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November 2011 $99

Report ID: R3551111

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2012 BI and InformationManagement Trends Our 542 respondents say mobile, cloud computing and,

above all, analytics are making their mark within nearly every IT

category. That’s the case despite the fact that 63%worry

about data security in using SaaS/cloud-based BI/analytics and

47% foresee integration issues.

By Doug Henschen

reports. informationweek.com

http://reports.informationweek.com/index

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reports

3 Author’s Bio

4 Executive Summary

5 Research Synopsis

6 The 2012 Outlook for BI and Information Management

7 Advanced Analytics Defined

10 P&G Gets Predictive

13 BI on an iPad?

17 Cincinnati Zoo Goes Mobile

19 Warming Up to the Cloud

24 Parallels in Data Management

29 Appendix

Figures

6 Figure 1 Interest in BI Technologies

7 Figure 2 Factors Driving Interest in Cloud-Based

BI/Analytics

8 Figure 3 Factors Driving Interest in

Advanced Analytics

9 Figure 4 Extent of Technology Use for

Sharing BI/Analytic Insights

10 Figure 5 Extent of Information

Management Technology Use

11 Figure 6 Utilizing BI and Analytics

12 Figure 7 Impediments to Information

Management Success

13 Figure 8 User BI/Analytics Access

14 Figure 9 BI/Analytics Vendors

15 Figure 10 Information Management

Technologies in Use

16 Figure 11 Most Important BI/Analytics

Features

17 Figure 12 BI/Analytics Deployment

18 Figure 13 Barriers to Enterprisewide

BI/Analytics Adoption

19 Figure 14 Concerns With Cloud-Based

BI/Analytics


Social Network Analysis Technologies

21 Figure 16 Technologies Used to Share

BI/Analytic Insights

22 Figure 17 Utilizing BI and Analytics:

2012 vs. 2010

23 Figure 18 Implementation Goals

24 Figure 19 Consolidation Motivation


Master Data Management Systems


Cloud-Based Data Marts or Warehouses


NoSQL/Alternative Data Management

29 Figure 23 Current or Planned Use of

BI/Analytics Vendors

30 Figure 24 Job Title

31 Figure 25 Revenue

32 Figure 26 Industry

33 Figure 27 Size

CONT

ENTS

reports.informationweek.com

TABLE OF

November 2011 2

B I T r e n d s f o r 2 0 1 2



November 2011 3

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© 2011 InformationWeek, Reproduction Prohibited

reports


B I T r e n d s f o r 2 0 1 2Table of Contents

Doug Henschen is executive editor of InformationWeek, where hecovers the intersection of enterprise applications with informationmanagement, business intelligence and analytics. He previouslyserved as editor in chief of Intelligent Enterprise and he has coveredIT for the last 13 years of his 29-year career in publishing.

Doug HenschenInformationWeek Reports



November 2011 4

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Our InformationWeek 2012 Business Intelligence, Analytics and Information Manage-ment Survey shows the old practice of following the money—using lagging financial in-dicators to guide a company’s decisions—giving way to the forward-looking approach offollowing the data. Organizations are gathering, managing and analyzing not only moreinformation but more types of information, all with the idea of using advanced predictiveand statistical analytics to improve internal operations, get closer to customers, sell andmarket products more effectively across physical and digital commerce channels, andoutperform the competition.Other top-line trends: Slightly fewer respondents have standardized on one or a few

BI/analytics products deployed throughout the company vs. our previous survey. Just 8%give all employees access to BI/analytics data. And the number of respondents citingdata-quality problems as a barrier to adopting BI/analytics products enterprisewide fellnine points, to 46%.

EXECUTIVE


reports

SUM

MAR

Y




November 2011 5reports.informationweek.com

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RESEARCH

Survey Name InformationWeek 2012 Business Intelligence, Analytics and InformationManagement Survey

Survey Date October 2011

Region North America

Number of Respondents 542

Purpose To examine adoption trends and strategies around business intelligence, analytics and information management.

Methodology InformationWeek surveyed business technology decision-makers atNorth American companies. The survey was conducted online, and respondents were re-cruited via an email invitation containing an embedded link to the survey. The email invi-tation was sent to qualified InformationWeek subscribers.

reports

SYNO

PSIS


ABOUT US

InformationWeek Reports’

analysts arm business technol-

ogy decision-makers with real-

world perspective based on

qualitative and quantitative re-

search, business and technology

assessment and planning tools,

and adoption best practices

gleaned from experience.

To contact us, write to manag-

ing director Art Wittmann at

[email protected],

content director LornaGarey at [email protected],

editor-at-large AndrewConry-Murrayat [email protected], and

research managing editor

Heather Vallis at

[email protected].

Find all of our reports at




November 2011 6

Name a technology category—applications,middleware, hardware, services—and you’relikely to spot new mobile, cloud-based and

analytic offerings. Our InformationWeek Re-ports 2012 Business Intelligence, Analytics andInformation Management Survey shows mo-

bility and cloud trends are also making theirmark in these important, data-centric cate-gories. As we learned from the 542 businesstechnology professionals who responded toour October 2011 survey, mobile interfacesaimed at easing and spreading access to BIand analytic insights are very much in de-mand, with 44% of BI and analytics profession-als now planning to add such smartphone-and tablet-based options. Cloud computing is, of course, one of the

hottest topics in the IT industry in general.But as the de facto data stewards of the en-terprise, BI and information managementprofessionals have had reserva tions aboutmixing internal data and this relatively newcomputing paradigm. Concerns are still there,mainly about data security and data-integra-tion between on-premises systems andcloud-based infrastructure, but this year’s sur-vey shows that resistance is ebbing and ITprofessionals are giving cloud-based BI,analysis and information management seri-ous consideration.

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Please rate the level of interest within your organization in the following leading-edge BI technologies. Please use a scale of 1 to 5, where 1 is "not interested" and 5 is "extremely interested."

Interest in BI Technologies

Note: Mean average ratings Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analytics or statistical analysis software Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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2012 2011

Adva

nced

ana

lytic

s (pr

edict

ive/

stat

istica

l ana

lysis

, etc

.)

Exce

ptio

n m

anag

emen

t

Adva

nced

dat

a vi

sual

izatio

n ca

pabi

litie

s

Embe

dded

BI

Colla

bora

tive

BI

Anal

ysis

of b

ig d

ata,

par

ticul

arly

uns

truc

ture

d/no

nrel

atio

nal d

ata

Inte

rnet

-sty

le q

uery

ing

In-m

emor

y BI/a

naly

tics

Mob

ile B

I

Soft

war

e-as

-a-s

ervi

ce/c

loud

com

putin

g-ba

sed

BI/a

naly

tics

Socia

l med

ia/s

ocia

l net

wor

k an

alys

is

3.7 3.

8

3.6 3.

7

3.6

3.6

3.6

3.6

3.4 3.

6

3.4

N/A

3.3 3.

4

3.3 3.

4

3.1

3.1

2.8

2.7

2.6

2.6

1 No

t im

port

ant

Very

impo

rtan

t 5


The 2012 Outlook for BI and Information Management

reports B I T r e n d s f o r 2 0 1 2Table of Contents

Figure 1



November 2011 7

But if there’s one uber trend dominating theBI and information management domain, it’sthe continuing rise in importance of analytics,

particularly advanced statistical and predictiveanalytics. For the third year in a row, survey re-spondents rated advanced analytics as the

most compelling among a dozen leading-edge technologies. Once an elite niche withinthe larger BI market, analytics has become theproverbial tail wagging the dog, with vendorsand practitioners alike making analytic capa-bilities and initiatives their top priority. Thetrend goes hand in hand with rising informa-tion management interest in using large datasets (also known as ”big data“) to foresee risk,anticipate customer demand, and formulatemore successful product and service offerings.

Advanced Analytics DefinedThere’s good reason for all the interest in an-

alytics; it’s a technology that can help you pre-dict customer needs and wants, optimize fac-tory output to be in tune with changingmarket conditions, circumvent imminent sys-tem outages or equipment failures, mitigatefinancial risks, or formulate winning pricingstrategies. Name a business scenario, and ad-vanced analytic techniques can likely be ap-plied to make better, preemptive decisionsrather than reacting to unanticipated prob-lems or failures later.

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What factors are driving, or would drive, your organization's interest in software-as-a-service/cloud computing-based BI/analytics?

Factors Driving Interest in Cloud-Based BI/Analytics

Note: Multiple responses allowed Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analytics or statistical analysis software Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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2012 2011

Low

ove

rall

cost

Min

imal

nee

d fo

r IT s

taff/

supp

ort

Low

initi

al co

st

Rapi

d de

ploy

men

t

Easy

way

to su

ppor

t mul

tiple

loca

tions

and

/or m

obile

/rem

ote

user

s

Prov

ides

bet

ter c

apab

ilitie

s tha

n co

nven

tiona

l sof

twar

e

Prov

ides

dat

a m

anag

emen

t inf

rast

ruct

ure

we

lack

We

use

SaaS

/clo

ud o

ptio

ns w

here

ver p

ossib

le

Othe

r

SaaS

/clo

ud-b

ased

BI/a

naly

tics a

re n

ot cu

rrent

ly

of in

tere

st to

my o

rgan

izatio

n

55%

31%

46%

36% 39

%24

%

38%

33% 36

%21

%

27%

12%

19%

10%

7%

3%

16%

5%

2%

36%

FAST FACT

55%of our survey respondents say

lower overall cost drives

interest in cloud-based

BI/analytics.



Figure 2



That’s the key contrast with what is nowsometimes disparagingly dubbed “rear-view-mirror BI.” Whereas business intelligence haslong been associated ad hoc query, analysisand reporting—activities that explore and,perhaps, extrapolate based on historicaldata—advanced analytics apply statistical andpredictive algorithms to come up with calcu-lated, predictive measures, scores or models.Your level of sophistication on the spectrum

between BI and advanced analytics is usuallythe difference between reactive and proac-tive decision-making. Summary statistics,queries, reports, and even threshold-triggeredalerts and low-latency dashboards based onhistorical information are rear-view mirror. It’sa picture of where you’ve been. There is a mid-dle ground of simple analytics whereby trend-ing or algebraic predictions might give yousome idea of what to expect in terms of pro-duction or sales. Advanced analytics are far more sophisti-

cated, supporting techniques such as statisti-cal analysis, forecasting, correlation and pre-diction. Where trend analysis will simply

extrapolate last quarter’s sales velocity intothe next quarter, a sophisticated predictivemodel might take into account seasonality,

historical sales patterns and correlations be-tween strong and weak quarters, even the ef-fects of weather or macroeconomic condi-

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2012 2011

What factors are driving, or would drive, your organization's interest in using advanced analytics?

Factors Driving Interest in Advanced Analytics

Desire to optimize business operations

Desire to predict promising new business opportunities

Desire to identify business risk

Need to stay in compliance with laws or regulatory requirements

Other

Advanced analytics are not a priority for my organization


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73%75%

46%49%

45%52%

38%31%

2%2%

12%15%



Figure 3

November 2011 8



November 2011 9

tions. Yes, some pretty sophisticated prebuiltalgorithms can be built into applications andanalysis tools, but advanced analytics ismostly a matter of domain- and company-specific work that is taken on by data model-ers and statisticians, many with PhD-leveltraining.With so many vendors now painting them-

selves as analytics specialists, the distinctionbetween the conventional BI and advancedanalytic markets is getting increasinglyblurry. IDC sales figures for 2010 cast SAPBusiness Objects, IBM (mostly Cognos), Ora-cle, Microsoft and SAS, in that order, as theleaders in BI query, analysis and reportingtools. The leading commercial providers ofadvanced analytic tools, meanwhile, are SAS,IBM (mostly SPSS), Microsoft, FICO and Tibco(Spotfire), in that order, though it should benoted that the open source R community,which has several commercial promoters andsupport providers, has a large and growingpresence in advanced analytics.Your deepest data pros know the difference

between simple and advanced analytic tech-

niques because the hardest and most prizedinsights—the ones that drive true competi-tive advantage—usually require a lot of

blood, sweat and tears. Getting predictive andproactive is hard work, at least for the initialtechnology setup and change in cultural ap-

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To what extent are the following technologies used to share BI/analytic insights within your organization?

70% 21% 7%

60% 27% 9%

31% 37% 23%

30% 42% 24%

25% 39% 24%

24% 36% 20%

17% 43% 28%

5% 20% 44%

Used extensively Used on a limited basis Planned use

Spreadsheets/Microsoft Excel

Reports (formatted PDF/HTML sent by email or accessed online)

Query and analysis software (e.g., in-memory what-if planning, OLAP cubes, etc.)

Dashboards (drillable/interactive data-visualization interfaces)

Scorecards (comparing performance to predefined goals)

Alerts (email, SMS, etc., for exceptions/thresholds)

Embedded BI (charts/data visualizations within business apps or portals)

Mobile (smartphone- or tablet-based) dashboards/data visualizations

Base: 414 respondents using or planning to deploy BI, data analytics or statistical analysis softwareData: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology professionals, October 2011

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Extent of Technology Use for Sharing BI/Analytic Insights



Figure 4



November 2011 10

proach, but it generally produces break-through results.

P&G Gets PredictiveProctor & Gamble has bought into the pre-

dictive imperative in a big way. The goal of anearly two-year-old Business Sufficiency pro-gram at P&G has been to enable executives topredict market share and other performanceindicators six to 12 months out. Using SAStools for statistical analysis, the company de-veloped dozens of analytic models to assessproduction, shipments, sales and marketshare; sales trends by country, territory, prod-uct line, chain and store; media and advertis-ing activities; and regional and country-spe-cific economic conditions. These analytic models are predictive and ex-

ception-oriented, so they help executives seeinto the future and address looming prob-lems with production, sales, distribution, mar-keting or merchandising performance beforethey lead to actual financial shortfalls. As oursurvey shows, BI and analytics professionalsare looking beyond financial analysis (already

being done by 74% of respondents), andthey’re adding or planning to add process op-timization (40%), customer-relationship

(36%), risk analysis (34%) and forecasting(32%) measures to the mix. A key point here is that financial analysis is

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36%

14%

22%

35%

11%

26%

31%

16%

21%

30%

12%

33%

16%

18%

30%

15%

17%

12%

14%

21%

18%

10%

15%

16%

6%13

%13

%

6%19

%17

%

6%18

%15

%

5%19

%12

%

3%12

%11

%

On-p

rem

ises d

ata

mar

t(s)/d

ata

war

ehou

se(s

)

On-p

rem

ises d

ocum

ent/

reco

rd re

posit

ory

Data

inte

grat

ion

soft

war

e (E

TL)

Docu

men

t im

agin

g/ca

ptur

e (s

cann

ing

and

optic

al ch

arac

ter r

ecog

nitio

n)

Data

-cle

ansin

g/da

ta-q

ualit

y too

ls

High

-sca

le d

ata

mar

t/da

ta w

areh

ouse

syst

ems

supp

ortin

g m

assiv

ely p

aral

lel p

roce

ssin

g

Mas

ter d

ata

man

agem

ent s

yste

ms/

soft

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Com

plex

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Clou

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Clou

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data

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Hado

op o

r oth

er n

onre

latio

nal (

"NoS

QL")

pro

cess

ing

plat

form

s

To what extent are the following systems/technologies used within your organization?

Used extensively Used on a limited basis Planned use

Base: 431 respondents involved with information management technologiesData: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology professionals, October 2011

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Extent of Information Management Technology Use



Figure 5



November 2011 11

an after-the-fact measure of performance,whereas improving operational processes(such as manufacturing and distribution), fo-cusing on customer satisfaction, reducing riskand doing a better job of forecasting givesyou an opportunity to do something aboutfuture performance. P&G analytic models are delivering such

measures, and the key performance indicatorsthey serve up are shared with executives andmanagers through dashboards, charts andeasy-to-read data visualizations renderedthrough Tibco Spotfire software. Predictionsare revised and refined as each next monthand quarter approaches and actual perform-ance data rolls in; the range of possible out-comes naturally narrows as the projected pe-riod gets closer. P&G analysts don’t just offer one prediction

for each model; they scope out the range-of-performance possibilities so managers candevise backup plans in case expectationsdon’t hold up. And as the current quarter andnext quarter approach, executives turn to yetanother set of analytic models that help them

decide on actions, such as changing pricing,doing more advertising, revamping merchan-dising or rebalancing plans to promote the

products that are selling well while deempha-sizing those that aren’t. Once again, what-if scenario planning is

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74%

19%

68%

21%

59%

32%

55%

19%

45%

36%

43%

40%

38%

29%

37%

31%

35%

27%

30%

34%

28%

30%

24%

26%

Fina

ncia

l ana

lysis

Busin

ess-

activ

ity m

onito

ring

Fore

cast

ing

Sale

s tra

ckin

g

Cust

omer

rela

tions

hip

man

agem

ent

Oper

atio

nal p

roce

ss o

ptim

izatio

n

Com

petit

ive

anal

ysis

Corp

orat

e go

vern

ance

Prod

uct m

arke

ting

Risk

man

agem

ent

Prod

uct d

evel

opm

ent

Frau

d pr

even

tion

How do you utilize or plan to utilize business intelligence/analytics?

Current use Planned use


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Utilizing BI and Analytics

FAST FACT

40%of respondents are

adding or plan to add

process optimization to

their BI/analytics mix.



Figure 6



November 2011 12

baked into the analytic process, so managerscan see all impacts. In its most recent quarter,for example, P&G increased prices to make upfor manufacturing commodity cost increases.Profits held up as a result of those actions, butthe company reported (and clearly knew toexpect) market share slippage in certain ar-eas. In a tough economy, there’s only so muchyou can do, even with early proactive action,to maintain all aspects of performance.Before the Business Sufficiency program,

P&G managed by trying to pull together re-ports and correlate information out of a se-ries of reporting silos. Individual country andproduct-line managers could see their ownperformance, but developing cross-enter-prise comparisons and goals required labor-and time-intensive data manipulation andanalysis. Supporting infrastructure for data gathering

and data mining has helped synthesize dataanalysis, and the resulting advanced analyticshave helped P&G get to a holistic, forward-looking view. “The key business benefit is thespeed of decision-making,” says Guy Peri,

head of P&G’s business analytics unit. Deci-sions that used to require as long as a monthof data-gathering and research can now be

made within a day, Peri says. It’s a textbook,best-practice case of using predictive insightto move toward proactive action.

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With your organization's experience in mind, what are your organization's biggest impediments to success related to information management?

Impediments to Information Management Success

Note: Multiple responses allowed Base: 431 respondents in October 2011 and 302 respondents in September 2010 involved with information management technologiesData: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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2012 2011

Acce

ssin

g re

leva

nt, t

imel

y or r

elia

ble

data

Inte

grat

ing

data

(e.g

., ext

ract

, tra

nsfo

rm, lo

ad o

r dat

a fe

dera

tion)

Clea

nsin

g, d

edup

ing

or e

nsur

ing

cons

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Copi

ng w

ith ra

pidl

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reas

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volu

mes

of d

ata

and/

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t

Mai

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ning

relia

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and

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arts

/war

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Orga

nizin

g an

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aint

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ata

mod

els a

nd/o

r tax

onom

ies

Acce

ssin

g/m

anag

ing

cont

ent s

uch

as W

ord

files

, em

ail m

essa

ges a

nd p

rese

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ions

Redu

cing

data

late

ncy a

nd su

ppor

ting

fast

er d

ecisi

on m

akin

g

Extr

actin

g da

ta/t

rans

actio

nal i

nfor

mat

ion

from

pap

er-b

ased

form

s and

doc

umen

ts

Proc

essin

g hi

gh-v

eloc

ity d

ata

stre

ams

Othe

r

59%

59%

46% 49

%

41%

51%

40%

30%

37%

37%

32% 33%

28%

24% 25%

24%

10%

26%

24%

10%

3%6%

Figure 7



November 2011 13

Analytics is also making its mark in informa-tion management, an arena in which so-calledbig data is radically changing database plat-forms and infrastructure for data processingand analysis.

BI on an iPad?Whether it’s a “rear-view-mirror” report, a

real-time dashboard or a forward-looking an-alytic projection, BI and analytics professionalstell us they’re eager to consume that informa-tion through mobile BI interfaces. For now,mobile BI is the least-used means of sharingBI and analytic insights, used extensively byonly 5% and on limited basis by only 20% ofour respondents. However, a whopping 44%of respondents say they’re planning to addmobile BI interfaces—the highest planned-use percentage by far among eight BI tech-nologies discussed.Are these respondents simply going along

with the mobile mania of the times? Indeed,it seems there’s no category of technologythat hasn’t been swept up in the smartphoneand tablet craze. BI, analytics and information

management are no different. BI-specific mo-bile options, like Cognos Go Mobile, startedshowing up as early as 2006, and it seems like

every year vendors are introducing new ver-sions promising better usability and compat-ibility with the latest devices.

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Which of the following users have access to or utilize BI/analytics today?

User BI/Analytics Access


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2012 2011

Busin

ess a

naly

sts

IT m

anag

emen

t

C-le

vel c

orpo

rate

exe

cutiv

es (i

nclu

ding

VPs

)

Fina

ncia

l man

ager

s

Line

-of-b

usin

ess m

anag

ers

Know

ledg

e w

orke

rs

Sale

s for

ce

Cust

omer

-ser

vice

reps

Cust

omer

s

Exte

rnal

supp

liers

/par

tner

s

All e

mpl

oyee

s

Ever

y em

ploy

ee a

nd p

artn

er

75% 81

%

65% 67

%

58% 61

%

52%

63%

52% 55

%

50% 52

%

28% 32

%

24%

12%

6% 8%

25%

16%

11%

12%

2% 2%

Figure 8



When Apple singlehandedly established thetablet as a new must-have mobile-deviceform factor with the launch of the iPad in2010, early BI adopters included vendors Mi-croStrategy, Pentaho, QlikTech and third-partyindependent MeLLmo, maker of the Roambiplatform. In 2011, it seems every other BI ven-dor jumped on the iPad bandwagon, with Ac-tuate, IBM Cognos, InformationBuilders,Jaspersoft, LogiXML, Oracle, SAP BusinessOb-jects, SAS, Tableau and Tibco Spotfire intro-ducing new or improved iPad (and, in somecases, Android tablet) apps or browser-basedinterfaces.The wave of new would-be iPad competi-

tors, the continuing evolution of smartphonesand the emergence of HTML5, in particular, in2011, have given rise to a bit of soul-searchingon the part of BI and other vendors. The ques-tion became, “Should we continue to developdevice- and mobile-operating-system-nativemobile apps at great expense, or should welook to standards to ease the developmentburden?”The promise of HTML5 is to be able to write

Web-based applications once and deliver

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Are you using, planning to use or evaluating BI/analytics products from the following vendors?

Currently using

46%

32%

29%

25%

21%

18%

16%

10%

8%

6%

5%

5%

3%

3%

3%

2%

2%

2%

2%

2%

2%

2%

1%

1%

0%

Planning to use

7%

6%

5%

6%

2%

6%

4%

5%

3%

3%

1%

2%

2%

2%

2%

1%

0%

3%

3%

2%

2%

2%

1%

1%

2%

Evaluated, but not selected for use

8%

10%

11%

8%

12%

8%

8%

7%

8%

7%

8%

7%

6%

5%

5%

5%

4%

4%

5%

6%

3%

3%

6%

5%

5%

Currently evaluating

15%

6%

10%

15%

7%

7%

6%

6%

9%

3%

8%

7%

4%

2%

5%

4%

2%

0%

3%

4%

2%

4%

4%

1%

3%

BI/Analytics Vendors


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Microsoft

SAP BusinessObjects

Oracle (including Hyperion and Siebel)

IBM Cognos (including TM1)

SAS

SAP BusinessObjects On-Demand (Crystalreports.com)

IBM SPSS

MicroStrategy

Tableau

Actuate

Information Builders

QlikTech

Tibco Spotfire

Adaptive Planning

Cloud9 Analytics

Host Analytics

Indicee

Arcplan

Deloitte/Oco

Birst

myDials

Pentaho

Jaspersoft

PivotLink

Panorama

Figure 9

November 2011 14



November 2011 15

them across a variety of mobile platforms anddevices without native development work.HTML5 is now supported by most late-model

smartphones and tablets. When Web appswritten in HTML5 recognize that they’re beingdelivered on a mobile device rather than a

desktop or laptop, the idea is that they’ll losethe mouse-oriented scroll bars and switch todevice-native pinch, flip, swipe and otherforms of gesture-based navigation.There are still limits to the device-native ca-

pabilities supported by HTML5. For example,access to the camera function on various mo-bile devices is usually lacking. But HTML5 doessupport software containers that enable de-velopers to fill the few remaining gaps infunctionality required on popular devices.Over time, the gaps will close, and in themeantime, HTML5 gives developers a bighead start on developing for an array of plat-forms and devices. Sensing the future (and likely facing a new

round of native app development), early iPadadopter QlikTech switched gears in early 2011and embraced a device-neutral, Web-basedapproach relying on HTML5. But don’t expectBI and analytics vendors to drop native iPadapps that were only recently introduced.Rather, over the next few years, we expectcontinued maturation of HTML5 and a widerembrace of the standard for smartphone and

Previous Next



Which of the following systems/technologies are used within your organization?

Information Management Technologies in Use

Note: Percentages reflect a response of "used extensively" or "used on a limited basis" Base: 431 respondents in October 2011 and 302 respondents in September 2010 involved with information management technologies Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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2012 2011

Docu

men

t im

agin

g/ca

ptur

e (s

cann

ing

and

optic

al ch

arac

ter r

ecog

nitio

n)

On-p

rem

ises d

ocum

ent/

reco

rd re

posit

ory

On-p

rem

ises d

ata

mar

t(s)

/dat

a w

areh

ouse

(s)

Data

inte

grat

ion

soft

war

e (E

TL)

Data

-cle

ansin

g/da

ta-q

ualit

y too

ls

Mas

ter d

ata

man

agem

ent s

yste

ms/

soft

war

e

High

-sca

le d

ata

mar

t/da

ta w

areh

ouse

syst

ems

supp

ortin

g m

assiv

ely p

aral

lel p

roce

ssin

g

Com

plex

eve

nt-p

roce

ssin

g te

chno

logy

Data

fede

ratio

n so

ftw

are

Clou

d-ba

sed

docu

men

t/re

cord

repo

sitor

y

Trick

le fe

ed/c

hang

e da

ta ca

ptur

e te

chno

logi

es

Clou

d-ba

sed

data

mar

t(s)

/war

ehou

ses

Hado

op o

r oth

er n

onre

latio

nal (

"NoS

QL")

pro

cess

ing

plat

form

s

63%

69%

61%

69%

58%

70%

52%

68%

46%

59%

32%

30%

27%

36%

26%

23%

21%

19%

28%

27%

18% 20

%

17%

13%

14%

N/A

Figure 10



November 2011 16

tablet-based access to BI and analytics.Why are so many organizations planning to

deploy mobile BI? For one thing, it’s a devel-

opment that promises to help crack the long-standing gap in BI access and usability. Formany years, BI advocates have championed

the idea of democratizing BI, taking it out ofthe ivory tower (meaning out of the hands ofthe few analysts and top executives) and shar-ing insights with knowledge workers at everylevel of an organization. Yet, BI deploymentsgenerally don’t reach much beyond 25% ofpotential users, on average.

InformationWeek has been tracking the bar-riers to BI adoption for years, and significantobstacles remain. Data quality problems, re-ported by 46% of respondents, is the top im-pediment, but encouragingly, there was anine-point drop in citations of this problem.Those mentioning ease-of-use challenges,meanwhile, actually increased by five points(the only statistically significant increaseamong the list of options provided to respon-dents), making it the second most-cited ob-stacle to broad use of BI.Given the small-screen real estate of smart-

phones and even tablets, mobile BI apps havegenerally forced a fresh and much-simplifiedapproach to sharing BI and analytics. Thepoint is not that enterprises should count on

Previous Next

Which of the following features are most important when purchasing BI/analytics software or selecting a BI/analytics vendor?

Most Important BI/Analytics Features


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2012 2011

Ease

of i

mpl

emen

tatio

n

Prov

ides

fast

dat

a ex

plor

atio

n, q

uery

and

ana

lysis

capa

bilit

ies

Abili

ty fo

r use

rs to

shar

e an

d co

llabo

rate

Ease

of u

se

Abili

ty to

colle

ct a

nd a

naly

ze o

pera

tiona

l dat

a in

real

tim

e

Abili

ty to

inte

grat

e w

ith e

nter

prise

app

licat

ions

such

as E

RP a

nd C

RM

Prov

ides

out

put t

o a

broa

d ra

nge

of fo

rmat

s

Prov

ides

seam

less

dat

a/ap

plica

tion/

busin

ess p

roce

ss in

tegr

atio

n

Abili

ty to

inte

grat

e w

ith d

eskt

op a

pplic

atio

ns

Prov

ides

bro

ad a

rray

of d

ata

visu

aliza

tions

Abili

ty to

resp

ond

to e

vent

s and

pro

vide

nea

r-re

al-t

ime

data

upd

ates

Abili

ty to

pre

dict

cust

omer

beh

avio

r, ris

k or

bus

ines

s out

com

es

Brea

dth

of p

rodu

ct o

fferin

g an

d po

tent

ial t

o co

nsol

idat

e

63% 65

%

62%

69%

59%

53%

51%

57%

51%

46% 50

%51

%

47% 51

%

45% 47

%

42%

43%

41% 46

%

37%

31%

30%

28%

21% 26

%



Figure 11



November 2011 17

clean-sheet mobile-BI interfaces to deliverdashboards, reports and query capabilities todesk-bound employees. But assuming they’re truly simplified and

easier to use, these mobile BI interfaces willpromote wider and more frequent use by ex-ecutives, managers, salespeople and fieldservice personnel on the go.

Cincinnati Zoo Goes MobileManagers and decision-makers at the

Cincinnati Zoo and Botanical Gardens mightturn up anywhere on the institution’s 75-acrecampus. That’s one reason the zoo is usingIBM’s Cognos Mobile software for the iPad. Re-leased in October, the native iPad and iPhoneapp lets managers, whether they’re in meet-ings or on the grounds, bring together salesand attendance data and make decisions toimprove the visitor experience. In 2010, the zoo implemented Cognos BI

software as part of a sweeping point-of-sale(POS) overhaul and systems integration proj-ect. Membership, admissions and retail saleswere previously handled on separate POS

systems that didn’t talk to one another, and16 food service locations were running onunconnected cash registers. These discon-nects made tracking and correlating rev-enue-generating activities a laborious,

weekly spreadsheet process. A unified systemdeployed in 2010 linking all 51 POS locationsacross the campus provides unified, real-timeinformation.The new system yielded a treasure trove of

Previous Next

2012 2011

Which of the following best describes the way your company deploys, or plans to deploy, BI and analytics technologies?

BI/Analytics Deployment

We have standardized on one or a few BI/analytics products

We deploy BI/analytics on a project-by-project basis

We have many BI/analytics products

We deploy BI/analytics as part of other technology initiatives

None of the above

Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analytics or statistical analysis softwareData: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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41%47%

22%20%

17%17%

17%14%

3%2%



Figure 12



November 2011 18

data, and the zoo put IBM Cognos software towork to correlate attendance and purchasingpatterns. A big focus of that effort is on cus-tomer segmentation and marketing projects.

That’s insight managers can use for email anddirect mail campaigns in which they sendcoupons and offers to zoo members, loyaltycard holders and other known customers

based on past purchase patterns. Predictive capabilities supported in Cognos

now help managers plan staffing, retail mer-chandize buying, and food and beveragestocks to have on hand based on historical at-tendance patterns and weekly weather fore-casts. A beautiful three-day Fourth of Julyweekend with temperatures in the mid 80s,for instance, would call for far differentstaffing and ordering decisions than a cold fallweekend.With iPads in hand, zoo managers can now

make more decisions on the fly. Seeing emptyshelves, retail managers might check on in-ventory and reorder sold-out goods. Seeinglong lines at food stands near a special attrac-tion, food and beverage managers mightcheck staffing plans and reassign employeesaccordingly. Seeing spikes or shortfalls in at-tendance, managers might also review andadjust staffing plans before the next shiftshows up for work. Labor is the biggest costvariable for the zoo, so the savings can be sig-nificant if staffing levels are better in tunewith actual need.

Previous Next

What are the barriers to adopting BI/analytics products enterprisewide?

Barriers to Enterprisewide BI/Analytics Adoption


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2012 2011

Data

qua

lity p

robl

ems

Ease

-of-u

se ch

alle

nges

with

com

plex

so

ftw

are/

less

-tec

hnica

lly sa

vvy e

mpl

oyee

s

Inte

grat

ion/

com

patib

ility

issu

es w

ith e

xist

ing/

mul

tiple

pla

tform

s

Chal

leng

es sc

alin

g th

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chno

logy

acr

oss t

he e

ntire

org

aniza

tion

Chal

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ettin

g co

nstit

uent

s to

agre

e on

stan

dard

ized

prod

uct(

s)

Soft

war

e lic

ense

s are

too

expe

nsiv

e

No cl

ear R

OI

BI/a

naly

tics t

alen

t is t

oo e

xpen

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to h

ire

Trai

ning

inte

rnal

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f too

tim

e-in

tens

ive

and

cost

ly

Over

lap

with

oth

er p

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cts

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ndus

try s

tand

ards

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eed

for B

I cap

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ties t

hrou

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t our

ent

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ise

Low

er-t

han-

expe

cted

ana

lytic

valu

e

Othe

r

None

46%

55%

45%

40%

40%

40%

40%

38%

37%

36%

31% 33

%

29% 32

%

27%

23%

17%

14%

27%

27%

18%

11%

10%

8% 9%

5%

10%

6%

4%7%



Figure 13



November 2011 19

Warming Up to the CloudAs was the case in last year’s BI and Informa-

tion Management Survey, software-as-a-ser-vice-based BI came in next to last among theleading-edge technologies we asked partici-pants to rate on a one-to-five scale, with onemeaning “not interested” and five meaning“extremely interested.” That said, the percentof respondents rating their interest in SaaS-based BI a 4 or 5 increased four points overlast year—from 28% to 32%.More significantly, when we asked survey re-

spondents specifically about factors thatwould drive adoption of cloud-based BI andanalytics, they showed much higher interestacross all factors, including low overall cost(55% vs. 31% last year), minimal need for ITsupport (46% vs. 36% last year) and low initialcost (39% vs. 24% last year).And in the biggest sign that IT pros are

warming to the possibility of using cloud-based BI and analytics, just 16% reported thatthis category is not currently of interest totheir organizations, whereas that figure was36% in last year’s survey.Still, cloud advocates shouldn’t rejoice just

Previous Next

FAST FACT

32%of respondents say they

have a significant interest in

SaaS-based BI.



2012 2011

What are your primary concerns about or barriers to using SaaS/cloud-based BI/analytics?

Concerns With Cloud-Based BI/Analytics

Data security/privacy concerns

Data integration challenges

Cost concerns (total expense of subscription over time)

Vendor lock-in

Inability to customize

Lack of required features or capabilities

Other

I have no concerns about using SaaS/cloud-based BI/analytics


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63%65%

47%43%

43%31%

35%38%

32%32%

23%22%

4%4%

10%13%

Figure 14



yet, as significant barriers to adoption remain.Data security and privacy (63%), for example,remained the top concern, while data-integra-tion challenges (47%) and ongoing subscrip-tion-cost concerns (43%) loomed larger thisyear than in last year’s survey. It’s tough toread respondents’ minds, but the silver liningin this black cloud might be that security andprivacy may well be more of a knee-jerk com-plaint, whereas integration and cost objec-tions might be based on more actual investi-gation of available options and deploymentchallenges.The options for cloud-based BI and analytics

showed signs of change in 2011, and this maybode well for future adoption. Until recently,most top BI software vendors have not of-fered cloud-based BI or analytics. And the fewthat have offered such services have tendedto focus on subsets of their on-premises func-tionality (as in the case of SAP BusinessOb-jects BI OnDemand) or select industry- orproblem-specific applications (as in the caseof SAS hosting of conventionally licensedsoftware). Meanwhile, none of the dedicated

Previous Next

2012 2011

What factors drive/would drive, your interest in social media/social network analysis technologies?

Factors Driving Interest in Social Network Analysis Technologies

Competitive intelligence

Customer behavior analysis

Brand/product/reputation management

Customer service

Customer segmentation

Compliance

Other

Social media/social network analysis technologies are not a priority for my organization


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34%31%

32%29%

31%24%

27%29%

26%22%

19%14%

1%0%

42%49%

R

FAST FACT

63%of respondents ay they

have concerns with data

security/privacy for

cloud-based BI/analytics.



Figure 15

November 2011 20



November 2011 21

software as a service (SaaS) providers—a fieldincluding (in order of use by survey respon-dents) Cloud9 Analytics, Indicee, Deloitte/Oco,Birst, MyDials and PivotLink among SaaS-BIvendors, and adaptive planning and host an-alytics among SaaS-performance manage-ment—have really broken out of the pack interms of customer deployments.What changed in 2011? The direction of

some BI powerhouses, with IBM, SAP and Mi-croStrategy all delivering their on-premisessoftware through new public (and in somecases private) clouds. In April, IBM launched itsSmartCloud Enterprise, where the companynow makes IBM Cognos software availablewith cloud-style elastic scalability, meaningyou can add or drop storage, network accessand Internet data-transfer capacity.In May, SAP announced at its Sapphire user

conference that BusinessObjects would bedeployable in the cloud by way of Amazon’sElastic Compute Cloud (EC2), though licens-ing, subscription, support services and datesof availability had yet to be worked out. SAPhas had a SaaS-based BI OnDemand offeringfor several years.

Previous Next

2012 2011

Which of the following technologies are used to share BI/analytic insights within your organization?

Technologies Used to Share BI/Analytic Insights

Spreadsheets/Microsoft Excel

Reports

Dashboards

Query and analysis software

Scorecards

Alerts

Embedded BI

Mobile (smartphone- or tablet-based) dashboards/data visualizations

Note: Percentages reflect a response of "used extensively" or "used on a limited basis" Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analytics or statistical analysis software Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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91%93%

87%90%

72%75%

68%80%

64%67%

60%62%

60%71%

25%N/A



Figure 16



November 2011 22

In July, MicroStrategy followed IBM’s andSAP’s news with MicroStrategy Cloud, an in-frastructure service that will enable cus-tomers to spin up test-and-development, de-partmental or business-unit deployments, orlarge-scale BI systems on infrastructure run-ning in the company’s data centers. Licensingand costs were not detailed, but Sanju Bansal,MicroStrategy’s executive VP and chief oper-ating officer, said customers will be able torent capacity as needed with about 48-hours’notice. MicroStrategy, which built out its own data

centers at its Virginia headquarters and inLondon, does not sell databases—somethingyou always need to manage the data you planto explore—so the company partnered withIBM Netezza and independent database ven-dor ParAccel to run high-scale data martswithin the MicroStrategy Cloud. Data integra-tion vendor Informatica is another partner,contributing on-premises-to-cloud data inte-gration capabilities.Microsoft also deserves mention here in

that the SQL Azure platform offers SQL Server

analysis, integration and reporting service inthe cloud. The other elements of Microsoft BIare SharePoint and Office, which are available

through the cloud-based Office 365 service.And it’s a safe bet that Oracle will follow itscompetitors by bringing its on-premises BI

Previous Next

How do you utilize or plan to utilize business intelligence/analytics?

Utilizing BI and Analytics: 2012 vs. 2011

Note: Percentages reflect a response of "current use" or "planned use" Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analytics or statistical analysis software Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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2012 2011

Fina

ncia

l ana

lysis

Fore

cast

ing

Busin

ess-

activ

ity m

onito

ring

Oper

atio

nal p

roce

ss o

ptim

izatio

n

Cust

omer

rela

tions

hip

man

agem

ent

Sale

s tra

ckin

g

Corp

orat

e go

vern

ance

Com

petit

ive

anal

ysis

Risk

man

agem

ent

Prod

uct m

arke

ting

Prod

uct d

evel

opm

ent

Frau

d pr

even

tion

93% 95

%

91%

92%

89% 93

%

83%

79% 81

% 85%

74% 80

%

68%

69%

67%

64%

62%

58%

71%

70%

67%

59%

50%

51%



Figure 17



Enterprise Edition suite into the Oracle Cloud,announced at October’s Oracle Open World. The advantage BI mega vendors have in

bringing BI into the cloud is that they have

huge numbers of customers familiar with theirsoftware. Indeed, we’ve long followed our read-ers’ inclination to standardize on one or a fewBI suites and tools, and that remains the domi-

nant strategy for 2012, with 41% of respon-dents saying they’ve done just that. It’s notable,though, that standardization is slipping a bit,down six points from last year’s survey.

Previous Next

What are your company's goals for implementing BI/analytics solutions?

Implementation Goals


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2012 2011

Impr

ove

busin

ess p

lann

ing

Prov

ide

busin

ess r

epor

ting

tool

s

Shar

e in

form

atio

n w

ith e

xecu

tives

Mea

sure

and

man

age

inte

rnal

per

form

ance

Mon

itor a

nd sh

are

busin

ess p

erfo

rman

ce m

etric

s

Enab

le re

al-t

ime

info

rmat

ion

Expa

nd B

I to

mor

e pe

ople

thro

ugho

ut th

e or

gani

zatio

n

Obta

in b

ette

r visi

bilit

y int

o bu

sines

s pro

cess

es

Anal

yze

cust

omer

dat

a to

incr

ease

sale

s

Anal

yze

cust

omer

dat

a to

reta

in cu

stom

ers

Com

ply w

ith re

gula

tions

Repo

rt cu

rrent

sale

s

Inte

grat

e BI

with

pro

duct

ivity

app

licat

ions

Pred

ict cu

stom

er b

ehav

ior,

fraud

or b

usin

ess o

utco

mes

Help

dev

elop

new

pro

duct

s/br

ands

/cus

tom

ers

Spee

d pr

oduc

tion/

deve

lopm

ent c

ycle

tim

es

Othe

r

68%

69%

63%

70%

63%

63%

63% 66

%

62%

72%

58%

56%

52% 56

%

19%

50%

47%

41%

50% 55

%

56%

53%

40%

36% 41

%

33%

30%

28%

37%

38%

30%

26%

3% 2%



Figure 18

November 2011 23



November 2011 24

If they can use their existing software; offercustomers license portability from on-premises deployments; and add cloud advan-tages, including elastic scalability, perhaps themega vendors can finally turn cloud-based BIand analytics into a breakthrough success.

Parallels in Data ManagementBI and analytics are often thought of as the

business user- and business analyst-facing“front ends” whereas information manage-ment—work with databases, information in-tegration, data quality and so on—is often de-scribed as the “back end” of the operation. Akey point, though, is that they are intercon-nected. You can’t report on it, spot trendswithin it, or develop predictive or statistical in-sights based on it unless it is information thatyou are managing or somehow integrating.It’s no surprise, then, that there are parallels

between what’s happening in the BI and an-alytics world and what’s happening in infor-mation management.You have to start with the fact that informa-

tion management professionals are as driven

Previous Next

2012 2011

If you haven't standardized on a BI platform or consolidated analytics/reporting infrastructure across your entire organization, what would it take for your company to move from best-of-breed to a consolidated (one vendor) offering?

Consolidation Motivation

Clear case that it would save money/impact our bottom line

Consensus across our lines of business

Executive corporate directive

CIO directive

Other

Does not apply, as we currently have a standard BI platform

Nothing could make us standardize on one vendor


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39%37%

33%32%

31%28%

24%23%

4%3%

27%31%

8%10%



Figure 19



November 2011 25

Previous Next

by the push for advanced, predictive andproactive analytics as are analytics profession-als themselves. Without well-managed data,and a lot of it, analytics pros simply can’t dotheir jobs. P&G was able to develop predictivemodels because it had spent years collectingdata from its core SAP ERP system and otherapplications, methodically integrating andloading it all into SAP BW and Oracle datawarehouses. And in the wake of its integratedpoint-of-sale system deployment, the Cincin-nati Zoo built a data warehouse to help pre-dict attendance and staffing needs based onattendance histories and related weatherconditions.On-premises data marts and data ware-

houses have consistently been the mostwidely deployed information managementtechnology we cover in our survey, used ex-tensively by 36% and on a limited basis by anadditional 22% of our 431 information man-agement respondents.Consistent with last year’s survey, respon-

dents still have big plans to add master datamanagement software and data clean -

sing/data quality tools, making these tech-nologies top priorities in terms of planneduse. This reflects the finding, noted earlier,that data quality problems remain the topobstacle to using BI and analytics productsenterprisewide.

Just as cloud computing is a small butpromising category in BI and analytics, it’smuch the same story in information manage-ment. Cloud-based data marts and ware-houses are used extensively by 5%, on a lim-ited basis by 12% and are planned for use by

Enterprise Management:Strengthening IT’s CoreEnterprise management is evolving from a break-fix mentality to a discipline that enables IT to be a proactive business partner with an emphasis on service.

DownloadDownload



What factors are driving, or would drive, your organization's interest in implementing master data management systems?

Factors Driving Interest in Master Data Management Systems

Data quality problems marked by overlaps and inconsistencies

Data complexity due to mergers and acquisitions

Operational costs are high due to data-related errors

Regulatory pressures demand better/more reliable reporting

Customer service/satisfaction is suffering due to poor data quality

Other

Master data management systems are not a priority for my organization

Note: Multiple responses allowed Base: 431 respondents involved with information management technologies Data: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology professionals, October 2011

R3551111/22

45%

26%

24%

24%

22%

2%

38%

Figure 20



http://reports.informationweek.com/abstract/81/8527/Business-Intelligence-and-Information-Management/research-enterprise-management-strengthening-it-s-core.html

November 2011 26

19% of this year’s respondents; last year thosefigures were 5%, 8% and 15%, respectively, sothings are perking up, if slowly.

Much of the buzz in cloud-based data martand data warehousing is about sandbox en-vironments for development and testing, elas-

tic scaling to handle peak workloads, and pri-vate-cloud virtualization. Thus, “on a limitedbasis” may be the preferred use case for thiscategory. When extensive use is the rule, prac-titioners are more likely opt for conventionalon-premises deployment for low total cost ofownership over the long haul.There are skeptics who think big data is all

hype, but our respondents put it right therein the middle of current and planned use, witha respectable 27% already handling high-scale data marts and data warehouses on anextensive or limited basis and another 17%planning to add them. These are the types ofmarts and warehouses used for in-databaseanalytics and big data analyses of things likeclickstreams, machine-generated sensor dataand server log files. Predictive analyses comeinto play here, helping to serve up the rightads and offers to the right customers at theright time.Mobile phones are both a contributor to

and subject of big-data analyses. Call-datarecords, instant messaging traffic and smart-phone-based Web and app interactions are

Previous Next

What factors are driving, or would drive, your organization's interest in cloud-based marts/warehouses or document/record repositories?

Factors Driving Interest in Cloud-Based Data Marts or Warehouses

Note: Multiple responses allowed Base: 431 respondents in October 2011 and 302 respondents in September 2010 involved with information management technologiesData: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

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R

2012 2011

Low

ove

rall

cost

Low

initi

al co

st

Easy

way

to su

ppor

t mul

tiple

loca

tions

and

/or m

obile

/rem

ote

user

s

Min

imal

nee

d fo

r IT s

taff/

supp

ort

Rapi

d de

ploy

men

t

Prov

ides

bet

ter c

apab

ilitie

s tha

n co

nven

tiona

l sof

twar

e

Prov

ides

har

dwar

e in

frast

ruct

ure

we

lack

We

use

SaaS

/clo

ud o

ptio

ns w

here

ver p

ossib

le

Othe

r

Clou

d-ba

sed

mar

ts/w

areh

ouse

s or d

ocum

ent/

reco

rd

repo

sitor

ies a

re n

ot o

f int

eres

t to

my o

rgan

izatio

n

46%

40%

35%

33%

33%

27%

31%

38%

28%

28%

22%

18%

14%

10%

7%

1%

32%

5%

2%

32%



Figure 21



November 2011 27

feeding the growing stockpiles of data, andthis information is being used by e-commercecompanies to segment mobile customers anddeliver mobile ads and offers. The phone com-panies themselves are monitoring and opti-mizing their networks, and they’re on thelookout for mobile service customers who arelikely to churn—studying whether they’reworth retaining or not.At the very cutting edge is the open source

Hadoop parallel data-processing platformand NoSQL databases. There’s a small com-munity of practitioners today, as these sys-tems are used extensively by only 3% of ourrespondents and on a limited basis by 11%.But this is promising stuff, likely to grow withthe rise in large-scale Internet commerce andsocial networking. The big attraction of NoSQL products is

their scalability and flexibility. Because there’sno fixed schema, you can add and exploit newdata attributes as needed. In contrast, the pre-defined data model behind a conventional re-lational database, such as Oracle, IBM DB2, Mi-crosoft SQL Server or MySQL, must be revised

with each change in data. The larger the data-base table, the more difficult, time consumingand costly the change.Large-scale e-commerce companies and so-

cial networks have been big users of NoSQL

platforms because they provide scalabilityand flexibility at a low comparative cost. It’snot every company that operates at the scaleof NoSQL users such as Facebook, Yahoo, eBayand Groupon, but about half of our respon-

Previous Next

What factors are driving, or would drive, your organization's interest in using Hadoop or other NoSQL/alternative data management/processing platforms?

Factors Driving Interest in NoSQL/Alternative Data Management

Ability to manage/process nonrelational/unstructured data

Ability to manage/process massive volumes of data

Lower software and deployment cost than commercial products

Lower hardware and storage scaling cost than commercial products

Interest in new insights, such as social media analysis

Other

Hadoop or other NoSQL/alternative data management/processing platforms are not a priority for my organization

Note: Multiple responses allowed Base: 431 respondents involved with information management technologies Data: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology professionals, October 2011

R3551111/21

31%

30%

23%

23%

16%

3%

47%

R



Figure 22



November 2011 28

dents (the 53% who didn’t respond “not a pri-ority for my organization”) rate the ability tohandle unstructured data, ability to processmassive quantities of data and low cost as thetop three appeals of Hadoop and otherNoSQL platforms.Here, too, is another driver of future analytics

efforts, as super-large data sets come online.They’ll be generated by social networks, retailand supply chain sensors, traffic and transitsystem sensors, smart meters and powergrids, medical monitoring devices, communi-cations networks, financial trading and trans-action systems, security and risk monitors, andnational intelligence agencies. In short, bigdata is going to be a pervasive problem—anda big driver of BI, analytics and informationmanagement challenges for years to come.

Previous Next





November 2011 29

Previous Next


reports B I T r e n d s f o r 2 0 1 2

APPE

NDIX Are you using or planning to use BI/analytics products from the following vendors?

2012

53%

39%

34%

31%

24%

23%

20%

15%

11%

9%

7%

6%

5%

5%

5%

5%

5%

4%

4%

4%

3%

2%

2%

2%

2%

2011

55%

40%

42%

38%

23%

37%

20%

14%

9%

7%

8%

6%

0%

2%

2%

N/A

5%

2%

0%

4%

2%

N/A

3%

2%

3%

Current or Planned Use of BI/Analytics Vendors

Note: Percentages reflect a response of "currently using" or "planning to use" Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analytics or statistical analysis software Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals

R3551111/17

Microsoft

SAP BusinessObjects

Oracle (including Hyperion and Siebel)

IBM Cognos (including TM1)

SAP BusinessObjects On-Demand (Crystalreports.com)

SAS

IBM SPSS

MicroStrategy

Tableau

Actuate

QlikTech

Information Builders

Adaptive Planning

Arcplan

Cloud9 Analytics

Deloitte/Oco

Tibco Spotfire

Birst

myDials

Pentaho

Host Analytics

Indicee

Jaspersoft

Panorama

PivotLink

R

Table of Contents

Figure 23



November 2011 30

Previous Next



Which of the following best describes your job title?

11%

10%

30%

8%

6%

7%

28%

Job Title

IT director/managerIT executive management (C-level/VP)

Other

Consultant

Non-IT executive management (C-level/VP)

Line-of-business management

IT/IS staff

Data: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology professionals, October 2011

R3551111/24

R

Table of Contents

Figure 24



November 2011 31

Previous Next



Which of the following dollar ranges includes the annual revenue of your entire organization?

12% 9%

14%

15%14%

7%

9%

9%

11%

Company Revenue

$100 million to $499.9 millionLess than $6 million

Don't know/decline to say

$6 million to $49.9 million

Government/nonprofit

$5 billion or more


$1 billion to $4.9 billion



R3551111/25

R

Table of Contents

Figure 25



November 2011 32

Previous Next



What is your organization's primary industry?

Industry

Cons

truc

tion/

engi

neer

ing

Cons

ultin

g an

d bu

sines

s ser

vice

s

Dist

ribut

or

Educ

atio

n

Elec

tron

ics

Fina

ncia

l ser

vice

s

Gove

rnm

ent

Heal

thca

re/m

edica

l

Insu

ranc

e/HM

Os

IT ve

ndor

s

Logi

stics

/tra

nspo

rtat

ion

Man

ufac

turin

g/in

dust

rial, n

onco

mpu

ter

Med

ia/e

nter

tain

men

t

Reta

il/e-

com

mer

ce

Tele

com

mun

icatio

ns/IS

Ps

Othe

r


R3551111/26

2%

6%

2%

11%

3%

13%

10%

9%

3%

7%

2%

8%

4%

5%

3%

12%

Table of Contents

Figure 26



November 2011 33

Previous Next



Approximately how many employees are in your organization?

3%7%

10%

10%

22%

24%

24%

Company Size

100-499

Fewer than 50

50-99

10,000 or more

5,000-9,999

500-999

1,000-4,999


R3551111/27

R

Table of Contents

Figure 27



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2011 Salary Survey: BI/Analytics: The compensation future looks bright for business intel-ligence and information management professionals as the data deluge puts these workersin high demand.

Research: Enterprise Content Management: Technology has been fantastically effective indeveloping new ways for business workers to create, share and store data. But that develop-ment comes at a price.

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