Data Hub Framework Enterprise Data Foundation

CI&T Data Hub Framework
Enterprise Data Foundation

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CI&T Data Hub Framework

Based on a fundamental, standardized, flexible and scalable architecture principle, CI&T built an enterprise-oriented Data Framework based on years of experience with global data platforms of world-class firms. We aim to let our clients develop their own matured data platform with limited investment based on their business needs. To break down data silos by integrating with different upstream and downstream business applications, achieve data-driven transformations.

Ingestion

Support real-time or batch crawling/extraction and cleaning and conversion of structured data, unstructured data, and Internet web page data

Governance

A well-regulated set of activities(planning, monitoring and execution)for exercising authority and control over data asset management

Compliance

Sensitive data identification, classification, encryption, desensitization and security audit capabilities, so as to complete the full life cycle protection of private data

Data Service

Flexible data query services, data analysis, standard API and file export for downstream business applications

Data Lifecycle

01 Planning & Modeling

- Data profiling
- Define data types and rules

02 Ingestion

- Choose data ingestion method
- Collect data and clean raw data

03 Processing

- Develop data processing algorithms
- Define data layers based on business scenarios
- Process and land the data into different layers according to defined model and scenarios

04 Serving

- Land the processing result into data warehouse
- Define and develop data serving standards
- Integrate with downstream business applications

05 Regression

- Data statistics to detect actual business effects
- Parallel operation of multiple algorithms for effect comparison (A/B test)
- Adjust the data structure and algorithm model according to the effect

Business Architecture

Follow the digital upgrade path of data collection, processing and analysis, enable enhanced insight, decision making for business, and create a closed loop of enterprise digital operation.

Business Apps

Data Platform

Business
Apps

eCommerce
CRM
Websites
Social Media
Media Assets
Third Party Data
IoT
POS

Data
Store

User Profile
Activity
Transaction
Procurement
Products Data
Media Files
Master Data
Marketing Campaign

Data
Computing

Data Cleansing
Deduplication
Unification
User Segmentation
Predict Analysis
Activity Analysis
KPI Gen
Privacy

Data Serving Products

BI Reporting
Dashboard
Predictive Analytics
Decision Engine
Recommendation Engine
Tag Library
Marketing Intelligence

What we do

Data Journey:
From Raw Data to Business Impact

We extract value from data to business impact and a data-driven culture driven by engineering, science, technology, business and PEOPLE.

We drive our clients into the data journey, increasing their confidence and preparedness to make - data driven - decisions.

Proven Framework

CO-DESIGN STRATEGY

01 DEFINING & VALIDATING

HYPOTHESIS

·Research&Understand the context;
·Identify, define&Structure hypotheses;
·Minimises uncertainty;
·Feasible plan.

DELIVER QUARTERLY IMPACT

02

CREATING NEW

BUSINESS OPPORTUNITIES

·Data-driven decision;
·Extract relevant insights;
·Prioritize aiming business impact.

SCALE & DIGITALLY TRANSFORM

03 MEASURING & CAPTURE

IMPACT

·Measurement as part of the journey and gain of traction;
·Data as a strategic/alignment resource;
·A resource to choose the moment to pivot.

Business Scenario

CONSUMER / USER PERSONA

Users can identify the salient features of consumers, conduct distributed observation of various portrait tags, customize the consumer operation model according to business needs for analysis.

AI/ML RECOMMENDATION

Let machine learning analyzes your data and identify patterns to predict what customers like. such as sending the right messages at the right time to the right customers, predicting what customers are likely to buy in the future, personalized content displayed on your digital channels.

BUSINESS INSIGHTS

To aid business users and top management in decision making and core business tracking, such as tracking sales metrics in the retail industry, KPI completion status. According to the business model, it is usually dismantled into various business divisions and regions.