This document describes a pre-configured SAP HANA solution for retail predictive analytics using both structured data from SAP COPA and unstructured social media data. The solution provides out-of-the-box analytics capabilities including sentiment analysis, customer feedback analysis, product comparisons, sales forecasting, and more. It utilizes a reference architecture incorporating SAP HANA, Hadoop, and other technologies. The solution offers rapid deployment, low risk and cost, and is customizable to business needs.

1. SAP HANA Rapid Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Cube Insights ~ Business Foresight

2. Contents
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
 Executive Summary
 Our Readily Deployable SAP HANA Solution – Retail Predictive Analytics
 Pre-Configured Solution Reference Architecture
 Pre-Configured Solution Flow
 Pre-Configured Analytics and Capabilities
 Pre-Configured Solution Building Blocks
 Pre-Configured Solution Demo - “a Step By Step Approach”
Our Key Differentiators
 Our Contact

3. Our Research and Innovation Team
Mr. Satya Vipperla
- SME, SAP HANA and BI Solutions Architect
Mr. Purnaram Kodavatiganti
- SME, SAP HANA and BI Solutions Architect
Mr. Raju Malapati
- SME, SAP HANA and BI Solutions Architect
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Mr. Minesh Amin
- SME, SAP HANA, HADOOP and BI Solutions Expert
Mr. Jothi Periasamy
- Chief SAP HANA Architect and Big Data Scientist
Authors
Scientists

4. Executive Summary
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
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 behaviour 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).

5. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Our Solution Reference Architecture

6. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Our Solution Flow

7. Our Pre-Configured Analytics
 Sentiment Analytics
 Customer Rating Analysis
 Customer Feedback Analysis
 Customer Segmentation Analysis
 Product Comparative Analysis
 Competition Analysis
 Revenue Predictive Analytics
 Sales Volume Analysis
ScopeofAnalytics
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

8. Social Scorecard and Sentiment Analysis
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

9. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Customer Feedback and Rating Analysis

10. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Product Comparative and Competition Analysis

11. Sales Volume Forecasting and Analytics
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

12. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Revenue Predictive Analytics

13. Real-Time Twitter Feeds
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

14. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
SAP COPA and SAP GL Financial Posting

15. Our Solution Building Blocks
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

16. Our Solution Process Flow
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

17. Our Solution Process Flow – Continued …
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

18. Our Solution Process Flow – Continued …
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

19. Our Solution Data Model - SAP HANA & HADOOP Key Tables
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

20. Our HADOOP Infrastructure
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

21. Real-Time Twitter Extracts
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

22. Real-Time Twitter Data Extraction
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

23. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Real-Time Twitter Extracts
Twitter Data Storage Table Structure

24. Data Integration - HADOOP and SAP HANA
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

25. Data Mapping – SAP COPA and Twitter
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

26. Text Parsing – SAP COPA and Twitter Sentiments
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

27. HDFS and MapReduce
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

28. HDFS and MapReduce
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

29. HDFS and MapReduce
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

30. HDFS and MapReduce
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

31. HDFS and MapReduce
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)

32. An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Our Key Differentiators
•Solution
Build and
Optimize
•Support
•Enhance
ments
•Rapid
Deployment
•Design Audit
•Strategy
•Roadmap
•POC
Research Advisory
Impleme
ntation
Sustaina
bility
SAP HANA
Big Data
 Readily deployable hosted solutions
Using combination of SAP's best practices and
our proven methodology to accelerate
implementation, low risk and cost
Business can realize their future state from day
one
 Reference architecture
 Predefined data model, views, and functions
 Easy to customize and adopt business changes
 Support for future software upgrades/patches
 Flexible deployment plan and rollout strategy
 Wide range of engagements within SAP and the
SAP ecosystem to keep abreast of latest tools
and technologies

33. Our Research and Innovation Team
Mr. Satya Vipperla
- SME, SAP HANA and BI Solutions Architect
Mr. Purnaram Kodavatiganti
- SME, SAP HANA and BI Solutions Architect
Mr. Raju Malapati
- SME, SAP HANA and BI Solutions Architect
An Accelerated
SAP HANA &
HADOOP
Implementation
Retail Predictive Analytics
Unstructured (Social Media) & Structured Data (SAP COPA)
Mr. Minesh Amin
- SME, SAP HANA, HADOOP and BI Solutions Expert
Mr. Jothi Periasamy
- Chief SAP HANA Architect and Big Data Scientist
Authors
Scientists
info@CubeInsights.com
http://www.CubeInsights.com