Industry Insights

Why Data Metrics Clash and How Four Steps Can Fix Them

Inconsistent metric definitions cause confusion across finance, sales, and product teams, leading to mistrust and delayed decisions; this article outlines seven common mismatches and a four‑step framework—building a metric dictionary, establishing naming and definition standards, systematizing management, and assigning governance—to unify data metrics across an organization.

Business IntelligenceData GovernanceMetric Standardization
0 likes · 10 min read
Why Data Metrics Clash and How Four Steps Can Fix Them
Amazon Cloud Developers
Amazon Cloud Developers
Feb 6, 2026 · Artificial Intelligence

Three Generative BI Solutions That Turn Complex Data Analysis into Simple Conversations

Generative Business Intelligence combines large language models with traditional BI to let users query, analyze, and visualize data through natural language, and Amazon offers three distinct solutions—QuickSight, Redshift, and a Bedrock‑based RetailBI—each tailored to different technical levels and business scenarios.

AWSAmazon QuickSightAmazon Redshift
0 likes · 11 min read
Three Generative BI Solutions That Turn Complex Data Analysis into Simple Conversations
Data Integration and Governance
Data Integration and Governance
Dec 11, 2025 · Industry Insights

Why Does a Years‑Old Data Middle Platform Still Require Manual Data Requests for Channel Analysis?

The article examines why a three‑year‑old data middle platform still forces analysts to chase data across departments for channel analysis, identifies four root causes—from mismatched definitions to insufficient serviceization—and proposes concrete steps to shift governance upstream, build a business‑focused data product layer, embed quality checks, and treat data as an operable product.

Business IntelligenceData GovernanceData Product
0 likes · 9 min read
Why Does a Years‑Old Data Middle Platform Still Require Manual Data Requests for Channel Analysis?
Past Memory Big Data
Past Memory Big Data
Dec 4, 2025 · Artificial Intelligence

Text2SQL Showdown: Which Technical Path Delivers Higher Accuracy and Lower Cost?

The article analyzes two contrasting Text2SQL architectures—LLM + RAG + DSL versus rule‑driven NLQ—examining their accuracy under controlled conditions, implementation costs, complex query support, and real‑world suitability for enterprise BI, and concludes which approach is more reliable and cost‑effective.

AI+RulesBusiness IntelligenceLLM
0 likes · 16 min read
Text2SQL Showdown: Which Technical Path Delivers Higher Accuracy and Lower Cost?
Big Data Technology & Architecture
Big Data Technology & Architecture
Nov 27, 2025 · Artificial Intelligence

Rule‑Based NLQ vs LLMs: How ChatBI’s MQL Engine Delivers Precise BI Queries

The article explains how the rule‑based NLQ component of ChatBI replaces large language models with a detailed dictionary‑driven architecture, using a custom Metrics Query Language (MQL) to transform natural‑language business questions into accurate SQL, highlighting its stability, low cost, transparency, and limitations compared to LLM solutions.

Business IntelligenceData QueryLLM comparison
0 likes · 12 min read
Rule‑Based NLQ vs LLMs: How ChatBI’s MQL Engine Delivers Precise BI Queries
Big Data Tech Team
Big Data Tech Team
Oct 28, 2025 · Big Data

From Data Chaos to Decision Engine: A Step‑by‑Step Guide to Offline Data Warehouse Governance

This article walks you through why unmanaged data warehouses fail, outlines three golden governance principles, details five practical implementation steps—from building a data lineage map to creating business‑driven quality dashboards—and shares real‑world case studies and common pitfalls to help turn your data warehouse into a trusted decision‑making engine.

Business IntelligenceData Warehousedata quality
0 likes · 11 min read
From Data Chaos to Decision Engine: A Step‑by‑Step Guide to Offline Data Warehouse Governance
DataFunSummit
DataFunSummit
Oct 10, 2025 · Artificial Intelligence

How Ping An Life Built ChatBI: An AI‑Powered Intelligent BI Platform

This article details Ping An Life's self‑developed large‑model reporting product ChatBI, covering its background, goals, solution architecture, technical stack, real‑world use cases, deployment challenges, and future outlook, offering practical insights for enterprises adopting AI‑driven business intelligence.

AIBusiness IntelligenceChatbot
0 likes · 17 min read
How Ping An Life Built ChatBI: An AI‑Powered Intelligent BI Platform
Smart Sea Tide
Smart Sea Tide
Sep 29, 2025 · Databases

Data Warehouse Architecture and Construction Methodology

The article explains why scattered, heterogeneous enterprise data requires a unified, subject‑oriented data warehouse, outlines its historical evolution, compares Inmon and Kimball architectures, describes the core components and modeling stages, and details dimensional modeling techniques and best practices.

Business IntelligenceData IntegrationData Warehouse
0 likes · 48 min read
Data Warehouse Architecture and Construction Methodology
DataFunTalk
DataFunTalk
Sep 17, 2025 · Artificial Intelligence

How Generative AI is Transforming Business Intelligence: Trends and Practices

This article, excerpted from Baidu’s Data Platform technical salon, explores how generative AI reshapes Business Intelligence by outlining three perspectives: the technical trend and business value, the design principles of Baidu’s ChatBI platform, and practical challenges and solutions encountered during its deployment.

AI trendsBusiness IntelligenceChatBI
0 likes · 5 min read
How Generative AI is Transforming Business Intelligence: Trends and Practices
dbaplus Community
dbaplus Community
Jun 7, 2025 · Artificial Intelligence

How Large Language Models Are Transforming Data Warehousing: Real-World Experiments and Lessons

The article shares practical experiences using large language models such as Cursor and DeepSeek in data‑warehouse workflows, covering assisted coding, automated metric extraction, self‑service analysis, documentation generation, their benefits, limitations, and the broader impact on data engineering roles.

AI automationBusiness IntelligenceData Warehouse
0 likes · 9 min read
How Large Language Models Are Transforming Data Warehousing: Real-World Experiments and Lessons
AntData
AntData
May 30, 2025 · Artificial Intelligence

DeepInsight Copilot: AI‑Powered Data Analysis Platform Overview and Technical Evolution

The article presents an in‑depth overview of DeepInsight Copilot, an AI‑driven business intelligence product that streamlines data, information, insight, and decision‑recommendation stages, detailing its functional modules, intelligent agents, multi‑generation technical evolution, architecture, model fine‑tuning, and future challenges and solutions in data analysis.

AIBusiness IntelligenceCopilot
0 likes · 21 min read
DeepInsight Copilot: AI‑Powered Data Analysis Platform Overview and Technical Evolution
DataFunSummit
DataFunSummit
Apr 16, 2025 · Artificial Intelligence

ChatBI: NetEase’s AI‑Powered Business Intelligence Platform – Architecture, Capabilities, and Real‑World Applications

This article introduces ChatBI, NetEase’s AI‑driven BI solution, detailing its product architecture, the opportunities and challenges AI brings to data analysis, the underlying NL2SQL model, performance‑optimizing techniques such as materialized views, open integration capabilities, and several enterprise deployment cases.

AIBusiness IntelligenceChatbot
0 likes · 21 min read
ChatBI: NetEase’s AI‑Powered Business Intelligence Platform – Architecture, Capabilities, and Real‑World Applications
Data Thinking Notes
Data Thinking Notes
Feb 6, 2025 · Fundamentals

Mastering Data Metric Systems: Principles, Processes, and Real-World Applications

This article offers a comprehensive, multi‑angle guide to building and applying data indicator systems, covering core principles, step‑by‑step construction flow, data collection, cleaning, validation, and continuous optimization to empower digital transformation and high‑quality business growth.

Business IntelligenceData GovernanceData Metrics
0 likes · 19 min read
Mastering Data Metric Systems: Principles, Processes, and Real-World Applications
DataFunSummit
DataFunSummit
Jan 29, 2025 · Artificial Intelligence

Tencent OlaChat: An LLM‑Powered Intelligent Business Intelligence Platform – Architecture, Capabilities, and Practice

This article presents Tencent's OlaChat intelligent BI platform, detailing its evolution from traditional to intelligent BI, the impact of large language models on data analytics, the system's multi‑task dialogue, metadata retrieval enhancements, Text2SQL solutions, and real‑world deployment insights.

AIBusiness IntelligenceIntelligent Analytics
0 likes · 21 min read
Tencent OlaChat: An LLM‑Powered Intelligent Business Intelligence Platform – Architecture, Capabilities, and Practice
DataFunSummit
DataFunSummit
Jan 26, 2025 · Artificial Intelligence

ChatBI in Automotive Enterprises: Challenges, Architecture, and Implementation

This article examines the rise of ChatBI in automotive companies, outlining current BI challenges, the five “no” and five “difficulties” issues, the motivations for adopting ChatBI, its evolving architecture, and practical implementation steps to achieve data‑driven decision making.

AIAutomotiveBusiness Intelligence
0 likes · 17 min read
ChatBI in Automotive Enterprises: Challenges, Architecture, and Implementation
DataFunSummit
DataFunSummit
Jan 24, 2025 · Artificial Intelligence

Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned

With the rise of LLM‑based generative AI, this article examines the emerging GenBI (Generative Business Intelligence) paradigm, detailing why self‑serving analytics are needed, the progress of Text‑to‑SQL, an LLM‑driven agent architecture, practical AWS Bedrock implementation, technical choices, lessons learned, and future outlook.

AWS BedrockBusiness IntelligenceLLM
0 likes · 18 min read
Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned
DataFunTalk
DataFunTalk
Dec 27, 2024 · Artificial Intelligence

Designing Enterprise Business Analysis Agents with Large Language Models

This article explains how large‑model capabilities combined with metric and tag platforms can be used to build intelligent data‑analysis products for enterprises, covering challenges, solution routes such as NLP2SQL, NLP2API, NLP2Python, agent design, planning, and future outlooks.

AI AgentBusiness IntelligenceData Analysis
0 likes · 21 min read
Designing Enterprise Business Analysis Agents with Large Language Models
Data Thinking Notes
Data Thinking Notes
Dec 3, 2024 · Fundamentals

How to Build a Robust Data Metric System: From Design to BI Application

This article explains how to construct a comprehensive data metric system—including classification of atomic and derived indicators, top‑down and bottom‑up design methods, data‑warehouse layer architecture, and BI analysis types—to ensure consistent, actionable insights across the enterprise.

BI analysisBusiness IntelligenceData Metrics
0 likes · 11 min read
How to Build a Robust Data Metric System: From Design to BI Application
DataFunSummit
DataFunSummit
Nov 18, 2024 · Artificial Intelligence

Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation

This article explores how large‑model technologies can address data analysis challenges by introducing an Agent‑based architecture integrated with a semantic layer, detailing design principles, optimization paths, technical implementation, real‑world retail case studies, product design considerations, and future directions for intelligent analytics.

AIAgent ArchitectureBusiness Intelligence
0 likes · 22 min read
Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation
DataFunSummit
DataFunSummit
Nov 10, 2024 · Artificial Intelligence

Integrating AI into Business Intelligence: Practices, Challenges, and Product Architecture

This article explores how AI technologies are reshaping Business Intelligence by detailing market trends, the vision of intelligent BI, practical implementations such as Text2SQL and AI‑driven visualisation, challenges like accuracy and user experience, and the open‑architecture product design exemplified by Tencent's OlaChat platform.

AIBusiness IntelligenceData Analytics
0 likes · 16 min read
Integrating AI into Business Intelligence: Practices, Challenges, and Product Architecture
DataFunTalk
DataFunTalk
Oct 31, 2024 · Artificial Intelligence

Tencent OlaChat: An LLM‑Powered Intelligent Business Intelligence Platform – Architecture, Capabilities, and Practice

This article presents the evolution from traditional to intelligent BI, explores how large language models enable natural‑language data analysis, details the OlaChat platform’s architecture, metadata‑enhanced retrieval methods, Text2SQL pipeline, multi‑turn dialogue system, and shares practical deployment insights and Q&A.

Business IntelligenceIntelligent AnalyticsLLM
0 likes · 20 min read
Tencent OlaChat: An LLM‑Powered Intelligent Business Intelligence Platform – Architecture, Capabilities, and Practice
Software Development Quality
Software Development Quality
Oct 7, 2024 · Fundamentals

Unlocking Data Thinking: How to Turn Numbers into Actionable Insights

This article explains the concept of data thinking, its core components of data sensitivity and methodological experience, outlines a step‑by‑step data analysis process, and shows why cultivating this mindset improves decision‑making, communication efficiency, and business opportunity discovery across various domains.

Business IntelligenceData Analysisanalytics
0 likes · 16 min read
Unlocking Data Thinking: How to Turn Numbers into Actionable Insights
ByteDance Data Platform
ByteDance Data Platform
Aug 27, 2024 · Artificial Intelligence

AI-Driven BI: Achieving Zero-Barrier Data Access and Smart Insights

This article traces the evolution of business intelligence platforms from early report‑centric tools to modern AI‑enhanced, search‑driven solutions, detailing the architectural layers, high‑performance data analysis design, multi‑level aggregation, hot‑cold data tiering, and large‑model applications that enable zero‑threshold data consumption and intelligent insights.

Artificial IntelligenceBusiness IntelligenceData Analytics
0 likes · 18 min read
AI-Driven BI: Achieving Zero-Barrier Data Access and Smart Insights
DeWu Technology
DeWu Technology
Jul 29, 2024 · Artificial Intelligence

AI-Driven Loss Prevention: A Comprehensive Field-Level Risk Control System

The paper introduces an AI‑driven loss‑prevention platform that augments manual risk analysis with automated field recognition to map database and code models, generate loss‑related methods and interfaces, and deliver pre‑emptive avoidance, real‑time detection, and post‑incident response, achieving over 1,200% growth in identified loss methods and near‑full field coverage.

AIBusiness Intelligencedatabase analysis
0 likes · 8 min read
AI-Driven Loss Prevention: A Comprehensive Field-Level Risk Control System
Data Thinking Notes
Data Thinking Notes
Jun 18, 2024 · Big Data

How to Build a Robust Data Metric System: From Atomic to Derived Indicators

This article explains what a metric (indicator) is, distinguishes atomic, derived and composite indicators, outlines the OSM and UJM modeling methods, describes the steps for constructing a metric system, its integration with data warehouses, and details the design and technical implementation of a metric management platform.

Business IntelligenceData MetricsData Warehouse
0 likes · 13 min read
How to Build a Robust Data Metric System: From Atomic to Derived Indicators
Baidu Tech Salon
Baidu Tech Salon
May 27, 2024 · Artificial Intelligence

Intelligent Agent Technology in Commercial Advertising Platforms: Architecture and Applications

The paper describes Baidu’s AI‑native advertising platform that employs a multi‑agent architecture built on large‑language models—combining large‑small model collaboration, domain SOP‑driven coordination, and long‑term memory—to enable natural‑language understanding, proactive planning, execution and human‑like responses, illustrated by GBI analytics and JarvisBot operations, delivering higher consumption, accuracy, speed and efficiency.

AI-native platformsAIOpsBusiness Intelligence
0 likes · 16 min read
Intelligent Agent Technology in Commercial Advertising Platforms: Architecture and Applications
DataFunTalk
DataFunTalk
May 11, 2024 · Artificial Intelligence

Data Intelligence Driving Business Growth: Overview of CI, BI, and AI

This presentation explains how data intelligence—through Customer Intelligence, Business Intelligence, and Artificial Intelligence—addresses key data challenges, enhances user profiling, automates analytical insights, and enables conversational data consumption to drive efficient, data‑driven business growth.

Business IntelligenceBusiness growthCustomer Intelligence
0 likes · 11 min read
Data Intelligence Driving Business Growth: Overview of CI, BI, and AI
Baidu Geek Talk
Baidu Geek Talk
May 8, 2024 · Artificial Intelligence

Sugar BI: AI‑Driven Next‑Generation Business Intelligence Platform

Sugar BI, evolving from the internal ShowX platform to versions 2.0‑4.0, now offers a zero‑code, drag‑and‑drop visual editor, support for over 30 data sources, AI‑powered automatic analysis and the Sugar Bot Q&A module that transforms multi‑day data tasks into minutes, delivering containerized SaaS BI with intelligent chart recommendation and rapid, code‑free decision‑making for enterprises.

AIBIBusiness Intelligence
0 likes · 19 min read
Sugar BI: AI‑Driven Next‑Generation Business Intelligence Platform
DataFunTalk
DataFunTalk
Apr 13, 2024 · Artificial Intelligence

Integrating Generative AI with Business Intelligence: Design, Implementation, and Lessons from Baidu's ChatBI Platform

The article explores how generative AI transforms business intelligence by detailing BI's evolution, the ChatBI platform's architecture, NL2SQL challenges, performance and accuracy optimizations, and real‑world deployment outcomes that demonstrate reduced user barriers and enhanced analytical efficiency.

AIBusiness IntelligenceChatBI
0 likes · 13 min read
Integrating Generative AI with Business Intelligence: Design, Implementation, and Lessons from Baidu's ChatBI Platform
Baidu Tech Salon
Baidu Tech Salon
Mar 7, 2024 · Artificial Intelligence

How Generative AI is Transforming Business Intelligence: Inside Baidu’s ChatBI

This article examines the evolution of BI through generative AI, outlines the design and implementation of Baidu’s ChatBI platform, and discusses technical challenges such as NL2SQL integration, performance, accuracy, and user experience improvements that enable intelligent, low‑cost data analysis.

AIBusiness IntelligenceChatBI
0 likes · 14 min read
How Generative AI is Transforming Business Intelligence: Inside Baidu’s ChatBI
DataFunSummit
DataFunSummit
Feb 15, 2024 · Artificial Intelligence

Evolution of BI Data Products, Current Challenges, and Generative AI Applications

This article reviews the historical evolution of business intelligence (BI) data products, analyzes the difficulties of fine‑grained data analysis and product design, presents ABI strategies to overcome these issues, and explores how large language models are creating a new era of generative AI‑driven data analytics.

BIBusiness IntelligenceData Products
0 likes · 14 min read
Evolution of BI Data Products, Current Challenges, and Generative AI Applications
Test Development Learning Exchange
Test Development Learning Exchange
Jan 20, 2024 · Big Data

Practical Data Analysis Code Samples for Business Decision Making

This article presents ten practical Python code examples that demonstrate common data analysis techniques—such as handling missing values, sorting, pivot tables, visualization, association rules, outlier detection, time‑series forecasting, clustering, feature selection, and cross‑validation—to help improve business decision effectiveness.

Big DataBusiness IntelligencePython
0 likes · 4 min read
Practical Data Analysis Code Samples for Business Decision Making
Data Thinking Notes
Data Thinking Notes
Dec 19, 2023 · Big Data

Mastering Data Analysis: Methodology, Team Building, and Career Insights

This comprehensive guide shares a seasoned data professional’s methodology, classifications, goal‑setting techniques, team‑building strategies, analyst competencies, report standards, and the three‑pillar "trend‑method‑technique" framework to help newcomers and veterans alike extract business value from data.

Business IntelligenceData Analysiscareer development
0 likes · 39 min read
Mastering Data Analysis: Methodology, Team Building, and Career Insights
DataFunTalk
DataFunTalk
Nov 28, 2023 · Big Data

Xiaomi Metric System Construction and Management Best Practices

This article presents Xiaomi's comprehensive metric system framework, covering its definition, business pain points, the OSM and MECE methodologies, model design principles, data warehouse construction, metric management, and future outlook, illustrating how a unified data platform drives efficient business decision‑making.

Business IntelligenceData GovernanceData Warehouse
0 likes · 10 min read
Xiaomi Metric System Construction and Management Best Practices
Data Thinking Notes
Data Thinking Notes
Nov 5, 2023 · Fundamentals

Why Poor Data Quality Costs Companies $15M Annually and How to Fix It

Low‑quality data can cost enterprises up to $15 million each year, making data quality management essential for accurate decision‑making, compliance, and operational efficiency, and this article explains its importance, evaluation dimensions, common issues, monitoring metrics, responsible roles, and a three‑phase management framework of prevention, control, and remediation.

Big DataBusiness IntelligenceData Governance
0 likes · 32 min read
Why Poor Data Quality Costs Companies $15M Annually and How to Fix It
Data Thinking Notes
Data Thinking Notes
Oct 17, 2023 · Operations

How to Master Operational Data Analysis: From Metrics to Insightful Decisions

This guide explains how to build a comprehensive operational data analysis framework by adopting macro, business, thinking, and personal perspectives, defining dimensions and metrics, applying structured workflows, and avoiding common pitfalls to develop data sensitivity and drive effective decision‑making.

Business IntelligenceData Analysisanalytics workflow
0 likes · 12 min read
How to Master Operational Data Analysis: From Metrics to Insightful Decisions
360 Tech Engineering
360 Tech Engineering
Oct 8, 2023 · Fundamentals

Data Anomaly Analysis: Methods, Process, and Case Studies

This article systematically outlines the thinking, step‑by‑step process, and practical methods for identifying and diagnosing data anomalies, and illustrates the approach with three detailed case studies covering video playback spikes, app retention drops, and community conversion declines.

Business IntelligenceRoot Cause Analysisanomaly detection
0 likes · 16 min read
Data Anomaly Analysis: Methods, Process, and Case Studies
37 Interactive Technology Team
37 Interactive Technology Team
Sep 18, 2023 · Product Management

How to Build, Productize, and Iterate an Analytical Data Product

The guide explains how to create an analytical data product by first defining the business scenario and KPI, selecting and abstracting an analysis framework into reusable modules, visualizing core metrics across dimensions, and continuously iterating through cold‑start, promotion, and maintenance phases to keep the product aligned with evolving business needs.

Business IntelligenceData ProductKPI
0 likes · 18 min read
How to Build, Productize, and Iterate an Analytical Data Product
21CTO
21CTO
Aug 16, 2023 · Big Data

6 Must-Have Snowflake Tools to Supercharge Your Data Workflow

This guide reviews six popular Snowflake‑compatible tools—covering data preparation, visualization, integration/ETL, business intelligence, and governance—that can dramatically boost productivity for data professionals.

Business IntelligenceData GovernanceData Preparation
0 likes · 11 min read
6 Must-Have Snowflake Tools to Supercharge Your Data Workflow
Test Development Learning Exchange
Test Development Learning Exchange
Aug 14, 2023 · Fundamentals

Data Analysis Report Writing and Presentation: Code Examples for Various Business Scenarios

This guide explains how to write and present data analysis reports across various business scenarios, providing step‑by‑step Python code using pandas and matplotlib to visualize sales trends, survey results, patient statistics, investment performance, and user behavior, along with a comprehensive report template.

Business IntelligencePandasPython
0 likes · 9 min read
Data Analysis Report Writing and Presentation: Code Examples for Various Business Scenarios
Architects Research Society
Architects Research Society
Aug 1, 2023 · Operations

What Is Operational Reporting?

Operational reporting focuses on generating detailed, short‑term reports about daily organizational activities, covering production costs, resource usage, process checks, and even accounting data, providing immediate BI insights that support quick decision‑making and allow stakeholders to customize views for clearer operational understanding.

Business Intelligencedecision makingoperational reporting
0 likes · 5 min read
What Is Operational Reporting?
Data Thinking Notes
Data Thinking Notes
Jul 30, 2023 · Fundamentals

Why Data Analysis Is Essential for Product Success: Real-World Payment Case Studies

This article shares practical experience building a payment data analysis system from scratch, explaining why data analysis matters, outlining a five‑stage framework, detailing metric design, and presenting common analytical methods such as funnel, multi‑dimensional, trend, comparison, Pareto, and cross analysis to drive product decisions.

Business IntelligenceData Analysismetrics
0 likes · 26 min read
Why Data Analysis Is Essential for Product Success: Real-World Payment Case Studies
Data Thinking Notes
Data Thinking Notes
Jun 24, 2023 · Fundamentals

Why a Robust Data Metric System Is the Lifeblood of Modern Businesses

This article explains the concepts, construction, and value of data metric systems and tag systems, describing how they help product managers turn raw data into actionable indicators, support decision‑making, guide operations, drive user growth, and ensure a unified statistical standard across the enterprise.

Big DataBusiness IntelligenceData Metrics
0 likes · 16 min read
Why a Robust Data Metric System Is the Lifeblood of Modern Businesses
DataFunSummit
DataFunSummit
Apr 16, 2023 · Fundamentals

Why Metric Management Matters and How to Build an Effective Metric Management System

This article explains the importance of metric management for unified data language, consistent data production, and increased metric usage, and outlines a three‑part system covering business‑process metricization, standardization of naming, scope and lifecycle, and operationalization of metrics.

Business IntelligenceData Governancedata operations
0 likes · 9 min read
Why Metric Management Matters and How to Build an Effective Metric Management System
DataFunTalk
DataFunTalk
Apr 6, 2023 · Product Management

Designing and Implementing a Channel Data Product for Growth

This article explains why channel data products are needed, outlines the stages of growth business, describes how to design and implement a channel data product—including its architecture, database schema, and operational workflow—and concludes with a practical summary and Q&A.

Business IntelligenceData Analyticschannel data
0 likes · 11 min read
Designing and Implementing a Channel Data Product for Growth
DataFunSummit
DataFunSummit
Mar 9, 2023 · Big Data

Building Commercial Data Products: From Infrastructure to Business Enablement

This article shares a comprehensive guide on constructing commercial data products, covering advertising data use, the three-stage data infrastructure build, content modeling, and how data-driven platforms empower business decisions across executives, managers, and analysts.

Business IntelligenceData Productsadvertising analytics
0 likes · 12 min read
Building Commercial Data Products: From Infrastructure to Business Enablement
DataFunTalk
DataFunTalk
Feb 28, 2023 · Big Data

Data Analysis: Steps, Methods, and Thinking Frameworks

This article explains how to conduct data analysis by accurately interpreting numbers and context, objectively assessing problems with standards, selecting appropriate analytical methods, and adopting structured thinking frameworks such as business‑process, department‑function, and strategy‑goal orientations to derive actionable insights.

Business IntelligenceData Analysisanalysis framework
0 likes · 7 min read
Data Analysis: Steps, Methods, and Thinking Frameworks
政采云技术
政采云技术
Feb 14, 2023 · Fundamentals

Understanding Indicator Systems: Definitions, Lifecycle, and Construction Methodology

This article explains the concept of indicator systems, distinguishes result and process metrics, outlines their lifecycle stages, and details a step‑by‑step methodology for designing, naming, modeling, and productizing a comprehensive metric framework to support data‑driven business decisions.

Business IntelligenceIndicator Systemdata lifecycle
0 likes · 13 min read
Understanding Indicator Systems: Definitions, Lifecycle, and Construction Methodology
Baidu Geek Talk
Baidu Geek Talk
Feb 13, 2023 · Artificial Intelligence

Evolution of Business Intelligence and Intelligent BI: Overview of Sugar BI’s DI Predictive Module

From the 19th‑century origins of Business Intelligence through BI 1.0’s data warehouses, BI 2.0’s self‑service dashboards, and today’s emerging BI 2.5 intelligent era, Sugar BI’s DI predictive module offers low‑code, AI‑driven chart recommendations, automatic analysis, voice interaction, and customizable machine‑learning models for non‑technical business users.

Artificial IntelligenceBusiness IntelligenceData Visualization
0 likes · 16 min read
Evolution of Business Intelligence and Intelligent BI: Overview of Sugar BI’s DI Predictive Module
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Feb 3, 2023 · Artificial Intelligence

How AI Is Transforming Business Intelligence: From BI 1.0 to Sugar BI’s Intelligent Prediction

This article traces the evolution of Business Intelligence from its 19th‑century origins through BI 1.0, 2.0 and the emerging intelligent BI era, explains AI‑augmented analytics, compares predictive‑analysis platforms, and showcases Sugar BI’s DI module that enables code‑free forecasting and smart decision‑making.

AIBusiness IntelligenceData Visualization
0 likes · 16 min read
How AI Is Transforming Business Intelligence: From BI 1.0 to Sugar BI’s Intelligent Prediction
DataFunSummit
DataFunSummit
Jan 16, 2023 · Big Data

Building an O2O Industry Data Platform: From Monitoring to Diagnosis

This article shares practical insights on constructing an O2O industry data platform, detailing user classification, business pain points, and a three‑step strategy—monitoring, analysis, and diagnosis—to extract core metrics, implement tailored reporting, conduct operational and pricing analyses, and drive data‑driven product improvements.

AnalysisBusiness IntelligenceData Product
0 likes · 15 min read
Building an O2O Industry Data Platform: From Monitoring to Diagnosis
Baidu Geek Talk
Baidu Geek Talk
Aug 15, 2022 · Artificial Intelligence

GEEK TALK: Practical Applications of Augmented Analysis

The article explains Augmented Analysis—using AI‑driven natural‑language queries, intelligent assistants, and automated business insights—to enable non‑technical users to explore data, gain actionable recommendations, and boost business value, illustrated with real‑world use cases and practical guidance for embedding the technology into everyday workflows.

AI in AnalyticsAugmented AnalysisBusiness Intelligence
0 likes · 9 min read
GEEK TALK: Practical Applications of Augmented Analysis
Baidu Geek Talk
Baidu Geek Talk
Aug 1, 2022 · Artificial Intelligence

Sugar BI: AI-Powered Business Intelligence Platform Architecture and Intelligent Visualization

Sugar BI, Baidu Cloud’s AI‑powered business intelligence platform, lets users create professional, zero‑code dashboards in minutes by connecting to 30+ data sources, leveraging Apache ECharts, intelligent chart recommendation, and natural‑language voice interaction to deliver automated analysis, visualization, and predictive insights.

AI-Powered AnalyticsBig DataBusiness Intelligence
0 likes · 15 min read
Sugar BI: AI-Powered Business Intelligence Platform Architecture and Intelligent Visualization
Kuaishou Tech
Kuaishou Tech
Mar 10, 2022 · Big Data

Data‑Driven Management: From Data Analysis to Data Products – Challenges, Solutions, and a Used‑Car Platform Case Study

This article explores how enterprises can overcome common data‑analysis frustrations, explains why quantitative data is essential for effective management, outlines methods to boost data‑driven management efficiency through analysis and productization, and presents a detailed second‑hand car platform case study illustrating these concepts in practice.

Business IntelligenceCase studyData Analysis
0 likes · 10 min read
Data‑Driven Management: From Data Analysis to Data Products – Challenges, Solutions, and a Used‑Car Platform Case Study
Alimama Tech
Alimama Tech
Feb 23, 2022 · Artificial Intelligence

Augmented Analytics and Alibaba Mama's AutoInsight System: Concepts, Architecture, and Applications

The article explains Gartner’s augmented analytics paradigm—automating data preparation, insight discovery, and sharing via AI/ML—and details Alibaba Mama’s AutoInsight system, whose four‑layer architecture delivers automated anomaly detection, metric contribution analysis, personalized recommendations, and real‑time warnings, illustrated through advertising and mobile placement use cases, highlighting its potential to boost marketing efficiency and insight automation.

AIBusiness IntelligenceData Analysis
0 likes · 14 min read
Augmented Analytics and Alibaba Mama's AutoInsight System: Concepts, Architecture, and Applications
IT Architects Alliance
IT Architects Alliance
Dec 8, 2021 · Industry Insights

6 Proven Strategies to Modernize Your Cloud Data Warehouse

This article outlines six practical strategies—identifying bottlenecks, empowering data engineers, adopting distributed management, creating data contracts, embracing diverse perspectives, and streamlining workflows—to help organizations leverage cloud data warehouses more efficiently and drive better business intelligence outcomes.

Business IntelligenceCloud ComputingData Engineering
0 likes · 8 min read
6 Proven Strategies to Modernize Your Cloud Data Warehouse
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Nov 6, 2021 · Big Data

Why User Profiling Projects Fail: Common Pitfalls and Deep Causes

The article analyzes why user profiling initiatives frequently collapse, highlighting surface mistakes such as confusing past behavior with future predictions, mixing behavior with motivation, and mistaking correlation for causation, while also exposing deeper issues like unrealistic business expectations, over‑reliance on static tags, and insufficient predictive modeling and causal analysis.

Big DataBusiness IntelligenceData Analysis
0 likes · 9 min read
Why User Profiling Projects Fail: Common Pitfalls and Deep Causes
DataFunTalk
DataFunTalk
Nov 4, 2021 · Artificial Intelligence

Diagnostic Analytics: Methods, Case Studies, and Common Pitfalls in Business Data Analysis

This article explains why diagnostic analytics is essential, defines the concept, outlines problem types, presents a logical‑tree and hypothesis‑driven methodology, showcases two real‑world projects (weather‑impact index and an intelligent anomaly‑diagnosis system), and highlights frequent mistakes to avoid.

AI modelingBusiness IntelligenceCase study
0 likes · 15 min read
Diagnostic Analytics: Methods, Case Studies, and Common Pitfalls in Business Data Analysis
DataFunSummit
DataFunSummit
Oct 25, 2021 · Big Data

Building a Multi-Dimensional Analysis System: Practice at Baixin Bank

This talk by Baixin Bank's BI leader outlines the bank's business model, multi-dimensional data analysis requirements, and the design of a laddered analysis solution, including indicator and analysis system construction, user‑product‑enterprise scenario modeling, and productization of data insights for operational decision‑making.

BankingBig DataBusiness Intelligence
0 likes · 20 min read
Building a Multi-Dimensional Analysis System: Practice at Baixin Bank
Xianyu Technology
Xianyu Technology
Sep 7, 2021 · Big Data

Analyzing Business Data Fluctuations and Attribution Methods

The article outlines a systematic framework for detecting abnormal KPI fluctuations in daily dashboards—verifying data accuracy, applying period‑over‑period and 3‑sigma rules, then attributing causes across product, competitor and market scopes using MECE‑based horizontal, vertical funnel, and cross analyses, and quantifying impacts with control‑variable, slot, marginal‑effect, prior‑judgment and difference‑in‑differences methods for rapid analyst response and potential automation.

AttributionBusiness IntelligenceData Analysis
0 likes · 7 min read
Analyzing Business Data Fluctuations and Attribution Methods
Tencent Cloud Developer
Tencent Cloud Developer
Sep 3, 2021 · Big Data

Design and Implementation of a Real-Time Video Live Streaming Analytics System Using Tencent Cloud Big Data Services

The article details a cloud‑native architecture on Tencent Cloud that uses CKafka, Oceanus (Flink), MySQL, HBase and a BI service to ingest live‑streaming logs, aggregate gift‑reward metrics in real time, store results, and display them on a continuously refreshed dashboard.

Business IntelligenceStream Processingcloud services
0 likes · 15 min read
Design and Implementation of a Real-Time Video Live Streaming Analytics System Using Tencent Cloud Big Data Services
IT Architects Alliance
IT Architects Alliance
Sep 1, 2021 · Big Data

Understanding Data Middle Platform Architecture and Its Core Components

The article explains the concept of a data middle platform, describing its architecture, the essential big‑data foundation, metadata management, data service components such as BI and tag systems, and how these layers together enable unified data access, governance, and business intelligence across enterprises.

Business IntelligenceMetadataTag Management
0 likes · 14 min read
Understanding Data Middle Platform Architecture and Its Core Components
Architects Research Society
Architects Research Society
Aug 31, 2021 · Fundamentals

Apache Superset – Overview and Supported Databases

Apache Superset is a modern, enterprise‑ready open‑source business intelligence web application that offers rich data visualizations, an easy‑to‑use interface, dashboard sharing, robust security, a semantic layer, and integration with a wide range of relational and analytical databases.

Apache SupersetBusiness IntelligenceData Visualization
0 likes · 5 min read
Apache Superset – Overview and Supported Databases