This document discusses data analysis and customer experience (CX) management. It provides information on Bud.Yu's CX Management consulting firm, including their focus on data analysis, automation, and using customer data. The document also summarizes key impacts of data-driven decision making such as supply chain analytics and AI-based fashion design. Additional sections cover CX metrics, sources of customer data, benefits of data analytics, and recommendations to increase data sources and automation and provide CX consultancy.

1. Bud.Yu
252 DataPlatform
CX Management
Data analysis
Data automation
use customer data

2. Key impacts
• Supply chain analytics
• Data-Driven decision
• AI-based fashion design
• Social Media analysis
• CX management
2022
• Net profit 21%
• eCommerce 36% ( 1B)
• 230M online user
• 885M web site visit
since 1984 | 118 country | 2566 branch
source: https://www.mangofashiongroup.com/

4. source: https://datajourney.akvo.org/blog/the-four-types-of-data-analysis

5. Deployment
Data Evaluation
Data Modeling
Business
Understanding
Data Exploration
Data Preparation
Data
analytic
process

6. Increase the efficiency
Personalization of
Business
Innovative Products
Customer Behavioral
BENEFITS
of DATA
ANALYTIC
Support Decision

7. CX analytics category
Customer
data
integration
Customer
journey
visualization
Journey
based
metrics &
KPIs
AI &
ML
Behavioral
segmentation
Personalized
customer
engagement

8. CX metrics • Customer Satisfaction Score (CSAT)
• Customer Effort Score (CES)
• Net Promoter Score (NPS)
• Customer churn and retention
• First Response Time (FRT)
• Average Resolution Time (ART)
• Customer Lifetime Value (LTV)

9. Social
media
Social
media
5%
70%
Feedback
Websites
40% Call Center 10%
Social
media
5%
Data usage percent Unused percent
Data usage in Mongolia
Contact
details

10. CUSTOMER DATA
INTEGRATION
Sales
Order &
Billing Contract
details
Documents
Data source of
CX Management

11. Purchase
history
News
monitoring
Social media
channel
service &
support
Payments
CUSTOMER
360 VIEW
Feedback
Email
Survey

13. Data analysis: Size &
Time

14. Increase data source
Data automation
Collect all time data
CX analytics
Customer Data Platform
Data integration
Recommend
CX consaltancy

15. Thank you !