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PUBLIC Speaker’s Name, SAP Month 00, 2022 Data Quality Management, microservices for location data

SAP Data Quality Management Solution Overview

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PUBLIC

Speaker’s Name, SAP

Month 00, 2022

Data Quality Management, microservicesfor location data

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Comprehensive, Integrated Capabilities

Desire for data integration technologies that are pre-integrated with data

quality, master data management and data stewardship

Poor data quality undermines digital initiatives and contributes

to wrong decision making, weakened competitive standing

and customer distrust

Business user involvement determines the success of

data quality programs in the long term

Trust is Critical Business Involvement

Business needs unified and trusted data across their landscape

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Business Technology Platform

Extend and innovate Connect and simplify Give data purpose Infuse intelligence

Create personalized experiences

that instantly work with SAP applications

Run with confidence on a trusted,

enterprise-grade platform

Build faster with business context

to meet change with agility

SAP BTP is the

foundation

App Dev Integration Data and Analytics AI

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C4C SFSF

HANA

Cloud

MDG

Cloud ApplicationsSAP Data Quality

Management, microservices

Address Cleansing

Geolocation

Other Services…

Business

SuiteS/4H HANA

Data

Services

Data

Intelligence

On-Premise

Applications

Customer / Partner

Applications

What is SAP Data Quality Management, microservices?

Address Cleansing/Validation

w/Type-Ahead, Geocoding, & Reverse

Geocoding REST Services powered by

SAP Business Technology Platform1

Global Solution supporting Address

cleansing in 240+ countries as well

as high-quality geo capabilities in

many countries 2

Easy to Integrate REST services with

partner/customer applications, includes

integration w/ many SAP applications3

Industry Leading Solution based on 30+ years of SAP Data

Quality Management technology4Zero cost of ownership solution

with simple, straightforward pricing

based on usage5Application Service

DI

Cloud

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Benefits of Address Cleansing and Geolocation Services

Accurate Location Analytics

▪ Correct, consistent and standardized location

information will help ensure accurate location

analytics to make better business decisions.

https://www.ups.com/media/en/additional_charges_daily.pdf

Increased customer satisfaction

▪ Help ensure timely delivery of packages and

communications

▪ Provide relevant communication based on

location intelligence

Reduced Unnecessary Costs

▪ Reduce undeliverable package fees, returned

mail and possible government compliance fees

for incorrect employee address information.

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Simple example

Address1 City Region Postal Country

121 Trellis Ln escondid California <Blank> USA

121 Trellis Lane Escondido <Blank> 92026 USA

121 trelis Ln. Escondido CA 92026 USA

Delivery address City State ZIP ZIP4 Longitude Latitude

121 Trellis Ln Escondido CA 92026 2078 -117.09002 33.14502399

121 Trellis Ln Escondido CA 92026 2078 -117.09002 33.14502399

121 Trellis Ln Escondido CA 92026 2078 -117.09002 33.14502399

SAP Data Quality

Management, microservices

Address Cleansing

Reverse/Geocoding

Other Services…

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Why address cleansing and validation?Does this look like a valid address?

6 St. Andrews Court

Thame OX9 3GG

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What if we can …Identify, add missing elements, correct and normalize address data?

6 St. Andrews Court

Wellington St.

GB

Thame OX9 3GGOX9 3WT

6 St. Andrews CourtBuilding Name

Street Name

PostcodeCity Name

Country

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Advanced feature: Address Type-Ahead with autocorrect

Address Type- Ahead is displaying search results as data is entered into the address fields.

Keyed Input (Real-Time)

1 ab…

Target Address

1 Abbey Park

Armagh UK BT61 8BA

Key Benefits

• Faster data entry by prompting users with address

suggestions earlier than with traditional address

cleaning alone.

• Extended global address cleansing and geocoding

coverage when type-ahead is enabled.

• Check/save action to trigger a cleanse request not

required as the search is performed automatically

as data is entered.

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Basic feature: Geocoding

Geocoding is the process of finding associated geographic coordinates (latitude/longitude) from

other geographic data such as street addresses or postal codes

Output

43.81162, -91.24488

Input

800 Main St, La Crosse, WI, 54601

Cascade Geo assignments:

Find the best coordinate for an address, in the following sequence:

3. Postcode /

Locality

Centroid

2. Primary

Number

Interpolated

1. Primary

Number Exact

(Parcel)

101 Main St

191 Main St

381 Main St

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Basic feature: Reverse Geocoding

Reverse Geocoding is finding a street address from geographic coordinates

Output

800 Main St, La Crosse, WI, 54601, 0.0024 km

100 8th St N, La Crosse, WI, 54601, 0.0237 km

112 8th St N, La Crosse, WI, 54601, 0.0374 km

131 8th St S, La Crosse, WI, 54601, 0.0478 km

Input

43.81162, -91.24488

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SAP Data Quality Management, microservices

Two components

1. “Web Service” API – HTTPS/JSON

2. Web-based user interface (optional, does not apply to reverse geocoding)

Customer

Applications

SAP Data Quality

Management, microservices

Address Cleansing

Geolocation

Other Services…

Address Type-Ahead

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Global coverage for SAP Data Quality Management, microservicesNOTE: Certain country limitations apply

Updated May 2022

Address Cleanse Geocode

Latin Scripts Local Scripts Geocode and Reverse Geocode

• Australia

• Austria

• Belgium

• Brazil

• Canada

• Czechia

• Denmark

• Estonia

• Finland

• France

• Germany

• Hungary

• India

• Ireland

• Italy

• Latvia

• Liechtenstein

• Lithuania

• Luxembourg

• Mexico

• Netherlands

• New Zealand

• Norway

• Poland

• Portugal

• Singapore

• Slovakia

• Spain

• Sweden

• Switzerland

• Turkey

• United Kingdom

• United States

• Bulgaria

• China (including

Macao and Taiwan)

• Greece

• Hong Kong

• Japan

• Russian Federation

• South Korea

Geocoding for 240+ countries following a cascading

assignment sequence. (Parcel, Interpolated, Centroid)

All World

240+ Countries support

validation to the city, region,

postal code level under what

we call “All World” processing

DETAILS: Additional details on the level of support for each country can be found in the SAP Data Quality Management, microservices documentation here:

https://help.sap.com/viewer/d95546360fea44988eb614718ff7e959/Cloud/en-US

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Address cleansing maturity at SAP – Postal Certifications Proven and trusted solution (30+ years experience, Firstlogic/BusinessObjects technology)

SAP Data Quality Solutions have held major Postal Certifications since their inception

SAP is one of very few vendors that hold these 5 postal certifications

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Current Integration Scenarios Supported

SAP Data Services

SAP Cloud for Customer

SAP Business Suite and S/4HANA (On-premises and Private Cloud)

SAP Data Intelligence

SAP HANA Cloud

SAP SuccessFactors Employee Central

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Clean and Accurate Data at Point of EntryProvides Extended Data Quality Capabilities

Extend SAP Data Services

Common Use Scenarios

▪ Simplify use of address cleansing/geocoding

▪ Hybrid use of on-premise and DQM, microservices to

maximize value

Data Quality Firewall

▪ Pre-built integrations with SAP Applications

▪ Customer integrations with non-SAP Applications

Data Quality

Management,

microservices

Data Quality

Management,

microservices

Data

Services

Data Warehouse

SAP

Non-SAP

Cleansing

Cleansing

Cloud

Cloud

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SAP Data Services

One Runtime Architecture & Services

Unified Metadata

ETL

Data Quality

Profiling

One consistent UI

Data Quality Management, microservicesIntegration with SAP Data Services

Data Services 4.2 SP08*

▪ Data Quality Management,

microservices transform

▪ Address cleansing, geocoding,

reverse geocoding

▪ Real-time and batch processing

▪ Hybrid model also supported:

Combining on-premises

processing of some countries,

and processing others through

the microservice

Model

Run Configure

Map

SAP Data Quality

Management,

microservices

1. (Optionally) Model configuration

for use with Data Services2. Model dataflow to process data

through DQM, microservices

3. Execute Data Services job

*Minimum version supported

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Data Quality Management, microservicesIntegration with SAP Data Services

Data Services Data Store Type

“SAP DQM microservices”

▪ Configure URL to DQM,

microservices for your specific

account

▪ Easily support productive/

non-productive use

▪ Configure other connection

information – authentication, proxy,

SSL, …

DQM, microservices

transformation

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Data Quality Management, microservices

SAP Cloud for Customer

▪ Prebuilt integration delivered within

the SAP Cloud for Customer

installation.

▪ Users are presented an action in

accounts quick create and detail

view allowing them to validate /

standardize / geocode addresses

▪ SAP Data Quality Management,

microservices required to be

licensed separately

Accounts

SAP Cloud for Customer

SAP Data Quality Management,

microservices

Customers

*Minimum version supported

Integration with SAP Cloud for Customer

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Data Quality Management, microservices

Validated Address returned to fields

Incomplete Address entered

Integration with SAP Cloud for Customer

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Data Quality Management, Integration with SAP ApplicationsEmbeddable natively into Business Suite applications

Data Quality Management, version for SAP (ABAP Add-on)

▪ Create a real-time Data Quality firewall to enable trusted data from entry to reporting

▪ Batch address enrichment of business partner data via the Quarterly Adjustment Reports

▪ ABAP Add-on included w/ Data Quality Management, microservices

Instant savings on business and IT costs by:

▪ Improving productivity through use of native UI and data entry validation

▪ Reducing redundant work and manual data cleansing downstream

SAP Data

Services

SAP HANA,

Smart Data

Quality

SAP Data Quality Management,

microservices

SAP Business Suite

Applications Supported

Master Data

Governance

SAP S/4

(on premise)SAP ERP

SAP CRM

Business Address Services (Badi)

ABAP Add-on

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Example address cleansing from SAP Business Suite integration Automatically completes and corrects entries, then presents to user for approval

Incomplete Address

entered

Compare Original and

Validated Addresses

Validated Address

returned to fields

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Example address cleansing from Business Suite integration Automatically completes and corrects entries, then presents to user for approval

Incomplete Address

entered

Primary Address

Suggestion (Street)

Compare Original and

Validated AddressesValidated Address

returned to fields

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Data Quality Management, microservicesIntegration with SAP Data Intelligence

▪ Data Quality Management,

microservices operators

▪ Address cleanse/geocode,

reverse geocode, Client operator

▪ Prebuilt sample graphs

▪ Easily supports productive/

non-productive use

▪ Support for operator side

configuration overrides

Model

Run Configure

Map

SAP Data Quality

Management,

microservices

1. (Optionally) Model microservices

configuration

for use with Data Intelligence

2. Model Pipeline to process data

through DQM, microservices

3. Execute Process

SAP Data

Intelligence

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Data Quality Management, microservicesIntegration with SAP HANA Smart Data Quality

▪ Simplify use of address cleansing and geocoding

▪ Address Cleansing

▫ Validate addresses per postal authority reference data

▫ Standardize the way the address looks and is structured

▫ Correct address components if incorrect

▫ Enhance addresses with missing attributes

▫ Assign diagnostic codes which describe why the

address is incorrect or what is correct

▪ Geocoding

▫ Append latitude and longitude for a given address

Data Quality Management,

microservices for location data

SAP HANA

Web IDE

SAP HANA Cloud

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SAP HANA WebIDE(XSA)

Data Quality Management, microservicesIntegration with SAP HANA Smart Data Quality

SAP HANA Cloud

▪ DQMm Cleanse node

▪ Address cleansing and

geocoding

▪ DQMm cleanse node identifies,

parses, validates, and formats

addresses for address cleansing

and geocoding

▪ Access DQMm through remote

source configuration

Model

Run Configure

Map

SAP Data Quality

Management,

microservices

1. (Optionally) Model configuration

for use with SAP HANA Cloud

2. Model Flowgraph to process

data through DQM,

microservices

3. Build Flowgraph

4. Execute Flowgraph

HANA Cloud

OLAP + OLTP

Relational

Data Lake

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Data Quality Management, microservicesIntegration with SAP HANA Smart Data Quality

Remote Source with Adapter

“DQMm”

▪ Configure Remote Source to DQM,

microservices for your specific

account

▪ Easily support productive/

non-productive use

▪ Configure other connection

information – Host, Authentication

type

▪ Remote source can be configured

using SQL Console

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Data Quality Management, microservicesIntegration with SuccessFactors Employee Central

▪ Validation of Employee and Dependent

addresses

▪ Delivered Local versions (as of 1H 2021)

– Belgium

– Brazil

– Germany

– Netherlands

– United States

▪ Support for custom Country/Region-Specific

Configurations.Model

Run Configure

Map

SAP Data Quality

Management,

microservices

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SAP positioned as a LeaderGartner® Magic Quadrant™ for Data Quality Solutions

* This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SAP. Gartner does not endorse any vendor, product or service depicted in its

research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner

disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are

used herein with permission. All rights reserved.

FIGURE 1. Magic Quadrant for Data Quality Tools

SAP was recognized as a Leader in Data Quality Solutions by

Gartner for its completeness of vision and ability to execute.

SAP believes its placement in the Leaders quadrant is a testament to:

Gartner Magic Quadrant for Data Quality Solutions, Melody Chien, Ankush Jain, 29 Sept

2021.

Comprehensive and integrated data management portfolio, including data integration, metadata cataloging, governance and orchestration

Business process and application integration, providing additional value to SAP customers through an integrated data management

A hybrid data management offering, offering flexibility of executing jobs on premise or in the cloud with sharing across SAP Information Steward, SAP Data Services and SAP Data Intelligence

READ A COMPLIMENTARY COPY

OF THE FULL REPORT

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Summary

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Why SAP Data Quality Management, microservices?Simple consumption of core data quality services

Pre-built

Integrations

Simple

Consumption

Consumption-based

Licensing

SAP Data Quality Management, microservices embeds

data cleansing and enrichment services within any business

process or application with a self-service, right-sized

consumption model

▪ Includes integrations with

many SAP Applications

▪ Simple to consume via cloud -

SAP Business Technology

Platform

▪ Global solution

▪ Trusted vendor with 30+ years

experience in address

cleansing and geocoding

▪ Zero cost of ownership

solution with simple,

straightforward pricing based

on usage

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Buy Now: SAP Store

OR

Contact your SAP

Account Executive

Get started with SAP Data Quality Management, microservices

Subscribe to

the SAP Technology

YouTube Channel

SAP Business technology

Platform (Free Tier)

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M A N A G E Y O U R I N F O R M A T I O N A S A S T R A T E G I C E N T E R P R I S E A S S E T

Contact information:

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Title

Address

Phone number

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