sap analytics for procurement

SAP ANALYTICSHow Analytics for procurement can help you reduce expense and proactively manage supplier risk

© 2011 SAP AG. All rights reserved. 2

Executive Summary

Your procurement and supply chain businesses are perhaps hounding you for continuous supplier and spend intelligence – reports that will help drive supplier selection decisions, track performance of suppliers and manage spend to be within budget. However, your supplier data requires de-duplication, normalization and enrichment – enrichment with various sources of information such as credit and risk, debarred businesses, minority owned, and corporate ownership information to help during critical supplier discussions and negotiations. IT no longer needs to drown from these requests and spend weeks or even months responding to this request. With SAP’s solutions, and partnerships with 3rd party data providers, you can empower your procurement, finance and supply chain business users.

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Learning Points

Find the answers to these questions: What is Procurement Analytics? How can Procurement Analytic Applications help the Procurement Analysts Know,

Decide and Act With Confidence? What are the Best-Practices?


Learn about…

Analytic Applications for Procurement

The problems and solutions Data Enrichment and Classification Spend Performance Management

Customer Best Practices

What’s Next


ANALYTIC APPLICATIONS FOR PROCUREMENT

SAP Analytics

5


Increasing Costs & Reaction to Risk

75% of CFOs under pressure to increase savings and decrease risk (Aberdeen Group, 2010)

Less than 40% of finance professionals are currently enriching their spend data with risk information, making savings erosion an even more critical problem (Aberdeen Group, 2010)

Global Trends

Shifting CPO Focus

70% of CPOs expressed a need to focus on Competitive Insight, Risk, Compliance, and Supplier Management vs. Transaction Management (CPO Research)

86% of purchasing and finance professionals rate Spend Analysis as a high value function (Aberdeen Group, 2010)

Procurement is taking on a strategic role to deliver value and bottom line savings

Limited Spend Visibility

34% of enterprises still do not have an automated means to collect and aggregate spend data from various sources (G/L, AP, ERP, etc.) to achieve timely, accurate and complete information (Aberdeen Group, 2010)

Inadequate or ‘too late’ spend insights

Growing Need for Reliable Data

56% of ISM members rate data reliability as the number one challenge in strategic sourcing (Institute of Supply Management, 2009)

62% of all enterprises are still using manual means to classify and cleanse spend data (Aberdeen Group, 2010)

US Department of Defense reports that 40% of excess costs were the result of unreliable data

Customers want an integrated, repeatable process to ensure reliable analyses


Analytics for Everyone, Everywhere, AnytimeO

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MANUFACTURING l RETAIL l HEALTHCARE l BANKING l UTILITIES l TELCO I PUBLIC SECTOR

How and whydid it happen?

What is the risk if it does/doesn’t happen?

How do you prevent / ensure it happens again?

Whathappened?

What is happening now?

What willhappen?

Tom Davenport International Institute for Analytics


Know, Decide and Act With Confidence

Contextually answers process driven

questions

Seamlessly integrates with Business Processes

Applications to deliver actionable insight

Aggregates Enterprise Data To Optimize Strategic Business Functions

Purpose-built ApplicationsEmbedded Applications


Analytics for Procurement

Decision Support for the Procurement

Function

Data Reliability

Supplier Perfor-mance

Analytics for ProcurementAnalytic Applications

Supplier Risk

Spend Analytics


SAP Sourcing / SAP Sourcing

OnDemand

SAPContract Lifecycle

Mgmt

SAP SRM, SAP ERP & SAP Cart Approval

SAP Invoice Mgmt by OpenText

Supplier Connectivity via SUS and Crossgate / Hubwoo*

SAP Spend Performance Management

SAP Data Enrichment & Classification

SAP Procurement PortfolioIntegrated Solutions that Support the Process

Spend Analytics

Supplier Management

Sourcing Contract Management

Operational Procurement

Invoice Management

SAP Supplier Lifecycle Mgmt

In Ramp Up!

New!


Transforming the Way Procurement Users Gain Insight

external Data Integration

ChangeManagement

Problem Management

Visually analyze the

spend breakdown for

a specific item

See what portion of

item spend comes

from freight charges

versus material costs

Self Service Data Reliability

Self Service Reporting


DATA ENRICHMENT AND CLASSIFICATION ONDEMAND

Data Reliability

© SAP AG 2009. All rights reserved. /


Data Enrichment and Classification OnDemandSolution Overview

A cloud-based, network application that combines spend data with global content and services to improve data reliability for strategic sourcing and spend analytics.

How can I aggregate all my spend data in one place and be sure it’s

accurate?

Manage accuracy and completeness of company-wide spend data from multiple sources

Gather data from SAP and non-SAP sources

Data Collection

My supplier identities are obscured due to poor

data quality and lack of content!

Increase leverage opportunities with normalized suppliers

Improve decision-making with enriched content

Enrichment

How do I know what I’m really buying?

Increase visibility to both direct and indirect spend

Improve understanding of spend activity with a consistent structure for goods and services

Classification

How can I add my own knowledge into the

process?

Incorporate subject matter expertise with the Revision tool

Apply changes to the current cycle and future cycles for continuous improvement

Revision


What Do Data Collection Do?

Lack of standard process for collecting data from disperse systems

Lack of integration into external data sources

Standard ETL tool to support external data collection Integration into SAP Spend Performance Management to

collect raw information Monitor progress towards meeting timelines

Result: Organizations can increase accuracy, timeliness and automation decreasing risk of bad data and TCO

Challenge SAP Benefit

Definition• The purpose of Data Collection is to ensure a complete and accurate aggregation of spend data from multiple sources on

a periodic basis.

• During the Data Collection phase, master and transaction files are received from multiple sources and reviewed for accuracy, technical validity and content integrity. Sources are then approved for further processing or rejected.

Result: Organizations are unable to collect their data in a timely and automated fashion.


What Do Supplier Data Standardization and Enrichment Do?

Lack of standard process for entering supplier names into transaction systems

Lack of supplier parent/child relationships among suppliers Lack of supplier specific business and risk data

Standard view of all suppliers for goods and services Leverage total purchases to drive cost savings and

rationalize suppliers Monitor progress towards meeting Diversity Supplier

initiatives Identify suppliers who may be a risk to the supply chain

due to financial instability

Result: Organizations can increase leverage opportunities by normalizing business entities and improve decision-making with enriched content


Definition• Supplier standardization validates suppliers and removes duplicates. It creates linkages between supplier corporate

parents and their children

• Supplier enrichment enhances supplier data with information about a supplier’s diversity status (e.g. Minority-owned, Women-owned, Veteran-owned), or credit/financial risk, etc.

Result: Organizations are unable to analyze their spend by supplier, and cannot leverage total spend


The SAP Global Business Compendium

Location (Address, ZIP, Country etc)

Linkage (Parent Company etc)

Line-of-Business (Standard Industrial Classification Code incl. function)

Diversity (women owned, SDB, minorities etc)

Sanctions (OFAC)

Business Info (employees, sales, TIN, non-US Tax number etc)

Financial & Risk Indicators (Filings, suits, liens, bankruptcy etc)

Cortera Risk (via Endorsed Business Solution: risk segment, payment score, trend etc)

Contact Info (CEO, Officers, Phone numbers, email addresses etc)

Additional Location Information (Mail, Fax etc)


Validation and EnrichmentImproves leverage and decision-making

Supplier Validated Legal Ownership Industry Spend

GrafixParc Industrial, St. Marie QC

GraphCorr LLC (Grafix)433 2nd Ave, Sainte-Marie QC G6E 3C6 CA

RockTenn Company Packaging $75,000

SmurfitPO Box 93095, Chicago, 60673

Smurfit-Stone Container Corp150 N Michigan Ave, Chicago, IL 60673 US


Stone Container150 N Michigan, IL 60673

Smurfit-Stone Container Corp150 N Michigan Ave, Chicago, IL 60673 US


Verizon295 Maple Ave, Basking Ridge NJ

Verizon Business1 Verizon Way, Basking Ridge NJ 07920 US

Verizon Communications Telecom $250,000

Verizon WRLS#12RKNJ 7920 USA

Cellco Partnership (Verizon Wireless)1 Verizon Way, Basking Ridge NJ 07920 US

Verizon Communications Telecom $50,000

Traditional SAP

Accelerate Savings

RockTenn $425,000

Verizon Comm.

$300,000

Employees: 10,400

Sales (mil): $3,000

Risk, etc.

Employees: 194,400

Sales (mil): $106,565

Risk, etc.

Grafix $75,000

Verizon WRLS

$50,000

Smurfit $150,000

Stone Con-tainer

$200,000

Verizon $250,000


What Is Spend Data Classification?

• Procurement, Supply Chain and Financial transaction systems may not have a standard classification structure across the enterprise for assigning goods and services to a category

• Users may incorrectly classify data at the point of entry in the transaction system

• Standard Standard view of all goods and services purchased across the enterprise

• Leverage total spend to drive cost savings, monitor compliance, and rationalize suppliers


Definition• Spend Data Classification is the process of assigning procurement spend purchases to a standard structure such as

UNSPSC, the SAP taxonomy, or a custom structure

Result: Since purchases are not classified to a single, standard enterprise-wide structure, procurement organizations cannot analyze their total category spend across the enterprise

Result: Organizations can now increase visibility to both direct and indirect spend with a consistent category scheme.


The SAP Transaction Knowledge BaseIndustry Wide Coverage

20,000+ lines of businesses

20+ years of history

50+ industries

$350+ billion in spend

20+ key variables


Methods of Spend Classification

Item Description ‘Cataloging’

Not all items have valid descriptions Assumes repetitive similarity in description Forces micro vs. strategic focus

Accounting

Limited depth Frequently misapplied due to budgets Indicates why not what was purchased

Industry ‘Vendor Coding’(SIC, NAICS, UNSPSC)

Not organized for sourcing – resource based Too generalized for in-depth sourcing Assumes a supplier sells one thing

SAP Method

Focuses on what was purchased by analyzing multiple variables on the transaction

Improves leverage with a more complete and accurate understanding of spend

Supports strategic sourcing


AccountApproach

ItemApproach

SupplierApproach

Advertising130000

Freight38000

Unknown $475,000

Unknown $415,000

Office Sup. 72000 Utilities $285,000

Cell Phones $72,000

Displays $513,000

Packaging643000

Telecom357000

Spend ClassificationImproves accuracy and understanding

Supplier Industry Item Account Business Unit Spend

Grafix Packaging Not assigned Promotions Graphics $130,000

RockTenn Packaging Displays Accounts payable trade Advertising $475,000

RockTenn Packaging Displays Freight-inbound Advertising $38,000

Verizon Telecom Not assigned Utilities Facilities $285,000

Verizon Telecom Blackberry Office supplies Sales $72,000

Traditional SAP

Accelerate Savings

Multi-variate

Approach

Displays $475,000

Telecom PTP $285,000

Graphic Design $130,000

Cell Phones $72,000

Freight $38,000


What Is Spend Data Revision?

• Automated processes cannot always guarantee the individual customer data situation is handled correctly

• Due to individual factors there still might be not classified data sets that need to be matched / analyzed

• Standard process for the data stewards support reliability efforts

• Easy to use user interfaces to enable the customer to act as the data steward

• System gets “smarter” each run by enhanced logic


Definition• Revision is the process of reviewing the enrichment, validation and classification processes from a data steward

perspective to add expertise to the process for continuous improvement

Result: Automated rules of all degrees of sophistication cannot handle specifics of individual customer cases and might not deliver the desired results. Customers need to be able to easily review the data and modify the results of the processed rules

Result: Organizations can now increase the value of the automation by complementing the rules engine with unique customer data knowledge.


How does Revision help? Process support vs. Excel spreadsheets

During the revision phase, classifications can be changed or refined as needed

The revision tool itself can be used to review and apply changes on-the-spot

Out of box reports are also available to facilitate review

Example1. During classification review, the data

steward notices that some transactions having account “freight provision” should be in the freight category

2. Using the revision tool, the data steward filters on “freight provision” and selects the transactions to reclassify

3. Updated results are applied for continuous improvement

x

x

x

2

1

3


What’s in it for You?

Lay the foundation for full spend visibility in the SAP

BusinesObjects Spend Performance Management

application by optimizing the collection and verification of

data

Improve leverage and decision making with a

normalized and enriched supply base

Drive continuous improvement by adding business expertise

to enrichment and classification processes

Understand purchasing activity with transactions that are classified to a consistent

standard for goods and services


SPEND PERFORMANCE MANAGEMENT

Spend Analytics



Solution Summary: SAP BusinessObjects Spend Performance Management

GL

P-Cards T&E

BI

ERP

Data Enrichment & Classification

* Note: The Data Enrichment & Classification is a separately priced solution.

Gain full spend visibility Automated data capture from SAP and non-SAP Data accuracy for faster insights

Increase spend under management Set up performance targets Collaborate effectively to act on insights

Rapidly identify savings opportunities Find and act on savings potential Pro-actively monitor contract compliance

Reduce supplier risk Pin-point supplier risks and supply concentration Find and act on qualified alternate suppliers

Maximize Savings – Minimize Supplier Risk


Integrated Data Management enables Accurate Spend Visibility

Automated data capture from SAP and non-SAP enables Continuous Spend Analysis for Incremental Savings Insights

Data accuracy for faster insights– Supplier Normalization & Enrichment*– Spend Classification*

SAP Integration Connectors to pull Spend, Financial, Operational

Procurement and Master data from SAP data sources

Best-In-Class ETL Included best-in-class ETL tool simplifies connectivity

to non-SAP structured and unstructured data sources

Leading EIM technologies Includes best-in-class methodology and technology for

accurate, reliable data quality, supports data validation, normalization and enrichment having processed over 1.5 trillion records

External Data Feeds Includes support for external data feeds providing

immediate market insights.* Provided as optional subscription service

The Solution Why SAP


Out Of The Box Analytics enables Actionable Insights

Automated Comprehensive spend and supply base data model

Provides insights into savings and supplier risk

Powerful ad-hoc analytics for the power user

Enables collaboration and decision capture

Comprehensive Analysis: Spend, Supply Base, Contract, Supplier Risk and

Procurement KPIs, including tracking to key KPIs, budgets and financial performance metrics

Surface Savings and Supplier Risk Insights: Quantify impact with detailed drill down analysis to

effect confident decisions, instead of time consuming data mining

Integration with SAP Sourcing: Launch sourcing RFx, Auction or Project from insights

directly, via out of the box integration

Dynamic Briefing Book: Supports snapshots in time, with refresh and offline

capabilities to support stakeholder collaboration and decision capture



Actionable Metrics on Critical Success Factors Improves Spend Performance

Align procurement strategy to execution

Gain full visibility into procurement “actuals”

Better manage key procurement performance indicators

Identify root causes of sub-standard performance

Performance Management: Evolve from Reporting and Analysis to Performance

Management, incorporate ‘Management by Exception’ to focus valuable Procurement resources to top initiatives

Configure KPIs: Set KPIs to meet your competitive advantage goals, and

align procurement goals with corporate strategy and vision

Know The Contributors to Lagging KPIs: Track key KPIs with full knowledge of key contributors to variance,

and root cause for sub-standard performance for immediate decision and action



Insights Into Savings Potential Helps Prioritize Sourcing Strategies

Identify savings potential

Analyze Quantity, Price And Supplier details

Determine strategic sourcing opportunity

Launch sourcing action from insights

Spend Advisor: Be alerted to savings potential, instead of time and effort

mining for savings opportunities

From Insights to Detailed Analysis: Supports Power Users need to perform deep dive and

ad-hoc analysis on the savings insights, including analyzing supplier risk profiles, supply concentration and sole sourced supplier risks

From Insight to Action: Take immediate action on insights by transferring line

item data into SAP Sourcing for continued next steps in the strategic sourcing process



Result: Predictable Spend Performance And Confident Sourcing Decisions

Multiple systems capturing silo’ed supplier information

No data integration, random supply base reviews

One solution Monitor entire supply base Act quickly on impact driven priorities

Supplier Performance

Supplier Ratings

Spend Analysis

Supplier Portal

Supplier Evaluation / Audits

Information Aggregation

Today:

Distributed Information SourcesSustainable Solution:

Integrated, Insight Driven, Actionable


Spend And Supplier Risk Analytics enables a stable Supply Base

Know your at risk suppliers

Identify supplier concentration and sole sourced risk factors

Assess impact to your spend

Find and act on qualified alternate supplier sources

Internal Supplier Data: Incorporate internal supplier performance indicators to

analyze risk trends for early risk detection

External And Market Data: Combine external and market data on suppliers to

ensure supplier viability

Assess Impact of Supplier Failure: Quantify impact on your business, spend volume and

locations to help prioritize and establish alternate suppliers


2. AppraiseImpact Analysis

1. IdentifyRoot Cause Analysis

3. ActDevise Mitigation Strategy


Critical Supplier Information Enables Proactive Insights Into Impact Of Supplier Risk

Spend volume with suppliers at risk Analyze category and item exposure to risk Quantify spend volume and buying locations at risk


Critical Supplier Information Enables Proactive Insights Into Impact Of Supplier Risk

Jump directly from SPM to Cortera website for up to date Supplier report


Cortera Risk Data in DEC

Appended during DEC processing

Attributes available within SPM for dashboards and supplier views include

Risk SegmentPayment Score RiskPayment Rating TrendReported Payment RelationshipsPercent Past DueDays Beyond Terms (DBT)Industry DBT BenchmarkRisk FlagsBankruptcy CountOperations News CountLiens Count

Pull detailed Cortera Supplier Report on demand


Quick Demo

Spend Performance Management Look & Feel Ad-Hoc Reporting Classified & Enriched vs. Raw Data Pre-defined Intelligence


CUSTOMER BEST PRACTICES

Procurement Analytics



Global Personal Products CompanyChallenges

Custom BW Reporting application developed in 2004 Based on Accounts Payable information only Rule based logic for spend classification

Implemented SRM/EBP solution for indirect procurement between 2007 and 2010

Classification of Indirect Spend has being a challenge Users not always classify spend properly (EBP) Rule engine data maintenance is resource consuming (BW)

IT spending to many resources maintaining and enhancing existing application

Procurement dependency on a few “Power Users” to generate information for the organization

Areas of Opportunity

Increase utilization Easy of Use Self Service Capabilities Better classification of spend

Provide context information Commodity prices Contract and Purchase Order data T & E

Better analytical capabilities From Corporate summary to document level information Tool to empower users to find and report on the data they

need


Global Personal Products CompanyResults

Best Practices

Data is the key component Have a good understanding of the complexity of your

Transactional & Master Data Data validation is key and it can take a lot of effort and time Define Spend Hierarchies that facilitate sourcing initiatives

Involve your basis/technical group early in the implementation Make sure that the Java stack is properly configured/tuned for

the expected workload in production. Ensure a process is in place to deploy Adobe Flash.

Define an appropriate data refresh frequency

Key Learnings

SPM solution well designed to address spend analytics business needs

User adoption requires good data quality and modern/intuitive user interface Spend is classified properly Vendors are classified properly per the role they have

To keep up with external innovation you need to pick a solution from a vendor that reinvest in enhancing existing tools


Global Consumer Packaged Goods CompanyChallenges – competing on Analytics


Global Consumer Packaged Goods CompanyResults

Business Case A Global Business Intelligence (BI) solution that will provide

end-to-end procurement Spend Analytics that supports our Global RFx and Category Management strategy.

Improved visibility to item level detail segmented by commodity from each region leading to greater procurement savings.

An enabler to achieve our already committed world-class savings targets. We concluded that it would be mandatory to have tools such as Spend Analytics to support this already committed savings goal. Incrementally, we assumed a conservative 0.1% savings on total direct spend.

Further savings from cycle time reduction

– Additional sourcing events can be held each year

– More time available for strategy and supplier bid analysis

Leverage Opportunities


SAP BusinessObjects BI Platform - Universe IntegrationAdvanced Graphical Analyses and iPad Integration

SAP BusinessObjects Spend Performance

Management

Flex UI

SAP NetWeaver BW

SAP BusinessObjects

Analysis

SAP BusinessObjects Web Intelligence

SAP BusinessObjects

BI Platform

SAP BusinessObjects

Explorer

iPad Client (SAP BusinessObjects

Explorer )

SDN Article on SPM/BO Universe Integration

SDN Blog on SPM Mobile Scenarios

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/f08d20ab-dd09-2e10-f29f-d66bb6d13ad7

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/f08d20ab-dd09-2e10-f29f-d66bb6d13ad7

http://www.sdn.sap.com/irj/scn/weblogs?blog=/pub/wlg/20356



Spend Analysis on iPad, Explorer View


Recommendation: Visit these sessions !!!

Case study: How Kimberly-Clark implemented a global spend analytics platform and gained control of spend data in less than 20 weeks

Case study: An inside look at the result of Health Net's extensive two-year procurement transformation


WHAT’S NEXT

Procurement Analytics


Key Learning - Transforming the Way Business Users Gain Insights

Actionable insights like never before Modern, compelling, and seamless user experience Context-relevant and actionable In-depth and complete

Best-practice Analytics content Preconfigured reports and dashboards Out-of-the-box end-to-end best practices

Deep and unique integration Leverage investments in the SAP Business Suite Leverage latest technology innovations and established best

practices Enable easy extension and customization


Return on Investment

SAP is the leader in Enterprise Software since nearly 40 years Your company has probably invested in SAP Systems You are running Procurement on SAP solutions or are planning to do so You require the newest Analytics solutions to help the Procurement Function

achieve enterprise goals SAP has already done the job: Analytics for Procurement Leverage your investments and better run your company


Resources

SAP Analytics Online

Register for Virtual Event: http://virtualevents.sap.com/business-analytics

Visit our web page: http://www.sap.com/solutions/sapbusinessobjects/large/industries/procurement/index.epx to discover the latest Analytic Applications innovations from SAP

Visit SAP Analytics Blog: http://blogs.sap.com/analytics to share your views on daily blog posts

Become a Fan on Facebook: www.facebook.com/SAPanalytics/

Follow on Twitter: www.twitter.com/businessobjects

SAP Community Network (SDN)

SAP Analytics page: www.sdn.sap.com/irj/boc

Best practices: www.sdn.sap.com/irj/boc/bi-best-practices

Architecture: www.sdn.sap.com/irj/boc/bi-solution-architecture

http://virtualevents.sap.com/business-analytics

http://www.sap.com/business-analytics/resource-center

http://www.sap.com/solutions/sapbusinessobjects/large/industries/procurement/index.epx

http://blogs.sap.com/analytics

http://www.facebook.com/SAPanalytics/

http://www.twitter.com/businessobjects

http://www.sdn.sap.com/irj/boc

http://www.sdn.sap.com/irj/boc/bi-best-practices

http://www.sdn.sap.com/irj/boc/bi-solution-architecture


SAP Operational Performance Management Elite TrainingApr 16 – 20 in Prague, Czech Republic

BE THE FIRST TO HAVE LIVE SPM 3.0, SCPM 2.0 and DEC 1.0 EXPERIENCE

This Elite enablement workshop will cover a large variety of topics including: New Features for What-If-Analyses and Advanced Analytics in SAP BusinessObjects Spend Performance

Management 3.0 (SPM) First time ever experience and deep dive into SAP BusinessObjects Data Enrichment and Classification OnDemand

(DEC) Understand SPM and DEC integration options as well as a vertical integration scenario New Features for What-If-Analyses and Risk Management Integration in SAP BusinessObjects Supply Chain

Performance Managemement 2.0 Deep dive technical sessions and performance tuning for all three solutions (UI and Backend) Performance Tuning (BW 7.3, OPM solutions, Java and ABAP extensions) OPM and SAP HANA session

REGISTERhttp://twitter.com/#!/search?q=%23OPMElite


https://www.sap.com/campaign/2012_04_EVENT_OPM_TRAINING_Apr16_20/index.epx?kNtBzmUK9zU




http://www.sdn.sap.com/irj/scn


http://twitter.com/

Thank You!

Contact information:

Henner SchliebsAnalytics Solution [email protected]

Nikhil ReddyProcurement [email protected]


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