• Objective of this demonstration is to provide enough functional and technical details about our pre-configured SAP HANA enabled predictive analytics on SAP COPA and social media data - “Big Data” • In this demonstration we will be presenting the out of the box analytics capabilities of SAP HANA. Viewers will learn on how our pre-packaged solutions will cut-down the implementation time, and risk with low predictable cost • An ideal Advanced Analytics solution should have the capability to extract business values from unstructured information and convert that into actionable insight. We will show how to analyze and integrate an un-structured social media data to provide valuable insight on customer behavior and sales trends. All these on our hosted solutions over an Amazon cloud infrastructure • Our readily deployable solutions uses the new features of SAP HANA 1.0 SPS5 including the new Text Analysis engine for entity extraction (for example persons, locations, products), and "Voice of Customer" fact extraction (for example sentiments, requests, topics)

1. BIG Data Implementation
Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
SAP HANA & HADOOP Implementation
Jothi Periasamy
Chief SAP HANA Architect and Big Data Scientist

2. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Executive Summary
• Objective of this demonstration is to provide enough functional
and technical details about our pre-configured SAP HANA enabled
predictive analytics on SAP COPA and social media data - “Big
Data”
• In this demonstration we will be presenting the out of the box
analytics capabilities of SAP HANA. Viewers will learn on how our
pre-packaged solutions will cut-down the implementation time,
and risk with low predictable cost
• An ideal Advanced Analytics solution should have the capability to
extract business values from unstructured information and convert
that into actionable insight. We will show how to analyze and
integrate an un-structured social media data to provide valuable
insight on customer behavior and sales trends. All these on our
hosted solutions over an Amazon cloud infrastructure
• Our readily deployable solutions uses the new features of SAP
HANA 1.0 SPS5 including the new Text Analysis engine for entity
extraction (for example persons, locations, products), and "Voice
of Customer" fact extraction (for example sentiments, requests,
topics)
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

3. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Our Solution Reference Architecture
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

4. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Our Solution Flow
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

5. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Our Pre-Configured Analytics
• Sentiment Analytics
• Customer Rating
Analysis
• Customer Feedback
Analysis
• Customer Segmentation
Analysis
• Product Comparative
Analysis
• Competition Analysis
• Revenue Predictive
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

6. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Social Scorecard and Sentiment Analysis
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

7. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Customer Feedback and Rating Analysis
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

8. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Product Comparative and Competition Analysis
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

9. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Sales Volume Forecasting and Analytics
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

10. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Revenue Predictive Analytics
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

11. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
Real-Time Twitter Feeds
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

12. Predictive Analytics – CPG and Retail
on Unstructured (Social Media) & Structured Data (SAP COPA)
An Accelerated SAP HANA & HADOOP Implementation
SAP COPA and GL Financial Posting
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228
JoeSaran@gmail.com

13. About the Innovator
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
Recent Clients



Industry Focus


Jothi Periasamy is a national practice director and global
innovation leader at KPMG’s big data and analytics practice. Jothi
has deep “hands-on” subject matter expertise in big data,
predictive analytics, cloud technology and in-memory computing.
Jothi has around 17 years of expertise in SAP, and his expertise
includes project delivery, practice development, thought
leadership and sales & pre-sales. He specializes in several
industry processes including finance transformation, retail, point
of sales, smart grid analytics, performance improvements and
data governance. He focuses on creating client opportunities and
values through business analytics, planning, forecasting, and cost
allocation, profitability and cost management, activity based
costing, and management/statutory reporting.
Jothi’s most recent experience includes working with clients on
global big data driven analytics implementation initiative to
develop a worldwide rollout strategy and deployment plan,
enterprise reporting architecture, data management and
governance framework.
Jothi works very closely with organizational senior leaders,
business process owners to develop an approach, methodology,
and accelerators to standardize data and analytics process across
enterprise.
Jothi has been regarded by fortune 500 company CIO’s and CFO’s
as a world’s best data and analytics subject matter resource
(SMR) and delivery expert.
Jothi has written numerous articles on finance, and SAP
(BI,EPM,EIM,HANA), and he has been engaged on several speaking
engagement at various industry conferences and events,
including SAP reporting and analytics, AICPA, SAP Insider, SAP
TechEd, BPC bootcamp, Oil & Gas, Retail and global Power &
Utility events
Key Accomplishments: Project Delivery:
Employment History








Four(4) Cloud implementation
Three(3) Big Data implementation
Two(3) SAP HANA implementation
Seven(7) SAP BPC full lifecycle implementation
Ten(10) SAP BOBJ full lifecycle implementation
Ten(10) SAP BI/BW full lifecycle implementation
Seven(7) EIM (Enterprise Information Management)
Implementation
Three(3) enterprise portal solution implementation

14. About the Innovator
Jothi Periasamy
Chief SAP HANA Architect & Big Data Scientist
Publications
Big Data and Analytics Innovation:






Speaking Engagements

SAP HANA Book, In the process of publishing a Big Data use case
book, titled “SAP HANA for Financials” through SAP press.
Predictive Analytics, Designed and developed SAP HANA financial
predictive analytics solution to predict financial performances in
real-time.
Advanced Analytics, Integrated structured and unstructured data
using SAP HANA and HADOOP platform for SAP COPA based
advance analytics.
Driver Based Analytics, Designed and developed a financial
planning, budgeting, and real-time forecasting solutions called
“Driver Based Performance Management”.
Financial Fast Close, Designed and deployed a SAP BPC financial
consolidation (Investment & Intercompany) solutions across 53
countries and 19 currencies
Smart grid Analytics, Architected and developed Smart grid
analytics solutions on SAP HANA, AIM and MDM platform to
process massive volume of energy data in real-time.
Accelerators, Developed tool kits to accelerate client
engagements and solutions development.
Leadership Accomplishments:



Training

Strategy Management – Worked collaboratively with stakeholders
to establish a business driven vision for the future of data
management and information technology systems, processes and
a roadmap to achieve that vision
Project Management – Acted as both a technical contributor to
key initiatives and portfolio manager for all data management
and analytics projects; ensure support transition.
Engagement Management – Internal champion of data
management/governance/risk to peers and partners in IT and
business management groups; develop and maintain strong
external perspective to keep up with new developments in the
industry leading practices.
Staff Management – Direct people manager for project and
operations staff, overseeing team performance, providing
coaching and mentoring to the team regarding accountabilities
and longer-term career planning; owns rewards, financial
benefits and ranking for the team perspective to keep up with
new developments in the industry.