Big Data Analytics Platform DevelopmentIndustry Digital Solution

A one-stop big data platform from data collection, cleansing, and modeling to analysis and application: building data warehouses, defining metric systems, and producing analytical models, turning dormant data assets into decision-making capability.

1 set

Unified enterprise-wide data definitions

10x

Faster data retrieval and analysis

AI-ready

Data foundation prepared for large model applications

Solution Overview

Functional modules 6 core modules

Use cases 4 typical scenarios

Key metrics 3 quantified outcomes

CHALLENGES · Industry Pain Points

Do These Scenarios Sound Familiar?

Data keeps piling up, but no one can clearly say what it can be used for

Metric definitions conflict across departments, and the numbers in meetings never line up

Want to build user profiles and precision marketing, but there is no data foundation

AI applications want to land, but data quality cannot support the models

1 setUnified enterprise-wide data definitions

10xFaster data retrieval and analysis

AI-readyData foundation prepared for large model applications

MODULES · Functional Modules

Core Modules of Big Data Analytics Platform Construction

01Data IntegrationUnified collection and warehousing of business databases, logs, IoT, and third-party data

02Data WarehouseLayered modeling ODS/DWD/DWS/ADS with unified definitions

03Metric SystemEnterprise-level metric dictionary, defined once and reused everywhere

04User ProfilesTag system, audience selection, and precision marketing integration

05Analytics ModelsAlgorithm models such as sales forecasting, churn warning, and association analysis

06Data Service APIData assets opened to business systems in the form of APIs

SCENARIOS · Typical Application Scenarios

This Solution Is Running in These Scenarios

Retail member data assetizationManufacturing production data analysisFinancial risk control data platformGroup data middle platform construction

Suitable For

SUITABLE FOR Industries and business scenarios These organizations can adopt this proven solution first

Medium and large enterprisesData-intensive industriesCompanies preparing for IPO that need data governance