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Winshuttle
Support for SAP Data
Migration Projects
Monika Pletschke
Solution Engineer, Winshuttle
28. November 2013

1

Copyright Winshuttle 2013
Social Sharing

Click the Twitter button throughout the presentation to easily
share stats and quotes with your social network.
Are You Prepared For The Data
Migration Challenge?
GoLive with NO business disruption

 Poor quality master data unable to support core business processes

User Adoption

 Lack of quality data can make new system unusable
 Return on investment is at risk if implementation is delayed

No Surprises

 Surprises early in a project can be managed – surprises
late in a project are a huge problem

Data Migration Cannot Delay GoLive

 Inability to track and manage the project can cause ‘surprises’
late in the project

Data Migration is far from easy –
It is crucial to identify the right partner with the right solution and
expertise for your data migration project.
Issues with Data Migration are Costly
Lower
More than 80% of data migration projects run over
time and/or over budget. Cost overruns average 30%.
Time overruns average 41%.
Bloor, 2007

High

“50% to 70% of ERP implementations are reported as ‘challenged’ in
part to data integrity and/or data accuracy problems.”

80% of organizations… will underestimate the costs related
to the data acquisition tasks by an average of 50 percent”
Gartner

Low
Data Migration Approach & Process
Traditional Method
1. Implementation Consultants provide
templates and explain mappings / mandatory
fields

Legacy
Environment

Target
Environment

Excel Extraction
templates
2. Customer Data migration team lead
provides extracts

Flat Files/
Excel

Databases

4. Consultants/Data migration team
loads data using upload programs

3. Cleaning and
evaluation

Staging
area

Flat Files/
Excel

Data Upload
Programs

4. Business Users to manually create
selected data objects

Applications

Flat Files/
Excel

6. Extraction rules and conversions
are refined for the next cycle

XML

SAP

5. Super users review data quality
5. Consultants and power users
evaluate results and provide feedback
on data quality
Data Migration Approach & Process
with Winshuttle
1. Implementation Consultants provide
templates and explain mappings / mandatory
fields

Legacy
Environment

Target
Environment

Excel Extraction
templates

Flat Files/
Excel

Databases

2. Customer Data
migration team
provides extracts

3. Data migration team validates data,
refines errors and uploads data

Flat Files/
Excel
5. Additional refinement and
validation is built into the spreadsheet
templates

Applications

XML

SAP
4. Super users review data quality
and provide feedback
Data Migration Vision and Challenges
during SAP Projects
Implementation Project demands
Functional teams need data early in the project

It is difficult to create upload programs and templates
becuase the requirements and customising are not yet
finalised

The team members want to test with actual customer
data

Data delivered is of poor quality. Once loaded, the
errors are difficult to identify and reload of only
subsets of the data is difficult

There is a need for multiple data migration cycles
throughout Realisation Phase

It takes too long to get all the data loaded due to
poor quality and time to correct errors. Therefore
repetitions need to be limited.

Closer to realisation, data requirements change and
templates need to be adjusted on the fly

Administering templates of various versions and from
various sources is an administrative nightmare.
It is difficult to change the LSMW programs

Governance and Handover need to be managed

Various different parties are involved. It becomes
virtualy impossible to track partially successful loads

Sequence of objects is important

7

Challenges to Data Migration Team

The exact sequence is discovered by trial and error
or is dependant on an expert with cross-functional
knowledge
Where Winshuttle helps
• No staging area is required
• Data can be validated against SAP before update
• Error messages are provided directly in the data
sheet
• Data source from Excel or Access are intuitive for
most business users
• No programming is required when need to be
changed
• Sharepoint provides structure and central
administration of templates and loaded sheets
Winshuttle vs LSMW
LSMW

Winshuttle

Data needs to be provided in text format
(often exported from Excel/Access)

Data is provided directly on Excel or MSAccess

Errors only become apparent during
update

Pre-validation is available in the
spreadsheet before running the actual
update

Re-processing of errors is cumbersome
and limited to SM35 functionality

Errors can be fixed before SAP update.
Winshuttle allows a run-mode whereby
only records with errors are repeated

Generally changes cannot be undone
except by populating a new data file with
original values

Winshuttle can generate a backup so that
data can be restored to original position
easily

LSMWs have to be transferred between
SAP systems (created in development,
transferred to productive)

Logon to SAP for update is dynamically
chosen at the time of the update without
need to transfer programs
Where to next?
Find out how Winshuttle can assist your:
SAP Finance processes - visit winshuttle.com/finance
SAP Master Data processes - visit winshuttle.com/masterdata

Learn more about Winshuttle’s no-programming products
and solutions:
View or register for a webinar
View a product demonstration
Explore the Winshuttle TV YouTube channel
Browse the Winshuttle Community site

Find out more about the challenges that companies faced, decisions
they made, and the benefits they realized by implementing Winshuttle:
Read a case study on one of our customers.
10

For a quick reply contact info@winshuttle.com
Learn more about Winshuttle

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Data Migration Project Support - Winshuttle

  • 1. Winshuttle Support for SAP Data Migration Projects Monika Pletschke Solution Engineer, Winshuttle 28. November 2013 1 Copyright Winshuttle 2013
  • 2. Social Sharing Click the Twitter button throughout the presentation to easily share stats and quotes with your social network.
  • 3. Are You Prepared For The Data Migration Challenge? GoLive with NO business disruption  Poor quality master data unable to support core business processes User Adoption  Lack of quality data can make new system unusable  Return on investment is at risk if implementation is delayed No Surprises  Surprises early in a project can be managed – surprises late in a project are a huge problem Data Migration Cannot Delay GoLive  Inability to track and manage the project can cause ‘surprises’ late in the project Data Migration is far from easy – It is crucial to identify the right partner with the right solution and expertise for your data migration project.
  • 4. Issues with Data Migration are Costly Lower More than 80% of data migration projects run over time and/or over budget. Cost overruns average 30%. Time overruns average 41%. Bloor, 2007 High “50% to 70% of ERP implementations are reported as ‘challenged’ in part to data integrity and/or data accuracy problems.” 80% of organizations… will underestimate the costs related to the data acquisition tasks by an average of 50 percent” Gartner Low
  • 5. Data Migration Approach & Process Traditional Method 1. Implementation Consultants provide templates and explain mappings / mandatory fields Legacy Environment Target Environment Excel Extraction templates 2. Customer Data migration team lead provides extracts Flat Files/ Excel Databases 4. Consultants/Data migration team loads data using upload programs 3. Cleaning and evaluation Staging area Flat Files/ Excel Data Upload Programs 4. Business Users to manually create selected data objects Applications Flat Files/ Excel 6. Extraction rules and conversions are refined for the next cycle XML SAP 5. Super users review data quality 5. Consultants and power users evaluate results and provide feedback on data quality
  • 6. Data Migration Approach & Process with Winshuttle 1. Implementation Consultants provide templates and explain mappings / mandatory fields Legacy Environment Target Environment Excel Extraction templates Flat Files/ Excel Databases 2. Customer Data migration team provides extracts 3. Data migration team validates data, refines errors and uploads data Flat Files/ Excel 5. Additional refinement and validation is built into the spreadsheet templates Applications XML SAP 4. Super users review data quality and provide feedback
  • 7. Data Migration Vision and Challenges during SAP Projects Implementation Project demands Functional teams need data early in the project It is difficult to create upload programs and templates becuase the requirements and customising are not yet finalised The team members want to test with actual customer data Data delivered is of poor quality. Once loaded, the errors are difficult to identify and reload of only subsets of the data is difficult There is a need for multiple data migration cycles throughout Realisation Phase It takes too long to get all the data loaded due to poor quality and time to correct errors. Therefore repetitions need to be limited. Closer to realisation, data requirements change and templates need to be adjusted on the fly Administering templates of various versions and from various sources is an administrative nightmare. It is difficult to change the LSMW programs Governance and Handover need to be managed Various different parties are involved. It becomes virtualy impossible to track partially successful loads Sequence of objects is important 7 Challenges to Data Migration Team The exact sequence is discovered by trial and error or is dependant on an expert with cross-functional knowledge
  • 8. Where Winshuttle helps • No staging area is required • Data can be validated against SAP before update • Error messages are provided directly in the data sheet • Data source from Excel or Access are intuitive for most business users • No programming is required when need to be changed • Sharepoint provides structure and central administration of templates and loaded sheets
  • 9. Winshuttle vs LSMW LSMW Winshuttle Data needs to be provided in text format (often exported from Excel/Access) Data is provided directly on Excel or MSAccess Errors only become apparent during update Pre-validation is available in the spreadsheet before running the actual update Re-processing of errors is cumbersome and limited to SM35 functionality Errors can be fixed before SAP update. Winshuttle allows a run-mode whereby only records with errors are repeated Generally changes cannot be undone except by populating a new data file with original values Winshuttle can generate a backup so that data can be restored to original position easily LSMWs have to be transferred between SAP systems (created in development, transferred to productive) Logon to SAP for update is dynamically chosen at the time of the update without need to transfer programs
  • 10. Where to next? Find out how Winshuttle can assist your: SAP Finance processes - visit winshuttle.com/finance SAP Master Data processes - visit winshuttle.com/masterdata Learn more about Winshuttle’s no-programming products and solutions: View or register for a webinar View a product demonstration Explore the Winshuttle TV YouTube channel Browse the Winshuttle Community site Find out more about the challenges that companies faced, decisions they made, and the benefits they realized by implementing Winshuttle: Read a case study on one of our customers. 10 For a quick reply contact info@winshuttle.com
  • 11. Learn more about Winshuttle

Notes de l'éditeur

  1. Why Data Migration - The challenges in dealing with this massive growth in data have material impacts on business results. Issues common to many companies include: LOWER PROFITSPaul Kielstra, “In search of clarity: Unravelling the complexities of executive decision-making,”The Economist, Economist Intelligence Unit, September 2007POOR DATA QUALITY LEADS TO LOWER PRODUCTIVITY By Jeff Kelly, News Editor25 Aug 2009 | SearchDataManagement.com News on CRM trends and technologyDigg This!     StumbleUpon     Del.icio.us    While the use of data quality software has hit an all-time high, companies, by their own admission, are still losing boatloads of money because of inaccurate data, according to a recent survey. The average organization surveyed by Gartner said it loses $8.2 million annually through poor data quality. Further, of the 140 companies surveyed, 22% estimated their annual losses resulting from bad data at $20 million. Four percent put that figure as high as an astounding $100 million. Much of this loss is due to lost productivity among workers who, realizing their data is incorrect, are forced to compensate for the inaccuracies or create workarounds when using both operational and analytic applications, Ted Friedman, an analyst with the Stamford, Conn.-based research firm, said in an interview. COMPLIANCE FAILURES(Source: InfoWorld http://www.infoworld.com/t/business/report-90-percent-companies-fail-compliance-223) 90 percent of companies fail compliance. A new report by the IT Policy Compliance Group finds that the vast majority of businesses do not meet data-handling regulations, increasing the risk of a data breach. In a report to be published by the IT Policy Compliance Group on July 18, the consortium of IT compliance and security experts concludes that some 90 percent of all businesses still do not have sufficient policies in place to meet data governance regulations and adequately limit the risk of a breach. In the survey of 475 companies, a third of whom reported revenues of more than $1 billion last year, the industry group found that an overwhelming majority of the firms expect to deal with at least six business disruptions related to major data incidents per year along with five or more instances of information loss or theft.
  2. Why Data Migration - The challenges in dealing with this massive growth in data have material impacts on business results. Issues common to many companies include: LOWER PROFITSPaul Kielstra, “In search of clarity: Unravelling the complexities of executive decision-making,”The Economist, Economist Intelligence Unit, September 2007POOR DATA QUALITY LEADS TO LOWER PRODUCTIVITY By Jeff Kelly, News Editor25 Aug 2009 | SearchDataManagement.com News on CRM trends and technologyDigg This!     StumbleUpon     Del.icio.us    While the use of data quality software has hit an all-time high, companies, by their own admission, are still losing boatloads of money because of inaccurate data, according to a recent survey. The average organization surveyed by Gartner said it loses $8.2 million annually through poor data quality. Further, of the 140 companies surveyed, 22% estimated their annual losses resulting from bad data at $20 million. Four percent put that figure as high as an astounding $100 million. Much of this loss is due to lost productivity among workers who, realizing their data is incorrect, are forced to compensate for the inaccuracies or create workarounds when using both operational and analytic applications, Ted Friedman, an analyst with the Stamford, Conn.-based research firm, said in an interview. COMPLIANCE FAILURES(Source: InfoWorld http://www.infoworld.com/t/business/report-90-percent-companies-fail-compliance-223) 90 percent of companies fail compliance. A new report by the IT Policy Compliance Group finds that the vast majority of businesses do not meet data-handling regulations, increasing the risk of a data breach. In a report to be published by the IT Policy Compliance Group on July 18, the consortium of IT compliance and security experts concludes that some 90 percent of all businesses still do not have sufficient policies in place to meet data governance regulations and adequately limit the risk of a breach. In the survey of 475 companies, a third of whom reported revenues of more than $1 billion last year, the industry group found that an overwhelming majority of the firms expect to deal with at least six business disruptions related to major data incidents per year along with five or more instances of information loss or theft.