1. Empowering Business Transformation with Mobile BI & Analytics
Bruce Yen Sr. Director of Business Intelligence & Mobile

2. The GUESS? Girl 2

3. GUESS?: Strong Brand Portfolio
Young Women & Men
20 – 35
Women
25 – over 40
16 – 23
Demographics
Sexy, young & fashion-forward
Upscale, sophisticated & contemporary fashion
Affordable, young & Trend-right
Brand Statement
Apparel, Accessories & Footwear
Lifestyle Assortment
“A” & “B” Malls
“A” Malls
Secondary Retail & Key Outlet Malls
Retail Strategy
GUESS
Marciano
G by GUESS 3

4. Global Retail Presence
EUROPE &
MIDDLE EAST
ASIA
594
478
AMERICAS
551
1,623 Stores in 92 Countries
August 1, 2015 4

5. Retail Trends: Growth of E-Commerce
Source: 5

6. Retail Trends: Omni-Channel Retailing
Online
Store
Social
Mobile
Mail
In-store Kiosks 6

7. Retail Trends: Omni-Channel Retailing
Stores
Online
Mail
Social
In-Store Kiosks
Mobile 7

8. The Customer is the Queen (or King)
Use Multiple Channels to Conduct Single Purchase Simultaneously
Customer Service & Shopping Experience Are Differentiators
Technology and Data are Enablers
360°view of real-time inventory
Order online, pick-up or fulfill in any store
Buy in-store, fulfill online/direct
Buy via mobile device
Drive customer engagement & experience 8 8

9. Building an Omni-Channel Foundation
Operations
Real-time view of inventory
Shared inventory across channels
In-Store placement of online orders
Fulfillment from multiple channels (stores & warehouse)
Online
In-Store 9

10. Building an Omni-Channel Foundation
Business Culture
Strategic Omni-Channel Vision & Focus
Omni-Channel Compensation
Omni-Channel Business Performance Review
Store and Merchant Omni-Channel Training 10

11. Building an Omni-Channel Foundation
CRM & Marketing
Leverage Customer Knowledge & Data
360 Degree View of Customer
Shared Product Knowledge
Unified Marketing & Advertising
Consistent Promotions
Single Brand Identity 11

12. Building an Omni-Channel Foundation
Analytics & Insights
Align Big Data Initiatives with Omni-Channel
Identify Unique Customers Across Systems
Link All Customer Centric Data Silos
Enable Quick Analysis of Omni-Channel Data
Optimize Customer Interactions with Analytics
Personalize the Customer Experience 12

13. Data Driven Plan Empower the Business with Data
Fast & Unfettered Access to Data 13

14. Data Warehouse (Columnar MPP Database)
BI & Analytics Stack
Source Systems
Data Warehouse (Columnar MPP Database)
Analysis & Reporting
Retail
Retail & CRM DW
Mfg DW
Online & Mobile App
CRM ODS
Manufacturing ODS
CRM
Manufacturing 14 14

15. Benefits of a MPP Columnar Database
Increase Query Performance (60-400x faster)
Improve Analytical Capabilities and Speed-to-Market
Replace Traditional Cumbersome ETL with ELT
High Business Value and Multiple Use Cases:
Traditional Data Warehouse DB Replacement
Replicated ODS Reporting DB
Advanced Analytics (R-Programming)
Future Proof with Hadoop Integration 15 15

16. Data Driven Plan Empower the Business with Data
Build a Strong Technology Foundation
Fast & Unfettered Access to Data
Foster Decentralized Decision Making
Mobile BI 16

17. Data Warehouse (Columnar MPP Database)
BI & Analytics Stack
Source Systems
Data Warehouse (Columnar MPP Database)
Analysis & Reporting
Retail
Retail & CRM DW
Mfg DW
Online & Mobile App
CRM ODS
Manufacturing ODS
CRM
Manufacturing 17 17

18. Data Warehouse (Columnar MPP Database)
BI & Analytics Stack
Source Systems
Data Warehouse (Columnar MPP Database)
Analysis & Reporting
Mobile Apps
Retail
Retail & CRM DW
Mfg DW
Online & Mobile App
CRM ODS
Manufacturing ODS
CRM
Manufacturing 18 18

19. Store Associate Clienteling
Mobile BI Apps
gMobile Merchant App
Trickle Polling App
Store Associate Clienteling 19

20. Merchant iPad App 20 20

21. Merchant iPad App Use Cases
Executives need a quick way to check daily sales, profitability and sales to plan
Designers need to check how certain fabrics and colors are performing
Merchants need to check sales of product as new styles are rolled out
Area Visual Managers need access to best selling & store performance data 21 21

22. Store Associate Clienteling22

23. Clienteling App Use Cases
Store Managers and Associates better understand customer purchase behavior and needs
Streamline customer engagement processes
Better identify and identify top purchasers and most profitable customers 23 23

24. Data Driven Plan Empower the Business with Data
Build a Strong Technology Foundation
Fast & Unfettered Access to Data
Foster Decentralized Decision Making
Mobile BI
Predictive Analytics
Customer Centric Personalization & Campaign Analytics 24

25. Data Warehouse (Columnar MPP Database)
BI & Analytics Stack
Source Systems
Data Warehouse (Columnar MPP Database)
Analysis & Reporting
Mobile Apps
Retail
Retail & CRM DW
Mfg DW
Online & Mobile App
CRM ODS
Manufacturing ODS
CRM
Manufacturing 25 25

26. BI & Analytics Stack Analytics 26 Source Systems
Data Warehouse (Columnar MPP Database)
Analysis & Reporting
Mobile Apps
Retail
Retail & CRM DW
Mfg DW
Online & Mobile App
CRM ODS
Manufacturing ODS
CRM
Analytics
Predictive Analytics
Predictive Analytics R
Customer-Centric Personalization
Manufacturing 26 26

27. Store Associate Clienteling27

28. Store Associate Clienteling28

29. Personalized Mobile Messages29

30. BI Checklist
Mobile BI & Analytics Are Game Changers for Omni-Channel Retailing
Empower decentralized decision making
Influence direct consumer actions 30

31. Conclusion
The Future of U.S. Retailing: An Agenda for the 21st Century
…get the knowledge of the organization closer to the local decision makers so that they can make the best decisions and at the same time achieve that local commitment and responsibility for the decisions.
Robert A. Peterson, 1991 31 31

32. Sr. Director of Business Intelligence & Mobile GUESS?, Inc.
Contact Info
Bruce Yen
Sr. Director of Business Intelligence & Mobile GUESS?, Inc. 32