snp t bone-dpm_overview

15
SN Opt P T-Bon timized D ne - Dat Data for T ta Provi Test, Co isioning mpliance g and M e and Qu Masking uality Ma anageme Page 1 of 15 ent

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Page 1: Snp T bone-dpm_overview

SN Opt

P T-Bon

timized D

ne - Dat

Data for T

 

ta Provi

Test, Co

isioning

mpliance

g and M

e and Qu

Masking

uality Maanageme

Page 1 of 15 

 

ent

Page 2: Snp T bone-dpm_overview

Tran

units

techn

proce

much

comp

(clou

enter

Cons

simp

a sys

A cru

optim

objec

Com

withi

and i

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s within a c

nical chang

esses (mer

h faster, tim

panies are

ud services

rprise agen

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ple renovatio

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ucial factor

mize the pr

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is a factor t

mpanies app

enges facin

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ware users.

s are now a

company fa

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me-to-marke

coming fa

or SaaS

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companies

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to significan

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system land

hat contribu

ply quality m

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d driving a

 

a regular pa

acing increa

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acquisitions

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models, fo

seeking to d

mization me

t allows for

ng this is to

ithin the co

ntly improve

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dscapes. It

utes signific

managemen

such as err

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singly shorte

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or instance)

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market goin

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cally restruc

elf and imp

performanc

of the imp

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of working

ess. It is no

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g forward c

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formation cy

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part of t

cannot rely o

zations mus

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ompany’s pl

quality of da

quality as

entire IT o

erformance

o address im

rt, higher l

perspective

Page 2 of 15 

 

business

mic and

ormation

happen

nd many

concepts

he daily

on using

st create

ke place.

latforms,

ata—the

ssurance

operation

e results.

mportant

evels of

of their

Page 3: Snp T bone-dpm_overview

If we

appli

an ev

comp

that

deve

supp

Prov

as po

inclu

To o

a so

prod

using

third-

and R

Howe

proce

envir

and

whic

grow

Furth

TKG

signi

envir

inform

prope

e focus on

ication and

ver-growing

panies nee

is both ap

elopment pr

port when in

visioning for

ossible. It m

ding prepro

btain test d

ource. Seve

uctive. It is

g technical

-party provi

Remote Cli

ever, the di

essing effo

ronment ou

roles, for e

h in turn in

wing amount

hermore, du

, 95/46/EG

ficant need

ronment in

mation suc

erty (particu

n business

system lan

g number o

d to provid

ppropriate a

rocesses, a

ntroducing n

r both initial

must be per

ocessing an

ata that is r

eral differen

crucial, reg

tools prov

iders. For e

ent Copy) a

isadvantage

ort—particul

ut of a prod

example). In

creases the

ts of data av

ue to reason

, HIPAA, et

d to “anon

order to p

ch as busin

ularly acces

 

software a

ndscapes th

f datasets.

de their dev

and realistic

automate q

new busines

and recurr

rformed bot

nd post-proc

realistic, co

nt procedur

gardless of

vided by ha

example, the

also allow u

e of these a

larly post-p

uction envi

n addition,

e demand f

vailable wit

ns connecte

tc.) and inte

nymize” and

prevent un

ness partne

ss by extern

applications

hat are bec

In order to

velopment,

c. By doing

quality assu

ss functions

ring test dat

h quickly an

cessing acti

mpanies ca

res are ava

what appro

ardware an

e basic too

sers to crea

approaches

processing—

ironment (a

a significan

for storage

hin the prod

ed with stat

ernal guide

d deperson

authorized

er address

nal parties).

s, we see

coming incr

ensure tha

test and tr

g so, they

urance pro

s.

ta for these

nd with as l

vities.

an turn to th

ailable for b

oach is used

nd database

ls available

ate a copy o

s is that a co

—is require

adjusting au

nt level of r

capacity ne

duction syst

tutory data

elines regard

nalize data

access to

ses, salarie

that ERP

reasingly co

at these sys

raining syst

can then s

cesses and

e purposes

little manua

heir product

building sys

d, to create

e manufact

e within SAP

of entire sys

onsiderable

ed in orde

uthorizations

redundancy

eeded in or

tem.

protection r

ding data s

copied fro

sensitive

es, conditio

users are

omplex and

stems run o

tems with te

speed up s

d provide e

must be as

al effort as p

tion environ

stems that

e a 1:1 copy

turers or s

P® (such as

stems and c

e amount of

r to create

s, interface

y is also ge

rder to repli

regulations

security, the

om the pro

or busines

ns and int

Page 3 of 15 

 

running

d feature

ptimally,

est data

software

effective

s flexible

possible,

nment as

are not

y (clone)

specialist

s R3load

clients.

f manual

e a test

es, users

nerated,

cate the

(BDSG,

ere is an

oduction

s-critical

tellectual

Page 4: Snp T bone-dpm_overview

The

SNP

“SNP

deve

mask

traini

As p

test d

T-Bo

funct

a sol

mana

will e

autom

mean

SNP

the fo

By p

have

cost

syste

main

Solution

T-Bone D

P Data Dis

eloped, sop

king live da

ing.

part of the o

data anony

one Data P

tionality by

lution that m

agement op

enable com

mated or fu

ns of a defin

T-Bone Da

ollowing iss

Building

Refreshi

Provision

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Anonym

providing us

e a tool that

and with m

em environ

ntenance ac

ata Provis

stillery” that

phisticated,

ata from th

overall SNP

ymization ha

Provisionin

drawing on

makes it eas

perations, f

mpanies to

ully automat

ned scenar

ata Provisi

sues, for exa

sandbox sy

ng QA syst

ning test da

ning selecte

ization of da

sers with a

t allows the

minimum e

nments are

ctivities are

 

ioning and

t was intro

efficient an

heir ERP s

P T-Bone t

as been dev

g and Mas

our years o

sy and effic

rom both a

determine

ted approac

io.

ioning and

ample:

ystems and

tems regula

ata for deve

ed test data

ata that nee

function fo

m to guara

effort. Any

e shortene

supported e

d Masking

duced bac

nd agile too

systems, fo

ransformati

veloped fur

sking. SNP

of experien

cient to integ

logical and

the data

ch, and will

Masking c

project sys

arly

lopers and

a for process

eds protecti

or reducing

ntee the qu

transformat

ed conside

extremely fl

(DPM)—as

k in 2006—

ol for perfo

or use in te

ion platform

rther as a s

P has devel

ce gained i

grate into te

d technical

needed fro

allow them

can help co

stems

colleagues

sing suppor

on in non-p

test data i

uality of the

tion cycles

erably and

lexibly.

a further e

—provides

orming migr

esting, qua

m, test data

eparate sol

oped the m

n this area,

est manage

perspective

om test ca

to make th

ompanies ta

working in

rt incidents

production s

n a highly

ir software

that are p

both inte

enhanceme

users with

rations and

lity assuran

a managem

lution modu

module’s un

, paving the

ement and t

e. In the fut

ses using

is data ava

ackle and ov

support

systems

flexible wa

and project

present in c

ernal projec

Page 4 of 15 

 

nt to the

a well-

reliably

nce and

ment and

ule: SNP

nderlying

e way for

test data

ture, this

a semi-

ilable by

vercome

y, users

ts at low

complex

cts and

Page 5: Snp T bone-dpm_overview

Figur A ho

flexib

Appl

proce

The

Unit

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re 1 - SNP T

ost of selec

bility. It als

ication Life

ess tests, w

DPM modu

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t tests / dev

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so enables

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Use Case

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s them to

agement, s

e test data.

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such as bug

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different t

nit tests, int

ases:

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nt systems

endent selec

data reduc

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test phases

tegration te

s

e master dat

ction of bus

ction

r

Page 5 of 15 

 

ith great

s within

ests and

ta for

siness

Page 6: Snp T bone-dpm_overview

Sup

Tra

Com

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reduc

them

data

Neve

reduc

cons

By a

met

are f

defin

the fo

SNP

deve

from

data

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pport incide

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and, in part

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ned in the d

ollowing:

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g the depen

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ith consiste

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ms is able

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hat exist w

ibly, individ

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module is

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anonymiza

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ent data ac

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Process

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ess proces

ance guidel

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the tables

quirements,

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to reserve

ed. Furtherm

Page 6 of 15 

 

reduction evant ng data

e test data

f existing

nificantly

allowing

olume of

iderably.

e of this

ses into

ines are

activities

that are

such as

RP test,

obtained

providing

cognized

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Page 7: Snp T bone-dpm_overview

SNP

proce

offers

Figur

extensiv

for interf

which yo

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demand

the volum

copy is

require is

T-Bone Da

esses and

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Both the

storage s

Your dev

with new

re 2 - SNP T

e amount o

faces, users

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y, client cop

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me of data

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space requ

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of manual p

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pies also do

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ded as part

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process of

copy either.

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erlying tabl

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nt and are s

owntimes.

Page 7 of 15 

 

em (e.g.

process

hey also

re, when

m a client

you may

business

es. This

ounts of

supplied

Page 8: Snp T bone-dpm_overview

The

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ve processe

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unctions in

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parties. U

n be tested

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data you ma

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SNP T-Bon

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olumes

during testin

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Page 8 of 15 

 

ne Data

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rotection

ng

Page 9: Snp T bone-dpm_overview

Func

SNP

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signi

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ent data ex

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at exist betw

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select whi

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simplify the

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system-ba

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base tables

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Data Provi

sing steps.

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Page 9 of 15 

 

gent and

edefined

, SNP T-

test data

ules that

in great

business

isioning

Page 10: Snp T bone-dpm_overview

Poss

SNP

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support for

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systems (red

Page 10 of 15 

 

ides you

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duced

Page 11: Snp T bone-dpm_overview

Data

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egrity

verwrite ba

e cost cente

issues tha

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o chosen:

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dependent

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er managers

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ta environm

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back-refere

center texts

Page 11 of 15 

 

up non-

ariety of

ment

explicitly

ons (e.g.

needed

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rtners as

ncing to

Page 12: Snp T bone-dpm_overview

Fea

The

apart

Data

atures

features lis

t from other

a Provision

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provided f

s part of the

ing separat

mensional d

endly user in

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up and trans

nsating for s

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are what s

rtain ERP m

er data and

ments are su

for Industry

e standard c

te customer

ata distinct

nterface

ners” in flat

of logical sy

sferring mu

structure diff

fferent relea

set SNP T-

modules only

transaction

upported

y ERP Solu

content

r scenarios

ion

t files to res

ystems on-t

ltiple clients

ferences

ases

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y

n data are a

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Page 12 of 15 

 

Masking

tion

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Page 13: Snp T bone-dpm_overview

Data

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SNP

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tool f

quali

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data transfe

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users with

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