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© 2017 Validata

  

Table of Introduc1. Poor k2. Startin3. Lack o4. Not Te5. Legac6. Comp7. Overlo8. Financ

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f Contents

tion .......knowledgng with thof data mesting Proy Decomlex validaooking Mecial Recon

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............e of sourhe wrong

migration eoduction missionination threetrics .....nciliation

.............ce data .. scope deexpertiseData ......

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© 2017 Validata

Intro

Data Menvironstoragemigratio Data madoptinoften se“necesssystemnext.

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oductio

Migration is nment or sye types, foron is most

migration is ng new syseen as thesary evil” o to anothe

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on

the procesystem to armats, or coften time

typically astems. Bece actual invof less impr isn’t as s

ss of ensurnother. Wh

changing ites undertak

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ring the smhether youover to a c

ken as par

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However, trdumping inf

mooth transu’re transfecompletelyrt of a broa

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sferring of rring that d

y different sder applica

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data from data betwesystem, daation.

it comes tore adopting

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© 2017 Validata

1. Poo

This knowsuch as dtoo easy target sysacceptan Data migcorrectionsubject it issues wiasymmetstandardsscenario legacy fro To createup-front enot compestimate amount o

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or know

wledge gapduplicates,to assumestem howece.

ration expon or opportis to data ll be. Legatric hierarcs. Source Dis the lackont.

e an effectieffort to unprehensive of the effo

of time to m

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wledge

p includes missing in

e that your ever the rea

oses data tunities meentry (the

acy data is hical structData often

k of commo

ive data mderstandinenough tort required

make a full

Dpeaof

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not beingnformation,data can eality could

quality issueriting leveleading orprone to totures, orph require de

on ground b

igration strng source do support th. Instead, and accur

Data mermatempf reso

urce da

aware of t, misspellineasily be cmean criti

ues, whetherage. Therigin of defeough probhaned dataeep data cbetween th

rategy, comdata. Simphe creationorganizatio

rate identifi

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poraryources

ata

he problemngs and er

configured cal failures

her they arolder the d

ective datalems like m

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mpanies neply profilingn of a detaons need tication of s

tion minvesy reass.

ms that exirroneous dinto the pas when it c

re defects rdataset ana), the deepmulti-value s, and muls the mostfor data m

eed to dedg and sampiled strateg

to devote asource data

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requiring d the moreper its qua fields, ltiple data t common

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dicate subspling the dagy or an aca significana.

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data, be all

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stantial ata are ccurate nt

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© 2017 Validata

ImmensitynecessaryDetermini

System re

2. St

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y of data my to identifyng how to

equires ext

tarting

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migration tay and descextract da

tensive kno

with th

asks mightcribe the prata and exp

owledge of

he wro

be overwhrocess to bport it for m

f both syst

understan

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scope deproblemsitself withbe planne

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Importantthis phasmigrationdue and c When progain a proand, alsoimportantmigrationis suicidaunderestithings whmigrationmuch moorganizat

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efinition wills. Data cleahin the miged accordi

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oper scopinoper insigh, in the relat not to und

n, and lookal. The samimating thehich have tn longer thaore annoyintion.

the beginnd and whatnto the new

tecture as

e data’s us

and use wh

l mitigate pansing ofteration projengly.

efinitio

s need to bwith criticalsuch Interemigration

ng is omitteht into the sated costsderestimating for sav

me is to scoe number oo be done an predicteng to data u

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potential coen is a project and it n

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© 2017 Validata

Data mthe faccompatechniqmigratand thsystem Data M

able to

case. not on

3. L

“37

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migration sct that dataanies buildques and btion projectere is part

m specifics

Migration is

o pass thro

Data migrly from IT,

Lack of

7% says

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skills retenta migration a centre obest practits are not cticular expes.

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ration isn't but also fr

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s a lack o

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tion is a bign is not reaof excellences whichcomparablertise and

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g problemally seen asce for datathey found

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nor support

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© 2017 Validata

 

4. N

Testingnew sytesting unit tesreprese Your teFailing discrep

data firtesting

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ot Tes

g of a data ystem often

time. Unit sting is conentative of

est environto test pro

pancies bet

rst, using aa larger sa

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sting P

migration n gets squetesting sh

nducted onthe whole

ment may oduction datween you

a “controlleample size

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mirror realitcreate convnd simulate

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moving taness prioritn what hasata, the re

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kely does noblems cauments. Tes

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deploymeng little migt, but becaunlikely to b

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© 2017 Validata

 

An effectis to retirrole in eneliminateadministspace saare retire The lackresponsethat allowcurrent in

5. Le

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tive strategre legacy anabling orges recurringration costavings anded.

k of IT staffes to auditsws access nvestment

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gy to free uapplicationsganizationsg costs suts, represe reduction

f familiar ws and e-disusing stan

ts in. This e

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up budget fs. Decomms to rationach as licen

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© 2017 Validata

 

6. Co

When taand quaon their Without results to Organizabusinesschangedmanageenvironmbusiness

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omplex

arget systelity threshoend users validation o downtim

ations muss users wad. This requment. Data

ments, datas rules, as

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ms are notolds for dato validateproceduree of system

st establishant the abiluires somea profiling,a quality iswell as me

ation th

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7. O

Data you c Honespaceinitial

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Overloo

migration could run b

e in on the e allocation data extra

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oking M

metrics hebehind with

most relevn, record caction and

Metrics

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© 2017 Validata

Financregularreports Depenprocescorrectbalanc

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cial reconcirly to comps.

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iliation is aply with leg

e migrationy as it mighmounts thatavailable e

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© 2017 Validata

About V

Validata Groclients acce Until now orsuppliers in ALM platforplanning, reQC, CA Clacontinuous Validata’s mmaintenancand throughtest it with.

For more in

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Validata

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