revenue protection & distribution system analytics - esi-

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Revenue Protection & Distribution System Analytics - Using in memory computing & big data analytics Sanjeev Kumar Singh Sr. Consultant | Utilities Solutions | Mahindra Satyam | Contact | (M) +91 8106720202 | (O) +91 40 6737 4972 | Fax +91 40 4022 4122 | Email | [email protected] | Global Center of Excellence | Utilities |

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Revenue Protection & Distribution System

Analytics - Using in memory computing &

big data analytics

Sanjeev Kumar Singh Sr. Consultant | Utilities Solutions | Mahindra Satyam |

Contact | (M) +91 8106720202 | (O) +91 40 6737 4972 | Fax +91 40 4022 4122 |

Email | [email protected] |

Global Center of Excellence | Utilities |

6 decades of value

creation

Revenue :

USD 15.6 billion

Associate base:

~1,45,000

Amongst the most

respected Indian

companies – Forbes

Automotive Farm Equipment Trade, Retail & Logistics

Infrastructure Development Information Technology After Market

Financial Services Systech Specialty Business

About Mahindra Group

Czech Republic

Hungary

Switzerland

Finland

New

Zealand

Brazil

South

Africa

Canada

United States

of America

Denmark

Sweden

Belgium

Italy Spain

France

Netherlands

Germany

UK Ireland

Qatar

India

Bahrain

Saudi Arabia

Jordan

UAE Egypt

Australia

Singapore Malaysia

China Japan Korea

Thailand

Taiwan

Americas Europe Asia Pacific

MEA & India

Hong

Kong

Mahindra Satyam - Global Presence 35,000+ Associates

>90% engineers and business graduates

60+ nationalities

28 years average age

95% Local Associates in Eastern Europe, China & Africa

• Strong presence in GCC, Levant and African countries since 1999

• Fastest growing region for Mahindra Satyam globally

• Over 140 full lifecycle implementations

• 450+ associates in Middle East + 300 supporting from offshore centers

• Highly matured processes across business consulting, ERP

implementations, Infrastructure management services, software

development and support

• Extensive Investments :

• Presence to be close to Customer [UAE, Qatar, Kuwait, Oman ,

Bahrain and Saudi Arabia]

• Set up of Full fledged Operations in Johannesburg to cater to

South African Operations

• Near Shore Development Center in Egypt

Mahindra Satyam Middle East & Africa

African Story – Since 2004

Matured practice with 10+ years of experience; focused on end-to-end solutions for Utilities

Served 55 + Customers spread across

globe

Focused on end-to-end Solutions for

Utilities

A decade of experience in EAM, BI and

ERP

Utility Business Application – CRM/CIS,

CC&B ,MDM , AMI , Mobility solution –

Handhelds

Smart Grid components – design &

integration – AMI , DR , Microgrid ,

Energy Optimization application ,

Automation

Have worked with 25 of the 50 largest

electric utilities and 23 of the largest 50

gas utilities in North America

Our group owns a water utility by name “

Mahindra Water Utilities”-

http://www.mahindra.com/What-We-

Do/Consulting-

Services/Companies/Mahindra-Water-

Utilities

Practice Highlights Key Value Preposition

•Thorough knowledge of Utility Economics and business planning process, including regulatory treatment, that are required to develop a profitable strategy and business case for investment

Financial

•Deep understanding of the implications of integrating new technologies with existing T & D infrastructure, including Smart Meter / AMI, Distribution and Substation Automation, Outage Management, Distributed Generation and Distribution Management

Technical

•Long Term experience helping Utilities deal with broader critical issues that they face, including Asset Management, Regulatory Policy, Reliability and Safety, Vendor Selection and Supply chain Management

Operational

•A History of Innovation and thought leadership in the industry through active participation in leading organizations such as Grid -Wise Alliance, Working Committee, NRDC & others. Our Consultants have worked with over half of the top 50 electric utilities in North America.

Industry Leadership

Utilities Practice Highlights

Utilities have to manage huge amount of data

Huge

amount of

Data

Customer interactivity

Electrical

Infrastructure

Information

Infrastructure

Analytics will unleash the business value from that information. Utilities will be able to develop situational

awareness and also plan operations more effectively.

‘Big Data’ sources are many, both from the new and

existing utility infrastructure

To have real-time access to utility databases

Able to read all data fields in all systems (but not modify them)

To check all equipments (meters, transformers, generators, etc.)

All losses and imbalances are to be tracked in real-time

Decisions are based on cost, staff availability, and pre-set performance

targets

System to automatically order equipment needed for future work and

monitor equipment inventory

In real time to monitor all network operations

System need to automatically schedule field work if equipment (or

customers) behave unexpectedly

Why do Utilities need analytics?

In-Memory Platform

Real-Time Analytics

Content/Applications

Accelerated BI

Benefits of Using SAP HANA for M2M Analytics

Speed and power of in-memory processing

Seamless Integration to M2M Devices using

Communication gateway

Less Database Space compared to traditional

Database

Open, agnostic architecture

Real-time insight into

Business operations without the delay

Huge volumes of detailed information

360 degree Deep-dive of M2M generated

machine data

Real Time Analytics using SAP HANA

2 million Records in 0.937 seconds 1000 times of transformation from 10 Min

Data Management

(ETL: Extraction,

Transformation

and Loading) Business

Intelligence

Solutions

(Dashboards,

Portfolio

Analysis)

Pricing

strategies

Demand

Management

Assets

Management

Outage

Management

Revenue

Protection

Data visibility

and

Understanding

the right

problem

Balancing &

Settlement

Predictive Models

(Demand Response

Model, Energy Load

control Model)

Customer

Analytics

(Segmentation

and profiling)

Business

Challenges

Analytics

Challenges we can solve…

Monitoring Devices / Evidence Collection

Managing the field inspections and Documents

Dash Boards / KPIs / Reporting

Regulatory & Statutory

Compliances Legal

framework

Case Manage

ment

Dat

a R

ep

osi

tory

, Me

ter

Dat

a, S

ite

Ph

oto

s, V

ide

os,

In

spe

ctio

n D

ocu

me

nts

Correlated Loss Analysis

Profile Administration & Balancing

Virtual Group Behavior Analysis

Distribution Operations Monitoring

Analytics for Revenue Protection and

Operational Excellence

Creating and updating the reference points

Solution Frame Work for Utilities Analytics

By

Pass

CT PT

Meter

Primary (MV)side Metering

Monitoring

device

Systems Details

Distribution

Feeder (MV)

Customers

Primary

Substation

Distribution Transformer

Power network parameters like

Power, Energy, Voltage, Current,

Power factor, etc.

Communication

Middleware

SAP HANA Energy Meters

Solution Architecture

GPRS

Reading & Billing

Customer

Information system

Electrical N/w

Management

System

Customer

representative

Profile

DataBase

Utility Aps & DB

Broker Client

SAP BODS SLT (Real-Time)

Reading & Billing

Customer

Information

system

Electrical N/w

Management

System

Customer

representative Profile

For N

on

SAP

Cu

stom

er

SLT (Real-Time)

SAP ECC IS -UTILITY

DT

DT

SM

SM

IDT

SAP BO Reporting

Tools (Webi, Explorer,

Dashboard)

Communica

tion Middle

ware

Integration

queue

Important use Cases

Loss Diagnostic Studies – Profiling & Estimation

Loss Diagnostic Studies – Statistical Analysis

y = 0.0714x + 13.191 R² = 0.9662

0

5

10

15

20

25

30

35

40

45

0 100 200 300 400 500

Axi

s Ti

tle

Axis Title

Typical Theft Profile

Typical Theft Profile

Linear (Typical TheftProfile)

0

50

100

150

200

250

300

350

400

450

1 4 7 10131619222528313437404346

Axi

s Ti

tle

Axis Title

Chart Title

Delivered Units

Typical Theft Profile

Z= 95% confidence level = 1.96

S= Standard Deviation = 1099

E= Error tolerance = 0.5

Asset Management - Load Monitoring

Load duration curves can tell us

about the peak loading & duration

of overloading

Suppose, this is 100%

rating

Peak load

This is the duration of

overloading

Asset Management - Phase Unbalance Studies

Asset Management - Reactive Demand Profiling & Studies

Base & switched capacitor requirement Should be taken from the profile Curve

This can be linked to upstream voltage conditions

Customer Analytics

Customer Analytics

Application Video

Zero down Commercial Losses

Optimized Technical Losses

Enhanced Asset Life at least by 20 % - 30 %

Reduced expenses on maintenance – Reduction of around 20- 30 % possible

Comprehensive information system helps in network planning and ensure the reduced investment on electrical Power network

Verification tools for demand Response

Security and Safety of general public

Ensures proper billing & Settlement

Benefits for Utilities

Mahindrasatyam.com

Safe Harbor

This document contains forward-looking statements within the meaning of section 27A of Securities Act of 1933, as amended, and

section 21E of the Securities Exchange Act of 1934, as amended. The forward-looking statements contained herein are subject to

certain risks and uncertainties that could cause actual results to differ materially from those reflected in the forward-looking

statements. Satyam undertakes no duty to update any forward-looking statements. For a discussion of the risks associated with our

business, please see the discussions under the heading “Risk Factors” in our report on Form 6-K concerning the quarter ended

September 30, 2008, furnished to the Securities and Exchange Commission on 07 November, 2008, and the other reports filed with

the Securities and Exchange Commission from time to time. These filings are available at http://www.sec.gov

Thank you