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Leverage Data Services
to Boost Sales
Presented by

Patrick Hanck | Senior Consultant, Enterprise Information Management
About Us
Leading Information Technology Consulting
Services Company
• Headquartered in San Francisco, CA
• Local offices in San Diego, Chicago, Dallas,
Pittsburgh, and Calgary
• Celebrating our 15th year of operations
• 100+ Employees throughout the US
• Focus on Data, Analytics, and Testing
• Strong emphasis on Consultant Quality and Client
Relationship
• Onsite, Offsite and Nearshore Capabilities
• Certified SAP Services Partner
Company Overview | Method360
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Leveraging Data Services | Method360
Introduction Leveraging Data Services | Method360
Patrick Hanck
Sr. Consultant
Enterprise Information Management
Patrick has over 25 years of experience in consulting and
program management, working in aerospace, IT management,
finance, legal, services supply chain, distribution, and retail
industries. His specialty areas are provisioning information,
system implementation, and process engineering.
What are we going to do
Effectively leverage Data Services to realize business outcomes such as
increased sales, focused analytics and customer loyalty
• Examine a use case from the recently published book,
• Setting up a real-time job within Data Services
• Extend Data Services functionality with User Defined Transforms and
Python
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk Publishing
Use Case: Customer Loyalty
• You are a retail company, you have an e-commerce instance as well
as several physical store locations
• Your e-commerce web application captures users’ inquiries
• Leverage Data Services to convert missed opportunities
• You want to cross-reference inquiries with e-commerce sales.
• Identify inquiries that did not result in a sale.
• Identify the closest store location where the inquiry was made.
• Determine if stock is available at that store location
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk Publishing
Chapter 12
Use Case
Chapter 12
• Real-Time Job captures
product inquiries
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
Capture Retail Inquiries
- Create a real-time job
- Real-time job require source and target
messages (Nested schema formats)
- Create a XSD file
- Create a XML template file
- Load input data into a table via
XML_Pipeline transform
clip 6:05 minutes
• Real-Time Job captures
product inquiries
Inquiry Table
Use Case
Chapter 12
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
• Real-Time Job captures
product inquiries

• Cross-reference with POS
data defines unconverted
opportunities
Inquiry Table
Transaction Table
Use Case
Chapter 12
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
Capture Retail Inquiries
- Create a real-time job
- Create a XSD file
- Create a XML template file
- Load input data into a table via
XML_Pipeline transform
clip 4:47 minutes
- Create a batch job to identify sales
opportunities
- ‘Merge-enabled’ to update table and
pushdown for better performance
• Real-Time Job captures
product inquiries

• Cross-reference with POS
data defines unconverted
opportunities
Inquiry Table
Use Case
Chapter 12
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
• Real-Time Job captures
product inquiries

• Cross-reference with POS
data defines unconverted
opportunities

• Determine location of closest
store to opportunities
Inquiry Table
Use Case
Chapter 12
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
• Real-Time Job captures
product inquiries

• Cross-reference with POS
data defines unconverted
opportunities

• Determine location of closest
store to opportunities

• Determine stock levels of
closest store
Inquiry Table
Use Case
Chapter 12
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
• Real-Time Job captures
product inquiries

• Cross-reference with POS
data defines unconverted
opportunities

• Determine location of closest
store to opportunities

• Determine stock levels of
closest store
Inquiry Table
Use Case
Chapter 12
SAP® Data Services
The Comprehensive Guide
Published by
SAP Press & Rheinwerk
Publishing
Capture Retail Inquiries
- Associate unconverted users and
store locations
- User Defined Transform to calculate
distance between user and store
- Identify closest store
- Check product stock levels
clip 4 minutes
Haversine User Defined Transform
declare python modules
subroutine to calculate distance
input variables
body of script
output variables
Capture Retail Inquiries clip 4 minutes
Questions… Leveraging Data Services | Method360
Book Giveaway
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webinar?
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Check out our YouTube channel to view more webinars on-demand
Contact Information Leveraging Data Services | Method360
P R E S E N T E R
S A L E S & M A R K E T I N G
GREG CLARKE
714.380.2753
gclarke@method360.com
PATRICK HANCK
408.505.8686
phanck@method360.com
Thank You Leveraging Data Services | Method360
END-TO-END SERVICES. HIGH VALUE SOLUTIONS.
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Leverage Data Services to Boost Sales

  • 1. Leverage Data Services to Boost Sales Presented by Patrick Hanck | Senior Consultant, Enterprise Information Management
  • 2. About Us Leading Information Technology Consulting Services Company • Headquartered in San Francisco, CA • Local offices in San Diego, Chicago, Dallas, Pittsburgh, and Calgary • Celebrating our 15th year of operations • 100+ Employees throughout the US • Focus on Data, Analytics, and Testing • Strong emphasis on Consultant Quality and Client Relationship • Onsite, Offsite and Nearshore Capabilities • Certified SAP Services Partner Company Overview | Method360
  • 3. Housekeeping Items • Use the orange arrow button to expand the GoToWebinar panel • Please submit your questions and comments using the GoToWebinar questions panel. Questions will be answered at the end of the presentation • Today’s presentation is being recorded and will be posted on YouTube and SlideShare • You will receive an email with this information
 Leveraging Data Services | Method360
  • 4. Introduction Leveraging Data Services | Method360 Patrick Hanck Sr. Consultant Enterprise Information Management Patrick has over 25 years of experience in consulting and program management, working in aerospace, IT management, finance, legal, services supply chain, distribution, and retail industries. His specialty areas are provisioning information, system implementation, and process engineering.
  • 5. What are we going to do Effectively leverage Data Services to realize business outcomes such as increased sales, focused analytics and customer loyalty • Examine a use case from the recently published book, • Setting up a real-time job within Data Services • Extend Data Services functionality with User Defined Transforms and Python SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 6. Use Case: Customer Loyalty • You are a retail company, you have an e-commerce instance as well as several physical store locations • Your e-commerce web application captures users’ inquiries • Leverage Data Services to convert missed opportunities • You want to cross-reference inquiries with e-commerce sales. • Identify inquiries that did not result in a sale. • Identify the closest store location where the inquiry was made. • Determine if stock is available at that store location SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing Chapter 12
  • 7. Use Case Chapter 12 • Real-Time Job captures product inquiries SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 8. Capture Retail Inquiries - Create a real-time job - Real-time job require source and target messages (Nested schema formats) - Create a XSD file - Create a XML template file - Load input data into a table via XML_Pipeline transform clip 6:05 minutes
  • 9. • Real-Time Job captures product inquiries Inquiry Table Use Case Chapter 12 SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 10. • Real-Time Job captures product inquiries • Cross-reference with POS data defines unconverted opportunities Inquiry Table Transaction Table Use Case Chapter 12 SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 11. Capture Retail Inquiries - Create a real-time job - Create a XSD file - Create a XML template file - Load input data into a table via XML_Pipeline transform clip 4:47 minutes - Create a batch job to identify sales opportunities - ‘Merge-enabled’ to update table and pushdown for better performance
  • 12. • Real-Time Job captures product inquiries • Cross-reference with POS data defines unconverted opportunities Inquiry Table Use Case Chapter 12 SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 13. • Real-Time Job captures product inquiries • Cross-reference with POS data defines unconverted opportunities • Determine location of closest store to opportunities Inquiry Table Use Case Chapter 12 SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 14. • Real-Time Job captures product inquiries • Cross-reference with POS data defines unconverted opportunities • Determine location of closest store to opportunities • Determine stock levels of closest store Inquiry Table Use Case Chapter 12 SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 15. • Real-Time Job captures product inquiries • Cross-reference with POS data defines unconverted opportunities • Determine location of closest store to opportunities • Determine stock levels of closest store Inquiry Table Use Case Chapter 12 SAP® Data Services The Comprehensive Guide Published by SAP Press & Rheinwerk Publishing
  • 16. Capture Retail Inquiries - Associate unconverted users and store locations - User Defined Transform to calculate distance between user and store - Identify closest store - Check product stock levels clip 4 minutes
  • 17. Haversine User Defined Transform declare python modules subroutine to calculate distance input variables body of script output variables
  • 18. Capture Retail Inquiries clip 4 minutes
  • 19. Questions… Leveraging Data Services | Method360
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