Application Data ManagementEmpower business teams to get the data right

Run by 2000+ SAP customers

Content

1. The beginning – Trends impacting business today2. Data Governance and Data Stewardship3. MDM versus ADM4. ADM Technology Capabilities5. Product demonstrations Winshuttle6. ADM Adoption in the Enterprise7. Winshuttle and Adsotech presentation8. Summary and conclusions9. Lunch and networking

Trends Impacting Business Today

• Digital transformation

• Big Data

• Real time Analytics

• Data as a Strategic Asset

DATAis becoming a strategic asset that needs to be managed by the business and not by IT

Decisions

Operations

Inaccurate or

incomplete

Data Growth

25%ERP System

Importance of Data Management

Tax over time

Data Mgt.

“TAX”

Delays/

Errors

Speed/

Accuracy

Indirect CostsDirect Costs

How is data dirty entering the ERP system?

0,00% 10,00% 20,00% 30,00% 40,00% 50,00% 60,00%

Dont Know

None

Other

Innacurate Data

Data entered into incorrect field

Typos

Duplicate Data

Outdated Information (not current)

Spelling Mistakes

Incomplete or missing data

Common data errors in customer/prospect/citizen data

What are the reasons to keep clean data?

0,00% 10,00% 20,00% 30,00% 40,00% 50,00% 60,00% 70,00%

We don't have a data quality strategy

None

Don't know

Other

To help the environment

Reduction of risk /fraud

To crate a single customer view

Compliance with industry /government legislation

To enable more informed decisions

To capitalise onmarket opputunities through customer profiling

Enhancement of customer /citizen satisfaction

Protection of organisation's reputation and brand

Increased efficiency

Cost Savings

Reasons for maintaining high quality records

Data Governance and Data Stewardship

1. Definition of Data Governance and Stewardship

2. The role of the Data Steward

3. Enforcement of Data Governance

4. The role of the CDO

5. Discussion

Data Governance and Data Stewardship

“Data Governance is the process

of implementing policies and

procedures that regulate the

creation, updating and deletion of

data assets throughout the

enterprise.”

“Data Stewardship is the

enforcement of the established

data governance policies.”

Data Governance and Data Stewardship

• (RDMS, ERP)

Structured Data

• (data marts)

Semi Structured Data

• (emails, social media web, etc)

Unstructured Data

Glossary of Terms - Common Business Terms ( Customer, Ship-to Address, Payment

Term)

Standards - Length, format, permissible values, Uniqueness, Name in Database

Rules - Calculation, Creation, Archiving, Validity, Usage in different applications

Data Governance and Data Stewardship

• Data preparation

• Data creation

• Data change

Maybe several Data Stewards in an organization, each

responsible for certain parts of the Application data as well as

Master Data

Maybe a full time responsibility or a part time responsibility

Typically based in business departments

Data Stewards do not draft policies, they execute them

If there is not a clearly defined ownership of data, it will

probably gradually result in degradation of data quality.

Data Governance Enforcement

Data Governance Enforcement can be implemented in a variety of ways:

• Manual enforcement by assigning people to roles such as Data Stewards

• Built it into ERP systems

• Reactive Governance

• Proactive Governance

By 2019, 90% of large organizations will have a Chief Data Officer.

Data Governance and Data Stewardship

Infrastructure and Applications

CIOCDO

Development of Data Governace and Stewardship processes

Data Governance and Data Stewardship

CDO

Digital transformation

Big Data Trends

Enterprise wide governance

Utilization of information

as an asset

Data Governance and Data Stewardship

Do you have

CDO?

Data Stewards?

Has the Data Governance been clearly defined?

How do you plan to tackle these topics?

MDM versus ADM

MDM versus ADM

Gartner and Wikipedia definitions

Trains and buses

Discussion about the differences and similarities

MDM according to Wikipedia

“In business, master data management (MDM) comprises the processes, governance, policies, standards and tools that consistently define and manage the critical data of an organization to provide a single point of reference.”

“Enterprise Master Data is the single source of common business data used across all systems, applications, and processes for an entire enterprise (all departments, divisions, companies, and countries).”

MDM according to Gartner“There is a great confusion in the market about what to store and govern in an MDM solution. Too

often we hear examples of successful MDM programs drowning in too much data as

more and more application data data is moved to the MDM “hub” since it seemed to provide an effective means to govern data.”

“The reality is that MDM solutions are designed and optimized to work flexibly with any number of applications for which the MDM data model is application neutral.”

“A solution designed and optimized to govern data for a specific, known business application would not be the same – indeed it’s data model would be identical to the target application.”

“Armed with this knowledge, we see a slow shift and recognition by users that MDM solutions should be used to govern master data outside of and independent of the application - business applications and application data management (ADM) solutions should be

used to govern data for known target business applications”

Managing things

Aquatic Animals Terrestrial AnimalsAmphibians

?

How to handle Master Data?

Master data Transactional dataApplication data

?MDM ERP

Supplier

Control/Governance Speed / Flexibility

Vendor Info Record

How to distinguish between MDM and ADM

Data Governance Standards & Policies

Master Data Management

Application Data Management

MDM is the Hub ERP is the Hub

Centralized Decentralized

Select master data All application data

Application neutral Application specific

IT-Driven Business-Driven

ADM

90% ERP Data

MDM10% ERP

Data

ADM is hub-less MDM

Source: Gartner

Co

ntr

ol

Spee

d /

Fle

xib

ility

MDM vs ADM

Both are business-led, IT-enabled discipline whereby an organizations seeks to govern and steward consistent:

- Andrew White, Gartner

MDM• master data across core business processes and systems. In this case, to

keep things simple, master data (is business metadata) are things like “customer” or “product” or “hierarchy” etc.

ADM• application data for use in a specific application or suite of

applications.Application data in this case concerns all the data stored and used by that application or suite.

MDM vs ADM data examples

Master DataShared across many different applications

Material numberDescriptionUnit of Measure

Material VendorCustomer

Application DataUsed only be a specific application

Storage binRoutingsClassificationsForecast parameters

Payment termsInfo recordsPurchasing organization

Customer numberDNS numberNameAddress

Bank detailsInfo recordsSales organization

Vendor numberDNS numberNameAddress

What is ADM - Conclusion

Application data management is a technology-enabled discipline designed to help users govern and steward the application (reference) data required to operate specific business applications, such as CRM, ERP or supply chain planning. Such data may include master data — even if there is a separate master data management (MDM) solution. It is implemented within the context of the specific application or suite, so typically it uses the same persistent data and data model. –Gartner 2016

ADM Technology Capabilities

Enterprise Information Management Tools

ETL (Extract Transfer and Load

DQ (Data Quality Tools)

Business Process Management Tools (workflows)

Low code development platforms (Excel based tools)

Analytics and Dashboards

Security and Governance

Trains and buses

PROS

• Carry more passengers• Advanced services (extra luggage, coffee kiosks)

CONS

• Big investment in infrastructure• Time-consuming• Requires a broad range of specialized skills• Can’t easily be modified or added to

Trains

PROS

• Affordable• Implemented immediately • Very flexible• Can serve all areas of a city• Easy to reroute

BusesCONS

• Fewer passengers

• Combo of trains & buses• Train line between major hubs • Reach outside of the main hubs

with network of buses

Long Term Strategy

ProcessOwnership

Centralized

Decentralized

ProcessMaturity

Ill-defined Well-defined

Balancing control, flexibility and speed in Data Management.

Fast and FlexibleSAP Data Management

MDM

Manual

”It is not about one tool being better than the other... We wanted autonomy for the business.”

Winshuttle Usage within ADM Areas

Data Management tools for SAP professionals

•Mass loads and mass changes to SAP application data

•Mass upload of transactional data

•Data Cleansing Processes

Simplifying the SAP End-User Experience

•Data Entry Simplification for End-Users

Business Process Innovation - Workflows

• Improve SAP and other business processes

• Overhaul old legacy MDM, SC, SD, FICO and HR transactional systems

Proactive

StrategicReactive

Excel based

Winshuttle

solution

Webforms based

Winshuttle

solution

Proactive

Excel based

process

automation

Winshuttle Overview

MDM HUB[SAP MDG]

OtherApplications

Data

Data

Decisions

Operations

ERP System

Time savings: 80 to 95%Quality Improvement

Process efficiency (50% shortened cycle)Governance

Developer Runner

Record

Map

Run

Benefits of Excel-SAP integration

T-Code T-Code Description Number of Customers Processing time saved by

automation

MM02 Change Material 751 86,5 %

MM01 Create Material 630 88,2 %

XD02 Customer Change 440 79,8 %

VK11 Create Condition Records 408 78,6 %

XK02 Vendor Change 392 86,7 %

XD01 Customer Create 341 93,6 %

XK01 Vendor Create 287 89,9 %

VK12 Change Condition Records 242 77,8 %

KS02 Change Cost Centre 178 74,6 %

KS01 Create Cost Centre 177 94,0 %

Workflow for data collection and approvals

New vendor request

Manager reviews

Upload to SAP

Accounting adds data

Example of customer who has reduced time for NPI

Food packaging - 11,000 employees - Revenue: $10 billion

Before

28 days for PCR

Now

14 days for PCR

Increasing Revenue

Master Data-related cost savings

ABB in Finland saved more than 6 months

during the first six months data cleansing

Stora Enso saved several months in the first factories

reorganization project

Outotec added all of an acquired company's

SAP employees data in 2 days

Statoil saved in 2016 over

110 000 hours by using Winshuttle products in various business units

(average saving 7300 h/ user per annum)

Master and Application Data related cost savings

Master Data-related cost savings

0

10 000

20 000

30 000

40 000

50 000

60 000

70 000

80 000

90 000

0

2 000 000

4 000 000

6 000 000

8 000 000

10 000 000

12 000 000

14 000 000

16 000 000

18 000 000

20 000 000

XD02 -

Customer

Change

VK11 - Create

Condition

Records

VD02 -

Customer

Change (Sales)

IE01 - Create

Equipment

IL02 - Change

Functional

Location

MM01 - Create

Material

MM02 - Change

Material

VK12 - Change

Condition

Records

MM42 - Change

Material &

ME12 - Change

Purchasing Info

Record

ME11 - Create

Purchasing Info

Record

Days saved vs Transactions processed

Transactions Processed H1 2016 Days Saved H1 2016

Master data management time consuming

Heavily relied on SAP business analysts

Linked scripts for MM01, MM02, CS01, CS02, & CA02

2 hours to 2 minutes

GBS Global Data Services productivity trends

0

20

40

60

80

100

120

140

160

2009 2010 2011 2012 2013 2014 2015

GBS Customer Data Maintenance

Transaction Volume Total Service Cost

Cost per Transaction

0

50

100

150

200

250

2009 2010 2011 2012 2013 2014 2015

GBS Material Data Maintenance

Transaction Volume Total Service Cost

Cost per Transaction

Customer Data

Maintenance 2009 -

2015

Transaction Volume 1 %

Total Service Cost -76 %

Cost per Transaction -79 %

Material Data

Maintenance 2009 -

2015

Transaction Volume 45 %

Total Service Cost -34 %

Cost per Transaction -58 %

Excel based Solutions

Excel based Workflows

Forms based Workflows

Demo

ADM Adoption in the Enterprise

ADM Adoption in the Enterprise

ADM Stages and Maturity

Key ADM activities and users

Customer Case

Transitional

Master Data Market

Master Data Maturity

Standardized processes and

platforms

No or few common

processes or

platforms

Organizational focus on master dataTactical Strategic

Mature

Tribal

Developmental

Reactive

Established

Optimized

Desktop

Workgroup

Enterprise

Organisational focus

Organisational

maturity

Tactical/Reactive Strategic/Proactive

ADM Vision – Key Capabilities & Benefits

Who What Benefit

Chief Data OfficerBuild data governance rules &

processes around ERP data

Improved confidence in data

and ability to participate in

digital business

Process ownersImprove data intensive

business processesImprove cycle time & velocity

Business analysts and solution

developers

Rapidly build data management

and data quality apps – batch

or real-time

Reduce dependence on

strained IT resources

Data stewardsKeep ERP data clean and up-

to-date

Uninterrupted business

operations

Business Users Enter ERP dataAdd real business knowledge

into the ERP

• New Product introduction 1500 material in a year

Customer Case:Consumer products Manufacturing Company

• 2000 secondary materials and material closing

• 200 people were involved in process

Indirect CostsDirect Costs

Data input:5 and a quarter hours (315 minutes) per new material.

Average time to process new material = 8 weeksAverage time for Material to get ready for Sales Planning = 4-5 weeks

MDM core team needed 3 days in month to report on status material creation

Dirty data: Significant but unmeasured negative impact to operations

Almost same number of materials needed to be closed annually.

Lots of unclosed material in the sytem as it took months to close material manually, some times a year.

Customer Case:Consumer products Manufacturing Company

Ownership Data Governance and Data Stewardship

Ownership

Project was initiated, approved and Governed by Supply Chain Organization.

Data related roles

Head of Product Master Data department is overall responsible of Data Governance.

Most of the Key users of solution are business side SAP experts who are Part time Data Stewards – they maintain business rules in solutions data their own area (Warehouse, APO, Purchase, etc. ) that allows automation and eliminates errors.

Key user also specified requirements and data model with Adsotech.

Project

IT run implementation project together with Adsotech.

Adsotech developed first solutions, now we are doing knowledge transformation on workflow development and co-operative development for additional material types.

Customer Case:Consumer products Manufacturing Company

Solution Overview

1. PLM –system creates core of SAP-master data

SAP MM

basic

Data

2. ADM-solution finds new material number and automaically starts workflow

3. Form is sent to all stakeholders to collect data controlled by workflow

4. Each paticipating team creates data using their own SAP accout.

DataSteward1

DataSteward2

DataSteward3

DataSteward4

5. As end result full SAP Material is created. Seperate notification is send when product is ready for Sales planning.

100 % SAP ERP Data

Customer Case:Consumer products Manufacturing Company

Results

Customer Case:Consumer products Manufacturing Company

0,00% 10,00% 20,00% 30,00% 40,00% 50,00% 60,00% 70,00%

We don't have a data quality strategy

None

Don't know

Other

To help the environment

Reduction of risk /fraud

To crate a single customer view

Compliance with industry /government legislation

To enable more informed decisions

To capitalise onmarket opputunities through customer profiling

Enhancement of customer /citizen satisfaction

Protection of organisation's reputation and brand

Increased efficiency

Cost Savings

Reasons for maintaining high quality records

Increase efficiency?Reduced workforce involved in process from 200 to 30, which meant 170 could be reassigned to other tasks.

Enhance customer satisfaction?Approx. 300 fields are updated, 85% of these are automatically filled based on form.

Enable more informed decisions?Instant reporting on status of material creation and bottlenecks

Cost/time savings?Reduced errors meant less time correcting errors.No mass mailings as notifications sent to correct teams at the correct time.Approval task for automated closing means materials are closed in one day.

Capitalise on market opportunities?”Ready for Sales” Planning time reduced from 4 weeks to 1 or 2 Weeks

Starting your Winshuttle journey

Installation

• Desktop software

• SAP functional module

Training

• 2-3 days onsite

• Exercises in your system

• Your use cases

Execution

• Launch first solutions

• Expand to new use cases

1 Week

Presented by:

1985

2000

2005

2016

today

Adsotech formed

SAP products

Winshuttle

80+ Winshuttle customers

FinlandSwedenDenmark Norway

6

4

Customers 1600 World wide

Thank you Visit winshuttle.com or Adsotech.com for more information.