sap innovation awards 2021 entry pitch deck...and we used the sap legacy system migration workbench...

PUBLIC

Döhler GmbH

Trusted, Scalable Master Data Quality Management in the Natural Foods Industry

SAP Innovation Awards 2021 Entry Pitch Deck

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Company Information

Headquarters

Industry

Web site

Darmstadt, Germany

Consumer products

www.doehler.com

Döhler GmbH produces and markets technology-driven natural ingredients, ingredient systems, and integrated

solutions for the food and beverage industry under the motto “We bring ideas to life.” We have 45 production sites,

24 application centers, and more than 50 sales offices across Europe and subsidiaries in North and South America,

Africa, the Middle East, and Asia. And we reach across the globe with healthful ingredients for soft drinks, juices,

wine and spirits, spreads, sauces, and dairy and baked goods. Sustainability has always been at the core of our

vision, and today we are actively helping to drive the trend toward plant-based foods.

We manage more than 1 million products and 1.6 million data records (including those for recipes) in our extended

enterprise, and we depend on our business intelligence and ERP systems to interpret that Big Data, identify

significant business issues and opportunities, and provide insights to help us address them. In a highly competitive

business with traditionally low profit margins, we must be able to deliver the right information at the right time to the

right decision-makers. We must foster a culture of responsibility for accurate data entry, provide a mechanism for

rigorous monitoring of data quality, and ensure feedback for continuous improvement. We recently implemented the

data quality management capabilities within the SAP® Master Data Governance application to help us draw

maximum value from our exploding data volumes with a project we called “One Data Management.”

http://www.doehler.com/


Challenge

Solution

Outcome

We realized improving data

management meant

helping local data entry

people do it right the first

time. They needed to

assume accountability for

their input and understand

how data moves through

the organization. Our

project team empowered

our people while improving

our use of technologies

with the excellent master

data quality and data

management solutions

from SAP.

Mirjam Heijnen, Head of BI –

Data Governance and Data

Quality, Döhler GmbH

Döhler GmbH

The project team assigned responsibilities for data governance and developed templates and business rules for

data transformation. Guided data entry processes help ensure local variables are identified for enrichment or

change as appropriate, and proactive monitoring through operational dashboards implements data controlling.

Thoughtful use of SAP Master Data Governance and the SAP Analytics Cloud solution brings to our whole

enterprise a scalable data management system that continuously checks our crucial master data for quality.

Automated evaluation jobs deliver a score for each business rule and a list of data entries needing attention.

90%

Our legacy database could no longer manage Big Data and deliver real-time analytics. We needed to move to

SAP S/4HANA® to support an end-to-end process for data quality, building in steps for data governance, data

transformation, guided data entry, and data controlling, including process visualization and data quality.

New data available

for use in less than

half the time2xData quality

attributes managed

automatically

each day>1,000

Optimizing Data Management to Deliver Innovative Business Outcomes

Reduction in

master data

creation time


Business Challenges and Objectives

When our legacy systems could no longer deliver trusted, usable data quickly enough, we needed to migrate

to a modern in-memory ERP system supporting complete processes across lines of business. We chose

SAP S/4HANA and took the opportunity to fine-tune master data quality management at the same time.

Especially challenging were the heavy volumes of data Döhler collects, typical of a firm in the consumer

products industry. We had to define a way to identify and transfer relevant data records by mapping source

fields to target fields. And we had to develop a means of ongoing transfer of legacy data to the new system,

including import from spreadsheets and sequential files developed by business users on their personal

computers. We used SAP Integration Suite for process integration.

We identified and transferred relevant existing data through SAP S/4HANA migration cockpit. Each migration

object in our cockpit describes how to migrate data for a specific business object. It also contains information

about the source and target structures and their relationships to one another, along with mapping information

for the relevant fields and any rules used to convert, automatically upgrade, and extend the migrated values.

And we used the SAP Legacy System Migration Workbench tool to support both one-time and periodic data

transfer from spreadsheets and sequential files. Finally, we instituted continuous checks for data quality

through SAP Master Data Governance, and we used SAP Analytics Cloud for visualization.


Project or Use Case Details

The steps in the new fully digitalized materials lifecycle are as follows. See slide 12 for a related graphic.

1. The creation of a new Döhler material record, containing material master data and environmental, health,

and safety data in a one-to-one relationship, is triggered when the sales department sources either a new

raw material or a new product. A template helps business users complete this step on their own.

2. Once the raw material or the product is picked up in a Döhler recipe, we apply rigorous business rules to

calculate new output data and recipe costs for quotation purposes. Then, a human input step adds

sensory and analytical information to the master data.

3. When an offer is made to the customer, the future sales product is automatically created according to our

templates and business rules.

4. When our customer asks to buy our product, all data already created in the material lifecycle process is

automatically transferred to the material master. Only customer-specific data needs to be added to the

Döhler material record.

5. While the material is active, meaning in use, templates and business rules continue to guide updates to

master data. Our solution orchestrates automatic change management and data quality monitoring.

6. And as the material begins to phase out of use, a low-usage threshold triggers automatic procedures to

monitor slow movement and eventually mark the material inactive.


Business or Social IT Human Empowerment

Benefits and Outcomes

Agility and predictability

significantly improve time-to-

market of new products and

boost competitive edge.

The efficient, effective view of

data quality with automated

monitoring drives trusted

business outcomes.

Comprehensive product data

creation in production processes

shortens throughput time from

five days to two.

We’ve improved data quality for

the company’s core process of

material and business partner

master data.

Employee satisfaction levels

have risen with exponentially

greater data literacy.

Automation of the material

master creation process frees

employees from data

maintenance chores to

concentrate on more valuable

and fulfilling work.

Immediate access to source

system data and continuous

data quality monitoring support

faster, more confident, and more

sophisticated decision-making

for all stakeholders.

Processing time for master data

creation through data migration

is reduced by 90%.

We developed a dashboard that

monitors the data quality of

Döhler’s core data processes for

the chief data office.

We instituted and automated

continuous cross-functional

measuring, monitoring, and

analysis of data quality.


Architecture

Architecture of

the Executive

Dashboard

SAP® Analytics Cloud

SAP Master Data Governance applicationData quality management, governance, and consolidation

SAP S/4HANA®External and local

business warehouses

Third-party

solutions

Business rules

Business rules

C-suite dashboard

SAP Sales

Cloud

solution

SAP Integration Suite


SAP technologies used:

Date Number of users

Deployment status

Deployment

If you have used one or more of the services or support offerings from SAP Services and Support during the implementation or

deployment phase, please indicate which one(s) below with an

SAP MaxAttention™

SAP Value Assurance

SAP ActiveAttention™

SAP Model Company

SAP Advanced Deployment

Others:

X

SAP Innovation Services SAP Innovative Business Solutions

Fully deployed October 2020 100

Live

SAP product Deployment status Contribution to project

1 SAP S/4HANA Live Supports comprehensive processes across lines of business

2 SAP Master Data Governance Live Manages comprehensive data quality by automating continuous quality checks

3 SAP Integration Suite Live Aids process integration

4 SAP Sales Cloud solution LiveHelps manage the interface between SAP Master Data Governance and business

partner master data

X Customer Success organization


The following advanced technologies were part of the project.

Advanced Technologies (1 of 2)

Technology or use case Product used Contribution to project and how product used integrates with SAP products

1 Machine Learning SAP Master Data

Governance

Our master data quality management system uses machine language in rule mining,

cash application, and batch picking.

2 Intelligent data managementMulti-cloud, data virtualization and governance, smart

data tiering, persistent memory, data privacy

SAP Integration Suite We implemented API management among applications and deployed

SAP Business Technology Platform to enable scalable, lean IT architecture.

3 Advanced and augmented

analytics• Real-time and streaming analytics, spatial analytics

• Natural language query and generation

• AutoML to identify trends, patterns, outliers

• Predictive analytics (time series analysis and

forecasting, regression, classification)

4 Data and analytics solutions in

the cloud• Unified data and analytics cloud platforms by SAP

• Modern/self-service data to analytics

SAP Analytics Cloud We delivered the executive dashboards in co-innovation with the Customer Success

organization and SAP’s product management team.


The following advanced technologies were part of the project.

Advanced Technologies (2 of 2)

Technology or use case Product used* Contribution to project and how product used integrates with SAP products

5 Advanced cloud integration• API economy (monetization and API marketplaces)

• AI-based or crowdsourced integration

• High throughput, low-latency digital integration hub

SAP Master Data

Integration

We plan to implement a “One Domain Model” using the SAP Master Data Integration

service in combination with SAP Master Data Governance. We are in the proof-of-

concept stage with this project.

6 Industry cloud platform

7 Blockchain …

8 Internet of Things …

9 3D printing …

*If this is not an SAP product, explain how it integrates with SAP products.


Additional Information

Plans at Döhler for the coming year include:

▪ Reducing throughput time for data maintenance with further digitalization of our

material lifecycle

▪ Using SAP Master Data Integration as the center and single point of truth for master

data sharing to SAP on-premise and cloud solutions

▪ Implementing additional features of SAP Master Data Governance

▪ Using artificial intelligence to enhance the user experience with real-time, context-

sensitive data insights



This graphic illustrates the

new fully digitalized material

lifecycle at Döhler.

Material request

Start of material workflow to

upgrade master data for

supply chain by template and

business rules

Phaseout

Improvement of portfolio and

continuous monitoring of

usage and nonmover

Data

maintenance

Creation of additional

sensory and analytical

master data

Creation of material

for quotation

Automatic data creation for

new sales material by

template

Release of general recipe

Automatic data calculation of output data for new

product by business rules

Automatic creation of cost calculation recipe for

quotation

Material active or in use

Data change management and

monitoring of data quality

Material inactive

Creation of new raw material

sample or development

Automatic data creation for basis master data

by template

Material

lifecycle

3

4

5

1

2

6



This graphic illustrates the digital and physical touchpoints for data quality management at Döhler.

Digital touch points

Physical touch points

Clear and mandatory

definitions

Assignment of responsibilities

and data ownership

Definition of guidelines

and business rules

Migration templates

with business rulesAutomatic data creation

by template

Manual

workflow

tasks

Interactive data

maintenance

Automatic

data corrections

Data migration

Automatic data creation

by business rules

Data change

management

System implementation

of business rules

Operational dashboards

Proactive monitoring

Data governance Data transformation Guided data entry Data controlling

Validate data

records

against

business

rules

Enrich data

and cleanse

master data

by business

rules and

templates

Prepare data;

find duplicates

and obsolete

data set

Define criteria

for data

migration and

extract from

source

Cleansing and enrichment



This graphic illustrates how Döhler’s C-suite dashboard displays running data processes and our

data quality KPIs. Over 100 users consult the dashboard daily.

sap innovation awards 2021 entry pitch deck...and we used the sap legacy system migration workbench...

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