pt-10311informationinnovationindexja-vt-140612130931-phpapp02.pptx

8/18/2019 pt-10311informationinnovationindexja-vt-140612130931-phpapp02.pptx

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© Hitachi Data Systems Corporation 2014. All rights reserved.

© Hitachi Data Systems

InformationInnovation IndexMay 2014


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Demographics

…size …sector

200 IT decision-makers from UK enterprises wereinterviewed in April 2014, split in te followin! wa"s###

200 IT decision-makers from UK enterprises wereinterviewed in April 2014, split in te followin! wa"s###

Figure d2: $%itin wic sector is "o&r or!anisati(200 respondents)

Figure d1: $)ow man" emplo"ees work in "o&ror!anisation'( (200 respondents)

*+

122

1001-000 emplo"ees

0

42

0

2+

1

.&/lic sector

inancial services

an&fact&rin!

IT and telecoms


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1# &siness-defined IT

2# Information innovation

# Iss&es wit &ntapped intelli!ence3innovation

Three areas of interest


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)itaci 5ata 6"stems 7orporation 2014# All ri!ts reserved#

)itaci 5ata 6"stems 7

1. Business-defined IT


5/27© Hitachi Data Systems Corporation 2014. All rights reserved.

7an IT s&pport te drive for /&siness !rowt and innovation'

Figure 1: Analysis for those who agree ordisagree that “IT is a/le to s&pport"o&r or!anisation8s am/ition to drive/&siness !rowt /" e9tractin! val&efrom data'( (200 respondents)

Figure 2: $To wat e9tent do "o& /is a/le to s&pport "o&r oam/ition to innovate /" val&e from data'( (200 r

:verall 4; of respondents do not a!reetat IT is a/le to s&pport teir

or!anisation



Are IT limitations oldin! or!anisations /ack'

Figure 3: $5o "o& tink "o&r or!anisation8s am/ition toaccelerate !rowt /" levera!in! information is /ein!eld /ack /" te limitations of IT'( (200 respondents)

Figure 4: $To wat e9tent do "o& tink tatmana!in! information is stiflin! tlevera!e data to drive /&siness !

>&st over nine in ten ?@2; respondents a!ree to somee9tent tat te limitations of IT are oldin! /ack /&siness

!rowt

7o&ld part of te limitation /e te wa" te data is storedand mana!ed'

>&st over nine in ten ?@2; respondents a!ree to somee9tent tat te limitations of IT are oldin! /ack /&siness

!rowt

7o&ld part of te limitation /e te wa" te data is storedand mana!ed'

Bine in ten respondents a!rIT



Are o&tdated IT practices3processes oldin! or!anisations /a

Figure 5: $Anal"sis of tose wo a!ree to some e9tent or do nota!ree at all tat o&tdated IT practices3processes arerestrictin! te or!anisation8s a/ilit" to levera!e data todrive /&siness !rowt'( (200 respondents)

Figure 6: $Is IT perceived to /e a strate!ic ascompan"'( (200 respondents)

@4; of respondents a!ree to some e9tent tato&tdated IT practices3processes are oldin! /ack

teir or!anisation

Tis s&!!ests tat if te maCorit" of or!anisationswere to &pdate teir IT practices and3or processes,

te" ma" /e a/le to /etter &tilise teir data fordrivin! /&siness !rowt

@4; of respondents a!ree to some e9tent tato&tdated IT practices3processes are oldin! /ack

teir or!anisation

Tis s&!!ests tat if te maCorit" of or!anisationswere to &pdate teir IT practices and3or processes,

te" ma" /e a/le to /etter &tilise teir data fordrivin! /&siness !rowt

IT is perceived as a strate!icrespondents< or!anisations

%e mi!t infer from tis taor!anisations consider IT to

owever as i!&re sows tfailin!

IT is perceived as a strate!respondents< or!anisations

%e mi!t infer from tis tor!anisations consider IT to

owever as i!&re sowsfailin!

*0;

0;

Des Bo

=;

@4;

5o not a!ree at all A!ree to some e9tent



%" is IT &na/le to s&pport /&sinessleaders in e9tractin! val&e from data'

@*; of respondents stated at least one reason w" IT is &na/le to s&pport /&siness leaders in e9tractin!val&e from data, and on avera!e eac respondent selected /etween tree and fo&r of te a/ove reasons

Te main reason w" IT is &na/le to s&pport teir or!anisation



5oes IT work wit line of /&siness leaders'

:nl" 1; of respondents stron!l"f&nction works wit line of /&sines

A i!er percenta!e of respondentminin! &ntapped intelli!ence a!reworks wit line of /&siness leaders?*4; compared to tose not "et intelli!ence ?4;

Te data s&!!ests tat IT departmwo are foc&sed on minin! &ntapplikel" to /e ali!ned to te needs of

:nl" 1; of respondents stron!lf&nction works wit line of /&sine

A i!er percenta!e of respondenminin! &ntapped intelli!ence a!rworks wit line of /&siness leade?*4; compared to tose not "etintelli!ence ?4;

Te data s&!!ests tat IT departwo are foc&sed on minin! &ntaplikel" to /e ali!ned to te needs o

5o line of /&siness leaders make tassist wen developin! and e9ec&t5o line of /&siness leaders makeassist wen developin! and e9ec&

Figure 8: $5oes "o&r IT f&nction work wit line of /&siness leaders todefine IT strate!" /" ali!nin! /&siness o/Cectives wittoda"8s tecnolo!" capa/ilities'( Asked of all respondents(200) broken down by those who are$are not mininguntapped intelligen!e

6i9 in ten ?=0; respondents a!reef&nction works wit F: leaders to dali!nin! /&siness o/Cectives wit tod

capa/ilities

6i9 in ten ?=0; respondents a!reef&nction works wit F: leaders to ali!nin! /&siness o/Cectives wit to

capa/ilities

4; 4; ,;

11;=;

1,;

2=;

1*;

2@;

4;

2;

42;

1;22;

12;

- stron!l" a!ree 4 , 2 1 - do not a!ree at all



5oes te IT department ave adeE&ate access toline of /&siness leaders'

:nl" 11; of respondents stron!l" a!reetat te" ave adeE&ate access to F:

leaders to develop and e9ec&te aneffective IT strate!" tat drives /&siness

!rowt

:nl" 11; of respondents stron!l" a!reetat te" ave adeE&ate access to F:

leaders to develop and e9ec&te aneffective IT strate!" tat drives /&siness

!rowt

Fine of /&siness leaders are more likel" to/e availa/le to teir IT collea!&es for tis

p&rpose in or!anisations tat are c&rrentl"minin! &ntapped intelli!ence

Te data s&!!ests tat wen or!anisations areminin! &ntapped intelli!ence tere is more

need for IT to ave access oter F: mana!ers

Fine of /&siness leaders are more likel" to/e availa/le to teir IT collea!&es for tis

p&rpose in or!anisations tat are c&rrentl"minin! &ntapped intelli!ence

Te data s&!!ests tat wen or!anisations areminin! &ntapped intelli!ence tere is more

need for IT to ave access oter F: mana!ers

7o&ld IT /e doin! more to s&pport teir/&siness leaders'

7o&ld IT /e doin! more to s&pport teir/&siness leaders'

; 2;

2,;

1;

,0;

2=;

,2;

,,;

11;

24;

- stron!l" a!ree 4 , 2 1 - d


11/27


Are IT doin! eno&! to s&pport /&siness leaders'

Aro&nd one in ten ?@; respoor!anisation does not ave andata to assist wit drivin! /&

Tis s&!!ests tat despite few

tat te" do not work wit F:co&ld /e doin! m&c more

Aro&nd one in ten ?@; respor!anisation does not ave adata to assist wit drivin! /

Tis s&!!ests tat despite fe

tat te" do not work wit Fco&ld /e doin! m&c more

Given tat so few tink tat ts&pportin! /&siness leaders estrate!" reE&ire more inp&t f

Given tat so few tink tats&pportin! /&siness leadersstrate!" reE&ire more inp&t

Figure 10: $5o "o& a!ree tat IT co&ld /e doin! more to s&pport/&siness leaders in teir !oal of levera!in! data to drive/&siness !rowt'( showing respondents who have a goal ofleveraging data to drive business growth (%&2 respondents)

Almost all respondents ?@@;!oal of levera!in! data to dr!rowt, a!ree to some e9te/e doin! more to s&pport tleaders to acieve tis !oal

Almost all respondents ?@@!oal of levera!in! data to d!rowt, a!ree to some e9te/e doin! more to s&pport tleaders to acieve tis !oal

1; *;

21;

4;

2=;

1 - do not a!ree at all 2 4 - stron!l" a!ree


12/27


5oes te IT strate!" reE&ire more inp&t from /&siness leaders'

Aro&nd alf of respondents ?1; a!ree teir/&siness leaders so&ld ave a !reater sa" in te

direction of teir IT strate!"

Aro&nd alf of respondents ?1; a!ree teir/&siness leaders so&ld ave a !reater sa" in te

direction of teir IT strate!"

:f tose wo wis tat teir or!anisation was investin!in data anal"tics, si9 in ten ?=1; a!ree tat /&siness

leaders so&ld ave more inp&t in te IT strate!"

7ompared to 2; in or!anisations wo do not want to/e investin! in data anal"tics

Tis s&!!ests tat IT decision-makers are more open toteir /&siness leaders /ein! involved in te IT strate!"

direction if te" want teir or!anisation to invest indata anal"tics

:f tose wo wis tat teir or!anisation was investin!in data anal"tics, si9 in ten ?=1; a!ree tat /&siness

leaders so&ld ave more inp&t in te IT strate!"

7ompared to 2; in or!anisations wo do not want to/e investin! in data anal"tics

Tis s&!!ests tat IT decision-makers are more open toteir /&siness leaders /ein! involved in te IT strate!"

direction if te" want teir or!anisation to invest indata anal"tics

; 4;

1=;11;

2@;

24;

,+;4*;

1,; 14;

1 - do not a!ree at al

,

- stron!l" a!ree


13/27

)itaci 5ata 6"stems 7orporation 2014# All ri!ts reserved# )itaci 5ata 6"stems 7

2. InformationInnoation


14/27


Are or!anisations correlatin! information wit oter data sets'

Tis means tat 40; of respoare not c&rrentl" correlatin! idata sets to e9tract val&e, wiless likel" to /e doin! tis ?4==; of lar!er enterprises w

6maller or!anisations mi!t nsets to correlate, or ma" percso

Tis means tat 40; of resare not c&rrentl" correlatin!data sets to e9tract val&e, wless likel" to /e doin! tis ?4=; of lar!er enterprises w

6maller or!anisations mi!tsets to correlate, or ma" perso

%ic data sets old te mos%ic data sets old te mo

Figure 12: $Is "o&r or!anisation c&rrentl" correlatin!information wit oter data sets to e9tractval&e'( Asked of all respondents (200)broken down by organisation si'e

Tree in five respondents ?=0;or!anisation is c&rrentl" correlwit oter data sets to e9tract

Tree in five respondents ?=0or!anisation is c&rrentl" correwit oter data sets to e9trac

=0;4;

=4;

40;4=;

,=;

Bo Des


15/27


%ic data so&rces and t"pe old te most val&e'

Accordin! to *; of respondents, c&stomer data olds te most val&e to teir or!anisations?i!&re 1

)alf of respondents ?0; see te most val&e in semi-str&ct&red or &nstr&ct&red data, te data settat are most diffic&lt to anal"se ?i!&re 14

Accordin! to *; of respondents, c&stomer data olds te most val&e to teir or!anisations?i!&re 1

)alf of respondents ?0; see te most val&e in semi-str&ct&red or &nstr&ct&red data, te data setstat are most diffic&lt to anal"se ?i!&re 14

Figure 13: $%at so&rce of data !enerated /" te /&siness do"o& /elieve olds te most val&e for "o&ror!anisation'( (200 respondents)

Figure 14: $%ic t"pe of data !enerated /" t/elieve olds te most val&e to drivand innovation'( (200 respondents

*;

0;

Unstr&ct&red data 6emi-

6tr&ct&red data

*;

1=;@;

;


16/27


Are or!anisations minin! &ntapped intelli!ence'

Figure 15: $Is "o&r or!anisation c&rrentl"&ntapped intelli!ence'( (200 re

*; of respondents< or!anisations are notc&rrentl" minin! &ntapped intelli!ence

*; of respondents< or!anisations are notc&rrentl" minin! &ntapped intelli!ence

:f tose not minin! &ntapped intelli!ence, tree in fivesa" tat teir or!anisation is not plannin! on doin! so in

te ne9t 1+ monts

:ver alf ?=; of all respondents eiter plan to /eminin! &ntapped intelli!ence in te ne9t 1+ monts, or

are alread" doin! it

Te data s&!!ests tat tere is a minorit" of or!anisations?2*; wo are doin! tis alread" wo will ave an

advanta!e over teir competitors, wit 44; possi/l"

&naware of te opport&nit"

:f tose not minin! &ntapped intelli!ence, tree in fivesa" tat teir or!anisation is not plannin! on doin! so in

te ne9t 1+ monts

:ver alf ?=; of all respondents eiter plan to /eminin! &ntapped intelli!ence in te ne9t 1+ monts, or

are alread" doin! it

Te data s&!!ests tat tere is a minorit" of or!anisations?2*; wo are doin! tis alread" wo will ave an

advanta!e over teir competitors, wit 44; possi/l"

&naware of te opport&nit"

or tose wo c&rrentl" mine &ntapped intelli!ence, wat/enefits are te" e9periencin!'

or tose wo c&rrentl" mine &ntapped intelli!ence, wat/enefits are te" e9periencin!'

2*

2@;

44;

7&rrentl" minin!

Bot c&rrentl" minin! /&t pla

Bot c&rrentl" minin! wit no


17/27


%at is /ein! capt&red /" minin! &ntapped intelli!ence'

Figure 16: $%ic of te followin! is "o&r information anal"sis allowin! "o& to capt&re'( asked of respondents wh!urrently mining untapped intelligen!e ( respondents)

All respondents wo alread" mine &ntapped intell i!ence sa" tat te" ave /een a/le to e9tract val&a/leinsi!ts in doin! so ?an avera!e of tree of te a/ove, s&!!estin! ow important minin! &ntapped

intelli!ence is

Aro&nd alf sa" tat minin! allows tem to identif" areas of inefficienc" ?2;, identif"ind&str"3c&stomer trends ?4+;, make cost savin!s ?4+;, and3or allows tem to provide a /etterc&stomer service ?4+;# Tis indicates tat different or!anisations are /enefitin! in different wa"s,

impl"in! tere are a m&ltit&de of different /enefits from carr"in! o&t information anal"sis

All respondents wo alread" mine &ntapped intell i!ence sa" tat te" ave /een a/le to e9tract val&a/leinsi!ts in doin! so ?an avera!e of tree of te a/ove, s&!!estin! ow important minin! &ntapped

intelli!ence is

Aro&nd alf sa" tat minin! allows tem to identif" areas of inefficienc" ?2;, identif"ind&str"3c&stomer trends ?4+;, make cost savin!s ?4+;, and3or allows tem to provide a /etterc&stomer service ?4+;# Tis indicates tat different or!anisations are /enefitin! in different wa"s,

impl"in! tere are a m&ltit&de of different /enefits from carr"in! o&t information anal"sis

Identif" areas of inefficienc"

Identif" ind&str"3c&stomer trends

ake cost savin!s

.rovide a /etter c&stomer service

Identif" new reven&e streams

.rovide insi!ts into potential areas of innovation

7reate more sopisticated /&siness processes

%e ave not /een a/le to e9tract an" val&a/le insi!ts

2

4+;

4+;

4+;

4;

4;

41;

0;


18/27


Are or!anisations missin! o&t if te" do not correlate datainformation wit oter data sets'

Figure 17: Analysis of those who agree to sagree at all that their “or!anisatopport&nit" to !ain val&a/le /&sof respondents whose organisat!orrelating information with othrespondents)

Almost all respondents ?@=; woseor!anisations do not correlate information witoter data sets a!ree to some e9tent tat te"

are missin! o&t

Almost all respondents ?@=; woseor!anisations do not correlate information witoter data sets a!ree to some e9tent tat te"

are missin! o&t

Te fact tat 100; ?i!&re 1= of tose wo are doin! tisare seein! /enefits !ives stron! indication of ow likel" it is

tat tese respondents are missin! o&t

Te fact tat 100; ?i!&re 1= of tose wo are doin! tisare seein! /enefits !ives stron! indication of ow likel" it is

tat tese respondents are missin! o&t

%at opport&nities co&ld &ntapped intelli!ence &nlock'%at opport&nities co&ld &ntapped intelli!ence &nlock'

4;

@=;

5o not a!ree at all A!r


19/27


%at potential does &ntapped intelli!ence old'

=; of respondents /elieve tintelli!ence as te potential

Aro&nd alf ?2; /elieve it streams and aro&nd alf ?4@;a/ilit" to transform /&siness

Hven =4; of tose wo are n&ntapped intelli!ence nonet

potential to drive !rowt

=; of respondents /elieveintelli!ence as te potentia

Aro&nd alf ?2; /elieve itstreams and aro&nd alf ?4@a/ilit" to transform /&siness

Hven =4; of tose wo are &ntapped intelli!ence nonet

potential to drive !rowt

Are or!anisations doin! eno&Are or!anisations doin! eno

Figure 18: $5o "o& /elieve tat &ntapped intelli!ence as te potential to dote followin!( Asked of all respondents (200) broken down bywhether they !urrently mine untapped intelligen!e or not

Bine in ten ?@0; respominin! &ntapped intelli!!rowt, create new reve

transform /&siness

Bine in ten ?@0; respminin! &ntapped intelli!rowt, create new rev

transform /&siness

Total

7&rrentl" minin! &ntap ped intelli!ence

Bot c&rrentl" minin! &ntapped intelli!ence

=-;

=@;

=4;

-2;

=-;

42;

4@;

=;

4+;

10;

2;

1;

5rive !rowt 7reate new reven&e streams

Trans fo rm /&s in es s Bone o f t e a/ove


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7o&ld or!anisations /e doin! more to drive /&siness !rowt'

Figure 1!: $5o "o& tink "o&r or!anisation is doin! eno&! to drive /&siness !rowt tro&!innovation tanks to insi!ts !ained from information'( Asked of all respondents (200) brokendown by whether they !urrently mine untapped intelligen!e or not

:nl" *; of respondents stron!l" a!ree tat teir or!anisation is doin! eno&! to driv/&siness !rowt tro&! innovation tanks to insi!ts !ained from informatio

ewer tan one in five ?1*; of tose wose or!anisation is c&rrentl" minin! stron!l" a!reetat teir or!anisation is doin! eno&! to drive /&siness !rowt, s&!!estin! tat te" ar

doin! well /&t te" co&ld still /e doin! more

:nl" *; of respondents stron!l" a!ree tat teir or!anisation is doin! eno&! to drive/&siness !rowt tro&! innovation tanks to insi!ts !ained from information

ewer tan one in five ?1*; of tose wose or!anisation is c&rrentl" minin! stron!l" a!reetat teir or!anisation is doin! eno&! to drive /&siness !rowt, s&!!estin! tat te" are

doin! well /&t te" co&ld still /e doin! more

Tota l 7&rrentl" minin! &ntapped inte lli!ence Bot c&rrentl" minin! &n

; 0; *;

2@;1;

,4;

40;

,@;

40;

20;

,0;

1=;*;

1*;,;

1 - do not a!ree at all 2 , 4 - stron!l" a!ree


21/27

)itaci 5ata 6"stems 7orporation 2014# All ri!ts reserved# )itaci 5ata 6"stems 7

3. Issues "ith

unta##edinte$$igen%e&in

ion

A i ti t li it t d t '


22/27


Are or!anisations str&!!lin! wit too m&c data'

Figure 20: $" or!anisation is c&rrentl" drownin! in data( Askedof all respondents (200) broken down by whether they

!urrently mine untapped intelligen!e or not

Figure 21: Analysis of those who agree tor do not agree at all that the8oards8 data'( (200 responde

@=; of respondents a!ree to some e9tent tat teiror!anisation is c&rrentl" drownin! in data

All respondents wose or!anisation c&rrentl" mines&ntapped intelli!ence a!ree te" are drownin! in data

to some e9tent

Tere ma" not /e a pro/lem, possi/l" C&st a lot ofdata# Are tose wo are minin! doin! so simpl" as a

mana!ement response to data vol&mes'

@=; of respondents a!ree to some e9tent tat teiror!anisation is c&rrentl" drownin! in data

All respondents wose or!anisation c&rrentl" mines&ntapped intelli!ence a!ree te" are drownin! in data

to some e9tent

Tere ma" not /e a pro/lem, possi/l" C&st a lot ofdata# Are tose wo are minin! doin! so simpl" as a

mana!ement response to data vol&mes'

@4; of respondents a!ree tat teoards data to some e9tent…

…te res&lts s&!!est tat or!anisa

drownin! in data /eca&se te" oatere co&ld /e val&e in te data t

@4; of respondents a!ree tat toards data to some e9tent…

…te res&lts s&!!est tat or!anis

drownin! in data /eca&se te" otere co&ld /e val&e in te data t

4; 0; ;

2,;

*;

2@;

,*;

,;

,*;

2*;

,;

2,;

10;22;

;

- stron!l" a!ree 4 , 2 1 - do not a!ree at all

=;

@4;

5o not a!ree at all A!

A t i i t d i d f t d i t lli t t d'


23/27


Are te insi!ts derived from &ntapped intelli!ence tr&sted'

Figure 22: $5o "o& tr&st te acc&racfrom &ntapped intelli!encwhose organisation is !urrintelligen!e ( responden

:nl" 1; of respondents wo c&rrentl" mine&ntapped intelli!ence do not tr&st te acc&rac"

of te insi!ts derived from it

:nl" 1; of respondents wo c&rrentl" mine&ntapped intelli!ence do not tr&st te acc&rac"

of te insi!ts derived from it

5oes tis s&!!est tat te sol&tions te" are &sin! to mine&ntapped intelli!ence are not as !ood as te" can /e'

5espite tis, almost nine in ten ?+*; do tr&st teacc&rac" of te insi!ts derived from teir minin! of

&ntapped intelli!ence

Tis s&!!ests tat te maCorit" of or!anisations wo areminin! &ntapped intelli!ence are confident tat teir

sol&tion can do so acc&ratel", amon! te oter /enefits we

ave seen tis !ro&p e9perience ?i!&res +, @ and 1+

5oes tis s&!!est tat te sol&tions te" are &sin! to mine&ntapped intelli!ence are not as !ood as te" can /e'

5espite tis, almost nine in ten ?+*; do tr&st teacc&rac" of te insi!ts derived from teir minin! of

&ntapped intelli!ence

Tis s&!!ests tat te maCorit" of or!anisations wo areminin! &ntapped intelli!ence are confident tat teir

sol&tion can do so acc&ratel", amon! te oter /enefits we

ave seen tis !ro&p e9perience ?i!&res +, @ and 1+

&t do emplo"ees ave te ri!t skills to mine&ntapped intelli!ence'

&t do emplo"ees ave te ri!t skills to mine&ntapped intelli!ence'

+

1;

Des Bo

5 l t i t kill d t i i t i


24/27


5o emplo"ees ave te ri!t skills and trainin! to mine&ntapped intelli!ence'

>&st &nder alf ?4+; of reswose or!anisation c&rrent&ntapped intelli!ence do nopeople in teir or!anisationskills and trainin!

Almost tree E&arters ?*;respondents wose or!anisc&rrentl" mine &ntapped int

consider teir collea!&es nonecessar" skills to do so

Te responses sow tat tintelli!ence ave evidentl" to make it a s&ccess, an or!cannot start doin! it wito&skills in place

>&st &nder alf ?4+; of rwose or!anisation c&rren&ntapped intelli!ence do npeople in teir or!anisatioskills and trainin!

Almost tree E&arters ?*respondents wose or!anic&rrentl" mine &ntapped i

consider teir collea!&es nnecessar" skills to do so

Te responses sow tat tintelli!ence ave evidentl"to make it a s&ccess, an ocannot start doin! it witoskills in placeFigure 23: $5o "o& /elieve tat people in "o&r or!anisation ave te

necessar" skills and trainin! to act on insi!ts !arnered from&ntapped intelli!ence'( Asked of all respondents (200) brokendown by whether they !urrently mine untapped intelligen!e or not

==; of respondents are notpeople in teir or!anisation necessar" skills and trainin!&ntapped intelli!ence insi!t

==; of respondents are nopeople in teir or!anisationnecessar" skills and trainin!&ntapped intelli!ence insi!

4; 2; 4;

,2;

1*;

,@;

,0;

2@;

,0;

22;

,,;

1+;

*; 1*;,;

; 2; =;

5on8t know - stron!l" a!ree 4 , 2 1 - do not a!ree at all

7ompliance data protection3privac" and discovera/le data


25/27


7ompliance, data protection3privac" and discovera/le data

++; of respondents are worried to some e9tent tat if &ntapped intelli!ence is i!nored te" ma" fail tore!&lations# Tis s&!!ests tat te maCorit" not "et minin! &ntapped intelli!ence need to start soon

Tree E&arters of respondents ?*4; are concerned weter teir e9istin! data protection3data privac" of andlin! i! 5ata

@*; sa" tat data wen saved in an" form is a risk to some de!ree, incl&din! one in ei!t ?12; conss

++; of respondents are worried to some e9tent tat if &ntapped intelli!ence is i!nored te" ma" fail to are!&lations# Tis s&!!ests tat te maCorit" not "et minin! &ntapped intelli!ence need to start soon t

Tree E&arters of respondents ?*4; are concerned weter teir e9istin! data protection3data privac" sof andlin! i! 5ata

@*; sa" tat data wen saved in an" form is a risk to some de!ree, incl&din! one in ei!t ?12; consise

Figure 24: $Are "o& worried tat i!norin!&ntapped intelli!ence will lead to"o&r or!anisation failin! to adereto compliance re!&lations'( (200respondents)

Figure 25: $Are "o& concerned a/o&tweter "o&r e9istin! dataprotection3data privac" strate!iesare capa/le of andlin! i! 5ata

anal"tics'( (200 respondents)

Figure 26: $)ow srisk imand disrespon

1*;

42;1=;

2=;

Des, more concerned tan 12 monts a!o

Des, te same level of concern as 12

monts a!o

Des, alto&! less concerned tan 12

monts a!o

;

12;

1 - not a t a ll serio&

1;

0;

2+;

22;

+;

1 - do not a!ree at all 2 4

- stron!l" a!ree

In 6&mmar"


26/27


In 6&mmar"…

% Te limitations of IT, te approac to storin! and mana!in! information, and restrictionIT practices3processes are oldin! /ack /&siness !rowt in or!anisations

→ @; of respondents a!ree to some e9tent tat o&tdated IT practices3processes/ack teir or!anisation

% IT is considered a strate!ic asset to or!anisations, owever line of /&siness leaders neecloser wit teir IT collea!&es to set te IT strate!" to elp drive /&siness !rowt

→ :nl" 11; of respondents stron!l" a!ree tat te" ave adeE&ate access to F:

% Tree in five or!anisations are correlatin! information wit oter data sets, owever tor!anisations are not "et minin! &ntapped intelli!ence

→ Tose wo are not "et correlatin! information wit oter data sets feel te" areon an opport&nit" to !ain val&a/le /&siness intelli!ence

→

Aro&nd two in tree ?=; respondents /elieve &ntapped intelli!ence as te a!rowt in teir or!anisation

% 7&stomer data is considered to /e te most val&a/le data so&rce !enerated /" or!anisaccordin! to *; of respondents

% Jespondents< or!anisations are drownin! in data as well as oardin! it

→ Tere is a lack of skill and trainin! to act on insi!ts tat co&ld come from intermass of data, wit ==; not /elievin! teir collea!&es ave te skills

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