Ken Tsai, Head, SAP HANA and Data Management

Reach New Markets and Customers with a

Comprehensive Data Management

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A new way to manage all forms of data. Unprecedented speed and efficiency for real-time business transformation.

SAP Data Management End-to-end, real-time data management

Real Time Lower TCO No Limits

SAP ESP Real-time complex event processing

SAP SQL Anywhere Mobile and Embedded Database

SAP IQ Logical Big Data warehousing (OLAP)

SAP Data Services

All types of data integration

Real-time, in-memory database, data processing,

and application platform

SAP HANA PLATFORM

SAP ASE Database for online transaction processing (OLTP)

SAP Replication Server High-volume transactional data replications

3 © 2014 SAP AG or an SAP affiliate company. All rights reserved.

Compliance

Fraud detection

Auction systems

Insight from Enriched Data

(SAP HANA + GIS)

Extreme OLTP

(SAP ASE)

Real-Time Transaction + Analytics

(SAP HANA + SAP ASE)

Geospatial planning applications

Location-based applications

Stock trading systems

Reservation systems

Telecom billing and operational systems

Customer profitability analysis

Big Data initiatives

Social data analysis

Big Data Warehouse Analytics

(SAP HANA+ SAP IQ)

Device-to-Data Center

(SAP HANA + SAP SQL Anywhere)

Streaming and Event Analytics

(SAP HANA + SAP ESP)

Real-time promotions

Real-time pattern analysis

Kiosk ticketing systems

Smart metering

Delivery tracking

Market feeds

Sensor data analysis

Sentiment intelligence

Opportunities for the SAP Data Management portfolio

Reach New Markets &

Customers with SAP Data Management

Ramesh C Nair Chief Manager – Systems Development

Ramesh.nair@asianpants.com

SAPPHIRENOW 2014

Reach New Markets & Customers

with Comprehensive Data Management

Delivered by Mr. Ramesh C Nair

5.00PM – 5.20PM

Abstract

Learn how a globally scalable data infrastructure helps

expand market and customer reach by facilitating the

capture and analysis of, and response to, market

trends, competitive actions, and customer behavior.

Hear how the SAP Data Management portfolio helped

a customer improve decision quality and speed

through unified access to all relevant data.

The Indian

Paints Industry

We want to tell you a little about

ourselves, but first …

60% Market share

Top 4 players have

30,000 Valued at approximately

Rs

CRS

2.5kg Per Capita Consumption

Approx.

(Very low)

75:25 Decorative to Industrial Split

50 FORBES ASIA’S

FAB

10,000 GROSS REVENUE

RS

2011-2012

2X NEAREST

COMPETITOR

3 ASIA’S

LARGEST

rd

PAINT COMPANY

$2 GROUP REVENUE

BILLION

17 OPERATIONS IN

COUNTRIES

24.7 % 2011-2012

GROWTH IN SALES

24 PAINT

MANUFACTURING

FACILITIES

47 YEARS

MARKET LEADERSHIP

OF 50 FORBES ASIA’S

FAB

50 PART OF

NSE NIFTY

60 COUNTRIES

SERVICING CONSUMERS

+ 10,000 GROSS REVENUE

RS

2011-2012

7,000 EMPLOYEES

WORLDWIDE

+

NUMBER 1

INDIA PAINT COMPANY

IN

13 LARGEST

th

PAINT COMPANY

16 24

countries

paint manufacturing facilities

with

We operate in

Caribbean Jamaica, Barbados,

Trinidad, Tobago

Middle East UAE, Bahrain & Oman

India, Sri Lanka

Nepal & Bangladesh

Fiji, Tonga, Vanuatu,

Samoa & Solomon Islands

Singapore

• Sales at customer /product/material level is critical for Month End

Targets, Promotions and Sales Force Incentive

• Approx. 20,000/day billing documents with 15 line items. Peaking over

30,000/day.

• Key dimensions : (30000 customer codes, 125 product codes, 3600

material codes)

• Existing custom report from SAP ERP systems & BW has technical

challenges in giving consistent real time sales information owing to

increased load

BACKGROUND

• Need established to have a platform which can deliver sales information

Real Time and also allow monitoring at granular levels of customer,

product and material level

NEED

Real-time

Sales

Monitoring @

Asian Paints

Dilemma:

Big Excel

Robust transaction systems /

Mature business processes –

“explosion in reporting needs”

Growing Business/

Increasing

Transactions – Strain

on Governance /Risks

Evolution of Departmental MIS /

Localized MIS

Business Expansion

across International

locations

Transactional Systems delivers

“Static Reporting” better

Reporting across years has

limitations in transaction systems

Transactional Systems have

limitations in flexibility in report

build & delivery

Departmental MIS – evolved

and established for Supply

Chain, Manufacturing ,

Finance Function

Localized versions of MIS

across various sales locations

Manageability of MIS versions

– increasing difficulty!!

Faster & Accurate

Consolidation – a

necessity!!! Adhoc identification of

exceptions –

increasing impact!!!

INTEGRATED STRONG NEED FOR AN

PLATFORM

MANAGE BUSINESS PERFORMANCE

TO

Key Decision

Factors Deliver Key

Outcomes identified for Enterprise

Performance

Management

Empower

Decision Makers with appropriate

“Reporting & Analyses

Universe” to manage the

key outcomes

Enable Actions -

within & Beyond

Enterprise Information /

Collaboration / Process

Beyond

“Metrics

Consolidation”

Minimize

decision

making based

on excel sheets by downloading data

from Enterprise

Applications

Eliminate

Information

Intermediaries

Comprehensive

Data

Management • SAP Business Warehouse is the Enterprise Data Warehouse

• BW on HANA leveraged for Extensive Analyses

• Open HANA leveraged for Analytical Applications

• Cognos TM1 for Financial Performance Management

managed as part of

the Enterprise wide

BI Program

350+ outcomes Visualization

• Cognos BI for

Formatted Reporting

• Business Explorer /

Explorer /Visual

Intelligence for Data

Discovery

Engagement

• Mix of Business & IT

to champion BI

• Early Stages of

Business Intelligence

Competency Centre

Comprehensive Enterprise Data Model implemented to

manage the 350+ outcomes

Sem

an

tic L

ayer

Architecture

BI Layer

Data Layer

Source Layer

CO

GN

OS

FR

AM

EW

OR

K

MA

NA

GE

R

Package 3

Package 2

Package 1

ETL Layer

Non SAP

Sources SAP

SAP BW /BW

on HANA

TM1 Cubes Custom

Data Mart

Package n

Pre

sen

tati

on

Layer

Cognos Dashboards Cognos Reporting

Cognos Connections

Security Layer

Informatica

Open

HANA

SAP Relevant

Sem

an

tic L

ayer

Calculated Views

Analytical Views

Pre

sen

tati

on

Layer

Cognos

Controller/TM1

Informatica SLT

Explorer/

VI Data Discovery

NW Extracts

MDX

Implementation Impact

LEAN

WAREHOUSE

Queries reduced from 2,784 to 1,136 AVERAGE

COMPRESSION

RATIO

Classical BW Foot Print from

3.2 TB to 625 GB BW HANA

+ 300 GB NLS

AVERAGE QUERY

ON PERFORMANCE

IMPROVED BY A

FACTOR OF

20

Data Targets reduced from 760 to 643

(345 DSO & 298 Info Cubes)

Data Foot Print reduced from 5.5 TB to 3.2 TB

5 AVERAGE DATA

LOAD TIME REDUCED BY 30% Daily Production Report

(DBU):

45 mins to < 2 mins

2,200% improvement

Extensive analysis on plant

production performance

now possible through

online slice/dice of data.

Daily Movement

Report CMD (at

material level):

Used to time out in

BWP

Executes on

6 mins in

BHP

Product Sales

Analysis DBU Plan

Vs Actual:

Country level Sales &

Cheque Returns MTD &

YTD Report:

Significant

Impetus to

Classical BI

&

Mobile BI

10 mins to < 1 min

1,000% improvement

50 mins to <1 min

5,000%

improvement

Stunning

Results Ability to proactively identify and adapt to changing market needs based on history/trend and predictive analysis

leveraging integrated data across multiple sources

Planning and tracking Market and Sales growth and performance along multiple dimensions to enable designing new

strategies for growth

Product/ Planning Cluster/ Town /Locality

Robust performance management through analysis around “Plan versus Actual” and also “Impact of action taken” for

Financial Plans (Overhead/ CAPEX/ Overheads/ Depreciation)

Sales Plans

Intelligent Dealer engagement (deepening, retention and perpetuation strategies)through powerful insights around

Dealer life cycle (Regular to Critical Retailer to Premium Retailer)

Dealer TCO Sense check (CR ROI)

Empowered Sales Force with a “single window” of integrated analytics from “Sales to Service”, rendered role-wise

(Stocks, Schemes, Service Metrics)

Insightful market spend analysis to track scheme and promotion efficiency/effectiveness

• Agile Data Mart on Open HANA

• Real Time Replication using SLT

• Visualization with Explorer

SOLUTION

DETAILS

• Real Time Sales for all 150 sales managers and the top management has

been enabled

• The sales function is able to do data discovery on sales across all key

dimensions - customer hierarchy, product, material, customer, billing

document at a day level on a real time basis.

• The sales team Track Top N, Bottom N at sales at overall , customer,

material, product level real time.

USAGE

• Milestone management for promotion has significantly improved

• More than 80% of the periodic sales reporting is redundant with the

availability of the Real Time Sales Monitoring

• Zero dependency on MIS teams - First Time experience of Self Service in BI

• The sales team actively revisit the operational planning during the course of

the month and during the day on month end and peak (days of promotion

closure)

• Scheme Planning for next month is completed on the first business day

IMPACT

IMPACT

User Feedback

“ “ Amazingly fast, even on

a data card, Extremely

intuitive and easy to

navigate.

“ “

Its an excellent tool. I am impressed with the real time data

and things which are very useful area. Real time product

sales data

Its FAST - its really FAST Also - its pretty fancy -

otherwise AWESOME !!!

“ “ You have handed us

an excellent tool for

analysis.

DESIGN THINKING Undertaken with SAP

to conceptualize the servicing workbench

First Release Planned in FY14

Focus Area Outlook 2014

Servicing Workbench: Next Gen Operational Decision Support

Integrated Solution : Answer, Analyze, Anticipate and Act

• What Stock is expected in

future? When? From

where?

• Do I have enough before

the peak ?

• Low OFRs? Long Stock-

outs? Likely stock outs?

• When & From Where can

this be serviced ?

• Why did this happen? Very

high, unusual orders? Etc…

• Collaborate & take

corrective actions

• Anticipate & alert Service

Deviations, mal-

distribution?

• Pre-emptively Suggest re-

routing, re-allocation,

postponement of certain

deliveries?

• Take Analyses output &

initiate Service requests

with context

• Redistribute free Stock

• Raise/Lower Dispatch

Priority

• Raise/Lower Production

Priority

Reaching New Markets & Customers

with SAP Data Management

Q & A

THANK YOU

Ramesh C Nair Chief Manager – Systems Development 5th Floor, West Wing, Kalpataru Synergy, Opp. Grand Hyatt, Santacruz (East), Mumbai-400 055, India

Ramesh.nair@asianpants.com (M) 098671 95449 (D) 022 39818919

SAPPHIRENOW 2014