sap hana & hadoop implementation - predictive analytics – cpg and retail on unstructured...
DESCRIPTION
• 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)TRANSCRIPT
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect and Big Data Scientist
SAP HANA & HADOOP Implementation
BIG Data Implementation
Predictive Analytics – CPG and Retail on 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 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)
Executive Summary
An Accelerated SAP HANA & HADOOP Implementation
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Our Solution Reference Architecture
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Our Solution Flow
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Our Pre-Configured Analytics
• Sentiment Analytics • Customer Rating
Analysis • Customer Feedback
Analysis • Customer Segmentation
Analysis • Product Comparative
Analysis • Competition Analysis
• Revenue Predictive
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Social Scorecard and Sentiment Analysis
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Customer Feedback and Rating Analysis
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Product Comparative and Competition Analysis
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Sales Volume Forecasting and Analytics
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Revenue Predictive Analytics
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
Real-Time Twitter Feeds
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
SAP COPA and GL Financial Posting
An Accelerated SAP HANA & HADOOP Implementation
Predictive Analytics – CPG and Retail on Unstructured (Social Media) & Structured Data (SAP COPA)
Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
(916)-296-0228 [email protected]
About the Innovator Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist
Recent Clients
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:
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
Industry Focus
Employment History
Big Data and Analytics Innovation:
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:
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.
Publications
Speaking Engagements
Training
About the Innovator Jothi Periasamy Chief SAP HANA Architect & Big Data Scientist