Tagged articles

Business Intelligence

117 articles · Page 2 of 2

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

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

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

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 Intelligencedata dictionaryindicator design

0 likes · 23 min read

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

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.

Business IntelligenceData Analysisanalytics

0 likes · 25 min read

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

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 IntelligenceData AnalysisVIP service

0 likes · 8 min read

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

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 IntelligenceData Preparation

0 likes · 25 min read

Augmented Analytics: Concepts, Key Technologies, and Practical Applications

Full-Stack Internet Architecture

Apr 2, 2020 · Fundamentals

Improving the Usefulness of Data Analysis Reports: Finding Standards for Static Data

This article explains why many static data reports are ineffective, identifies the lack of judgment standards as the core issue, and offers three practical ways—problem‑based, goal‑based, and business‑based—to establish meaningful standards that make data analysis reports valuable.

Business IntelligenceData AnalysisRFM

0 likes · 7 min read

Improving the Usefulness of Data Analysis Reports: Finding Standards for Static Data

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 IntelligenceDerived MetricsIndicator System

0 likes · 13 min read

Metric Library: Indicator Management System Practice at YouZan

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.

Business IntelligenceIndicator SystemKPIs

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

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 AnalysisData Pipeline

0 likes · 9 min read

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

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 ProductOperational Analytics

0 likes · 13 min read

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

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

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

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 IntelligenceSmart Enterprises

0 likes · 9 min read

How AI Is Turning Every Company Into a Smart Enterprise

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 Analysis

0 likes · 13 min read

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

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 IntelligenceData Infrastructure

0 likes · 16 min read

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