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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 IntelligenceData PlatformDecision Systems
0 likes · 5 min read
Why Palantir’s Ontology Beats Traditional Data Middle Platforms in Decision Making
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.

Business IntelligenceDigital PartnerEnterprise
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.

Business IntelligenceData ArchitectureDigital 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
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 Qualitydata-warehouse
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.

Business IntelligenceChatbotData Platform
0 likes · 17 min read
How Ping An Life Built ChatBI: An AI‑Powered Intelligent BI Platform
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 IntelligenceLLM
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.

Business IntelligenceCopilotai
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.

Business IntelligenceChatbotData Analytics
0 likes · 21 min read
ChatBI: NetEase’s AI‑Powered Business Intelligence Platform – Architecture, Capabilities, and Real‑World Applications
DataFunSummit
DataFunSummit
Feb 12, 2025 · Artificial Intelligence

Didi's ChatBI: Evolution, Exploration, and Future of AI‑Powered Business Intelligence

This article details Didi's journey since early 2023 in building ChatBI, covering the evolution of BI platforms, the technical advances behind intelligent BI such as LLM‑driven NL2SQL, two main product paths, practical implementations, key challenges, and future directions for AI‑enhanced data analysis.

Business IntelligenceChatBIData Analytics
0 likes · 12 min read
Didi's ChatBI: Evolution, Exploration, and Future of AI‑Powered Business Intelligence
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.

Business IntelligenceData PlatformIntelligent 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.

Business IntelligenceChatBIData Analytics
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 BedrockAgentic AIBusiness Intelligence
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 IntelligenceEnterprise Analytics
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 IntelligenceIndicator System
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.

Agent ArchitectureBusiness IntelligenceData Analytics
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.

Business IntelligenceData AnalyticsProduct Architecture
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.

AnalyticsBusiness Intelligencedata analysis
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.

Business Intelligenceaidatabase 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 IntelligenceOSM modelUJM model
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 platformsBusiness IntelligenceLLM applications
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 GrowthBusiness IntelligenceCustomer 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.

AnalyticsBIBusiness 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.

Business IntelligenceChatBIData Platform
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.

Business IntelligenceChatBIData Platform
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 IntelligenceCareer DevelopmentMethodology
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 GovernanceMECE
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 Intelligenceanalytics workflowdata analysis
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.

AnalyticsBusiness IntelligenceData Product
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 visualization
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 IntelligencePythonpandas
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 IntelligenceMetricsdata analysis
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 Product Management
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 AnalyticsData Architecture
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 Intelligenceanalysis frameworkanalytics methods
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 IntelligenceData LifecycleIndicator System
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.

Business IntelligenceData visualizationSmart BI
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 Platform
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 IntelligenceData ProductManagement Efficiency
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.

Business Intelligenceaiaugmented analytics
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 IntelligenceData Governancecloud computing
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 IntelligencePredictive Modeling
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 IntelligenceData Science
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.

Business IntelligenceKPI monitoringattribution
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 IntelligenceCloud ServicesVideo Streaming
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 IntelligenceData ArchitectureTag 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
Python Crawling & Data Mining
Python Crawling & Data Mining
Aug 1, 2021 · Artificial Intelligence

How to Unlock Restaurant Success with Data Mining: A Step‑by‑Step Guide

This article explains the complete data‑mining workflow for the restaurant industry—from defining business goals and sampling relevant data to exploring, preprocessing, modeling, evaluating results, and selecting suitable tools—enabling intelligent dish recommendation, customer segmentation, sales forecasting, and optimal store placement.

Business Intelligencedata miningrestaurant industry
0 likes · 13 min read
How to Unlock Restaurant Success with Data Mining: A Step‑by‑Step Guide
Intelligent Backend & Architecture
Intelligent Backend & Architecture
May 19, 2021 · Big Data

8 Real-World Big Data Analytics Scenarios and Essential Machine Learning Algorithms

This article outlines eight practical big‑data analytics use cases—from product recommendation and pricing to churn prediction—and introduces fundamental machine‑learning algorithms such as linear regression, decision trees, SVM, and random forests that power these applications.

Business IntelligenceData AnalyticsPredictive Modeling
0 likes · 17 min read
8 Real-World Big Data Analytics Scenarios and Essential Machine Learning Algorithms
DataFunTalk
DataFunTalk
Dec 12, 2020 · Big Data

NetEase Yanxuan Tag and Profile Platform Construction Practice

This article presents NetEase Yanxuan's comprehensive approach to building a tag and profile middle‑platform, detailing the concepts of tags and profiles, their business value, the platform's architecture and functional modules, and the methodologies for constructing tag systems and applying profiles to drive data‑driven operations.

Business IntelligenceData AssetData Platform
0 likes · 16 min read
NetEase Yanxuan Tag and Profile Platform Construction Practice
Xueersi Online School Tech Team
Xueersi Online School Tech Team
Jul 31, 2020 · Big Data

Designing and Implementing a Comprehensive Data Metric System and Data Warehouse for Online Education

This article explains how to build a systematic data metric framework—including indicator definitions, dimension management, data dictionary, and data warehouse architecture—to turn massive online‑school data into actionable business insights and support efficient decision‑making and BI visualization.

Business IntelligenceIndicator DesignOLAP
0 likes · 23 min read
Designing and Implementing a Comprehensive Data Metric System and Data Warehouse for Online Education
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 29, 2020 · Fundamentals

What Is Data Analysis? Definitions, Skills, History, and Practical Steps

This comprehensive guide explains what data analysis is, the types of data, its historical evolution, the relationship between data analysis, data science and business intelligence, essential skills, why analysis matters, and a step‑by‑step framework with models and metric design for effective decision‑making.

AnalyticsBusiness IntelligenceMetrics
0 likes · 25 min read
What Is Data Analysis? Definitions, Skills, History, and Practical Steps
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jun 17, 2020 · Fundamentals

Turning User Tags into Actionable Business Insights: A VIP Fruit‑Plate Service Case Study

This article explains how to avoid idle user tags by integrating them into business processes, using a VIP fruit‑plate service example to illustrate tag basics, two promotion strategies, key performance metrics, and deeper implementation steps that turn profiling data into concrete operational value.

Business IntelligenceVIP servicedata analysis
0 likes · 8 min read
Turning User Tags into Actionable Business Insights: A VIP Fruit‑Plate Service Case Study
DataFunTalk
DataFunTalk
Jun 8, 2020 · Artificial Intelligence

Augmented Analytics: Concepts, Key Technologies, and Practical Applications

This article explains the concept of augmented analytics, compares it with traditional BI, outlines its impact on data preparation, analysis, and machine learning, and reviews the underlying technologies such as NLQ, NLG, AutoML, and data robots, supported by Gartner insights and industry examples.

AutoMLBusiness Intelligenceaugmented analytics
0 likes · 25 min read
Augmented Analytics: Concepts, Key Technologies, and Practical Applications
Youzan Coder
Youzan Coder
Mar 13, 2020 · Big Data

Metric Library: Indicator Management System Practice at YouZan

YouZan’s Metric Library is a unified indicator management system that resolves inconsistent metric definitions, duplicate development, and unclear lineage by standardizing dimensions, atomic metrics, modifiers, and automatically generating derived metrics, then supporting scheduling, batch operations, and online APIs through integration with its data warehouse and service platforms.

Business IntelligenceData Middle PlatformDerived Metrics
0 likes · 13 min read
Metric Library: Indicator Management System Practice at YouZan
Big Data Technology & Architecture
Big Data Technology & Architecture
Mar 8, 2020 · Big Data

Understanding Data, Metrics, and Indicator Systems: From Basic Concepts to Pirate Metrics and First‑Key‑Metric Method

The article explains the nature of raw data, defines metrics as data combined with business scenarios, introduces five‑question criteria for good indicators, and compares two popular metric‑system frameworks—the Pirate Metrics (AARRR) model and the First‑Key‑Metric method, illustrating their application in business decision‑making.

@DataBusiness IntelligenceIndicator System
0 likes · 8 min read
Understanding Data, Metrics, and Indicator Systems: From Basic Concepts to Pirate Metrics and First‑Key‑Metric Method
Big Data and Microservices
Big Data and Microservices
Sep 3, 2018 · Big Data

From Raw Data to Business Impact: A Complete Data Analyst Skill Guide

The article outlines a comprehensive data‑analyst competency framework, covering data collection, storage, extraction, mining, analysis, visualization, and practical application, and provides concrete questions, techniques, and tool recommendations to help analysts turn raw data into actionable business insights.

Business IntelligenceData visualizationdata analysis
0 likes · 9 min read
From Raw Data to Business Impact: A Complete Data Analyst Skill Guide
AntTech
AntTech
Mar 22, 2018 · Operations

ConnectedInsight: From Data to Business Insight – A Case Study of Data‑Driven Operations

This article examines the gap between raw data analysis and actionable insight, describes the ConnectedInsight project that turns scattered reporting into a unified data‑product covering business description, diagnosis, forecasting and decision support, and demonstrates how productizing analytics drives efficient, data‑driven operations.

Business IntelligenceData Productdata insight
0 likes · 13 min read
ConnectedInsight: From Data to Business Insight – A Case Study of Data‑Driven Operations
Architects' Tech Alliance
Architects' Tech Alliance
Jul 7, 2017 · Artificial Intelligence

Understanding Business Intelligence (BI) and Artificial Intelligence (AI): Definitions, Differences, and Real‑World Applications

The article explains Gartner’s definitions of Business Intelligence and Artificial Intelligence, compares their core capabilities, discusses whether AI is over‑hyped, and illustrates how AI‑driven solutions differ from traditional BI across marketing, public safety, finance, and education sectors.

BIBusiness IntelligenceData Analytics
0 likes · 12 min read
Understanding Business Intelligence (BI) and Artificial Intelligence (AI): Definitions, Differences, and Real‑World Applications
Meitu Technology
Meitu Technology
Apr 6, 2017 · Artificial Intelligence

Meitu Internet Technology Salon: AI and Machine Learning Applications in Practice

The fourth Meitu Internet Technology Salon showcased practical AI and machine learning uses, highlighting Meipai’s text‑anti‑spam, hot‑topic detection, sentiment analysis and personalized video search, while Baidu demonstrated ML‑driven business intelligence tools for multi‑source data mining, user profiling, and intelligent enterprise and HR management.

Artificial IntelligenceBusiness IntelligenceSentiment Analysis
0 likes · 7 min read
Meitu Internet Technology Salon: AI and Machine Learning Applications in Practice
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 8, 2017 · Artificial Intelligence

How AI Is Turning Every Company Into a Smart Enterprise

The article explains how rapid advances in cloud computing, big data, IoT and artificial intelligence are reshaping business, turning traditional enterprises into data‑driven, intelligent organizations that rely on automated decision‑making and real‑time customer interaction.

Artificial IntelligenceBusiness IntelligenceData-driven
0 likes · 9 min read
How AI Is Turning Every Company Into a Smart Enterprise
Efficient Ops
Efficient Ops
Apr 14, 2016 · Big Data

Why Big Data May Not Be the Gold Mine You Expect: Insights and Pitfalls

The article examines what big data really means, its core 4 V characteristics, current limitations in China, the overhyped value of data, the importance of business‑driven applications, and why starting from small, relevant data is essential for true predictive power.

Big DataBusiness IntelligenceData Value
0 likes · 13 min read
Why Big Data May Not Be the Gold Mine You Expect: Insights and Pitfalls
dbaplus Community
dbaplus Community
Apr 3, 2016 · Big Data

How Asana Scaled Its Data Infrastructure: From MySQL to Redshift & Beyond

Facing rapid growth, Asana overhauled its data infrastructure—from a single‑machine MySQL setup to a Redshift‑backed warehouse, Hadoop‑based log processing, Luigi orchestration, and self‑service BI tools—highlighting the challenges, solutions, and future plans for scalable, reliable analytics.

Big DataBusiness IntelligenceETL
0 likes · 16 min read
How Asana Scaled Its Data Infrastructure: From MySQL to Redshift & Beyond