…I am doing some user demo’s.

How do I get a professional demo without releasing transports?

…I don’t have enough Master Data to unit test.

How do get clean Master data into Development?

…Not another System Copy!

How many more System copies can we afford?

Occasional users often lack the specialized knowledge needed to locate and act on data in enterprise applications

We need a sustainable and cost effective SAP Data Management strategy to improve productivity and return on software investments

Common But Difficult Data Management ChallengeMany people, same requirement

Current AusPost Data Management ToolboxSeveral tools, but no single effective solution

Tested Tools Manual data entry

Client copy

ALE distribution models

Test Data Migration Services (TDMS)

Flash Copy SE

Homogenous System Copies

Client transport

R3Trans

Untested Tools CATT and eCATT

RFC enabled custom built programs

Other third party tools

Mainstream tools used more than once at Australia Post…

Tools which have been untested or require additional licensing or programming effort…

Compatibility MatrixWhich data management tool for which requirement

Selective Copy

Large Volume

Disruptive Data Integrity

Effort In House Skill

Complete Stack

Technical Difficulty

TDMS Yes Possibly Yes Yes High Little ERP, BI, CRM

High

Client Copy No No Yes Yes Medium

Yes Yes Medium

Client Transport No No Yes Yes Medium

Yes Yes Medium

ABAP Program Yes No No Yes Medium

Yes Yes Medium

CATT & eCATT Yes No No Yes Low Little Yes Low

R3Trans Yes No Yes No Low Yes Yes Medium

Flash Copy SE No Yes No Yes High Yes Yes Low

Manual Data Entry Yes No No Yes High Yes Yes Low

Data Management Tool evaluationTDMS

Disadvantages Can be slow when working though large source systemsVery slow when taking transaction dataNo EP or PI supportSensitive data is copied (might need scrambling or complex authorization)Production systems are growing (storage costs will blow out)Specialized knowledge required (need to skill up)

Advantages Shell creation - Repository and client independent data onlyMaster and configuration data onlyMaster and configuration data in addition to time slice of transactional data TDMS for HCM (PA and OM data)Some BI and CRM copy functionalityNo Post copy tasks to be performedNo need to release open TransportsNo need to re-apply TransportsNo loss of Repository change historyPossibility of NetApp disk technology improvementsCould create a TDMS ‘lean’ client for jumping other systems

Data Management Tool evaluationClient Copy and Client Transport

Disadvantages Can be slow when working though large source systemsNot recommended for clients > 1gbNeed temporary workspace on disk for export filesNo EP or PI supportSensitive data is copied (might need scrambling or complex authorization)Production systems are growing (storage costs will blow out) Post copy tasks take time (users, interfaces, BDLS, BI connections etc)Open transports need to be releasedTransports need to be re-appliedRepository objects lose change history

Advantages Well known by Basis teamWill be fast for smaller source clientsWorks for all ABAP based systems

Data Management Tool evaluationCustom ABAP program

Disadvantages Development costs and timeProduction systems are growing (storage costs will blow out)Created maintenance and support overhead Need a highly skilled resourceNot recommended or supported by SAP

Advantages Most development staff are well skilled at AusPostCan take selective data regularly Can be coded for entire NetWeaver stackSensitive data can be scrambled on copyNo Post copy tasks to be performedNo need to release open TransportsNo need to re-apply TransportsNo loss of Repository change history

Data Management Tool evaluationCATT and eCATT

Disadvantages Can be slow when working though large transaction volumesNot recommended for large data requirementsNot widely used at AusPost

Advantages Can take selective transactions quicklyCan be re-used by testing teamWell established and free SAP toolFast and accurateCan be coded for entire NetWeaver stackNo Post copy tasks to be performedNo need to release open TransportsNo need to re-apply TransportsNo loss of Repository change historySensitive data can be scrambled on data entry

Data Management Tool evaluationR3Trans

Disadvantages Can be slow when working though large tablesNot recommended for tables > 1gbNeed temporary workspace on disk for export filesSensitive data is copied (might need scrambling or complex authorization)Production systems are growing (storage costs will blow out) Not “officially” supported by SAP

Advantages Can take selective tables quicklyWell known by Basis teamWill be fast for smaller source clientsCan be coded for entire NetWeaver stackNo Post copy tasks to be performedNo need to release open TransportsNo need to re-apply TransportsNo loss of Repository change historyGreat for “Z” tables

Data Management Tool evaluationFlash Copy SE (or full system copy)

Disadvantages Production systems are growing (storage costs may blow out)Post copy tasks take time (users, interfaces, BDLS, BI connections etc)Open transports need to be releasedTransports need to be re-appliedRepository objects lose change historySensitive data is copied (might need scrambling or complex authorization)Technology establishment takes some time

Advantages Easy to perform once technology is establishedProven track record for Finance deploymentEnough existing infrastructure for the entire Production landscapeSustainable approachApproved by Enterprise Architecture as a strategically sound approach

Data Management Tool evaluationManual Data entry

Disadvantages Can be slow when working though large transaction volumesNot recommended for large data requirements

Advantages Can take selective transactions quicklyCan be re-used by testing teamWell established process to get data into the SAP systemCan be performed for the entire NetWeaver stackNo Post copy tasks to be performedNo need to release open TransportsNo need to re-apply TransportsNo loss of Repository change historySensitive data is manually scrambled on data entry

Low volume Medium volume

Which Data Management tool should be used?Depends on data volume and copy frequency

High volume

High data volumes will make lower Tiered products unattractive Higher Tiered products can be overkill for low data volumes Data copy frequency will often determine the most appropriate Product All data management Products must be mastered by SAP Services

Tier 1 products

CATT and eCATT

Custom ABAP

Manual Data Entry

Tier 2 Products

R3Trans

Client Copy

Client Transport

Tier 3 Products

TDMS

Tier 4 Products

Flash Copy SE

Full System Copy

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