November 2011$99 2012BIandInformation ManagementTrends Our 542 respondents say mobile,cloud...

November 2011 $99

2012BIandInformationManagementTrends

Our 542respondents say mobile,cloud computing and,

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

category.That’s the case despite the fact that63%worry

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

47% foresee integration issues.

ByDougHenschen

Report ID:R3551111

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Author’s Bio

Executive Summary

Research Synopsis

The2012OutlookforBIandInformationManagement

Advanced Analytics Defined

P&G Gets Predictive

BI on an iPad?

Cincinnati Zoo Goes Mobile

Warming Up to the Cloud

Parallels in Data Management

Appendix

Figures

6

7

8

9

Figure 1 Interest in BITechnologies

Figure 2 Factors Driving Interest in Cloud-Based

BI/Analytics

Figure 3 Factors Driving Interest in

Advanced Analytics

Figure 4 Extent ofTechnology Use forSharing BI/Analytic Insights

10 Figure 5 Extent of Information

ManagementTechnology Use

11 Figure 6 Utilizing BI and Analytics

12 Figure 7 Impediments to InformationManagement Success

13 Figure 8 User BI/Analytics Access

14 Figure 9 BI/AnalyticsVendors

15 Figure 10 Information ManagementTechnologies in Use

16 Figure 11 Most Important BI/AnalyticsFeatures

17 Figure 12 BI/Analytics Deployment

18 Figure 13 Barriers to EnterprisewideBI/Analytics Adoption

19 Figure 14 ConcernsWith Cloud-BasedBI/Analytics

20 Figure 15 Factors Driving Interest in

Social Network AnalysisTechnologies

21 Figure 16 Technologies Used to ShareBI/Analytic Insights

22 Figure 17 Utilizing BI and Analytics:2012 vs.2010

23 Figure 18 Implementation Goals

24 Figure 19 Consolidation Motivation25 Figure 20 Factors Driving Interest in

Master Data Management Systems

26 Figure 21 Factors Driving Interest inCloud-Based Data Marts orWarehouses

27 Figure 22 Factors Driving Interest inNoSQL/Alternative Data Management

29 Figure 23 Current or Planned Use ofBI/AnalyticsVendors

30 Figure 24 JobTitle

31 Figure 25 Revenue

32 Figure 26 Industry

33 Figure 27 Size

reports.informationweek.com

TABLE OF

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BI Trends for 2012

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reports

DougHenschenis executive editor of InformationWeek,where hecovers the intersectionof enterprise applications with informationmanagement,businessintelligence andanalytics.He previouslyservedas editor in chief of IntelligentEnterprise andhe hascovered

Doug Henschen

InformationWeekReports

IT forthe last 13 years of his 29-yearcareer inpublishing.

© 2011 InformationWeek,Reproduction Prohibited





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EXECUTIVE

reports

OurInformationWeek2012BusinessIntelligence,Analytics andInformationManage-ment Surveyshows the old practice of following the money—using lagging financialin-dicators to guide a company’s decisions—giving waytothe forward-looking approachoffollowing the data.Organizations are gathering,managing andanalyzing notonlymoreinformation but more types of information,all withthe ideaof using advancedpredictiveand statistical analytics to improve internal operations,get closerto customers,sellandmarket products more effectively across physicaland digitalcommerce channels,andoutperformthe competition.

Other top-line trends:Slightly fewer respondentshave standardizedonone ora fewBI/analytics products deployed throughoutthe company vs.ourprevious survey.Just8%give allemployees access to BI/analyticsdata.And the number of respondentscitingdata-quality problems as a barrier toadopting BI/analyticsproducts enterprisewide fellnine points,to 46%.

BI Trends for 2012

November2011 4

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RESEARCHMethodology InformationWeek surveyedbusiness technologydecision-makersatNorthAmerican companies.The surveywas conductedonline,andrespondents were re-cruitedvia an email invitationcontaining anembeddedlink tothe survey.The emailinvi-tation was sentto qualified InformationWeek subscribers.

reports

SurveyName InformationWeek 2012 Business Intelligence,Analyticsand InformationManagementSurvey

SurveyDate October 2011

Region NorthAmerica

NumberofRespondents 542

Purpose To examine adoption trendsandstrategiesaround businessintelligence,analyticsand information management.

BI Trends for 2012Table of Contents

ABOUT US

InformationWeekReports’

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 directorArtWittmann at

[email protected],

content director LornaGarey at [email protected],

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

research managing editor

HeatherVallis at

[email protected].

Find all of our reports at







Veryimportant5

Analysisof

bigdata,particularlyunstructured/nonrelationaldata

Software-as-a-service/cloudcomputing-basedBI/analytics

Advancedanalytics(predictive/statisticalanalysis,etc.)

3.7 3.8

3.6 3.7

3.4 3.63.6

3.6

3.6

3.6

3.4

3.3 3.4

Advanceddatavisualizationcapabilities

3.3 3.4

3.1

3.1

Socialmedia/socialnetworkanalysis

2.8

2.7

Exceptionmanagement

1Notimportant

In-memoryBI/analytics

Internet-stylequerying

CollaborativeBI

EmbeddedBI

N/A

MobileBI

2.6

2.6

Note: Mean average ratings

analytic offerings. Our InformationWeek Re-ports2012BusinessIntelligence,AnalyticsandInformation 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 interfaces

aimed at easing and spreading access to BIand analytic insights are very much in de-mand,with44%ofBIandanalyticsprofession-als now planning to add such smartphone-and tablet-basedoptions.

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 reservations aboutmixing internal data and this relatively newcomputingparadigm.Concernsarestillthere,mainly about data security and data-integra-tion between on-premises systems andcloud-basedinfrastructure,butthisyear’ssur-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."

2012 2011

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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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reports

The2012Outlook for BI andInformation Management


Name a technology category—applications,

middleware, hardware, services—and

you’relikely to spot new mobile, cloud-based

andFigure1

InterestinBITechnologies





Providesbettercapabilitiesthanconventionalsoftware

Providesdatamanagementinfrastructurewelack

38%

SaaS/cloud-basedBI/analyticsarenotcurrently

ofinteresttomyorganization

36%

36%

31% 33%

WeuseSaaS/cloudoptionswhereverpossible

21%

MinimalneedforITstaff/support

24% 27%

19%

Rapiddeployment

12%

Lowoverallcost

Lowinitialcost

10%

7%5%

Other 3% 2%

16%

36%

Easywaytosupportmultiplelocationsand/ormobile/remoteusers

46%

55%

39%

Butifthere’soneubertrenddominatingthe

BI and information management domain,it’sthecontinuingriseinimportanceofanalytics,

particularlyadvancedstatisticalandpredictiveanalytics.Forthethirdyearinarow,surveyre-spondents rated advanced analytics as the

most compelling among a dozen leading-edge technologies.Onceanelite nichewithinthelargerBImarket,analyticshasbecomethe

proverbial 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 formulatemoresuccessfulproductandserviceofferings.

AdvancedAnalyticsDefinedThere’sgoodreasonforalltheinterestinan-

alytics;it’satechnologythatcanhelpyoupre-dictcustomerneedsandwants,optimizefac-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 orfailureslater.

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R3551111/13Note: Multiple responses allowedBase: 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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2012 2011

FASTFACT

55%of our survey respondents say

lower overall cost drives

interest in cloud-based

BI/analytics.


reports BI Trends for 2012Table of Contents

Figure2

FactorsDrivingInterestinCloud-BasedBI/AnalyticsWhat factors are driving,or would drive,your organization's interest in software-as-a-service/cloudcomputing-based BI/analytics?





That’s the key contrast with what is now

sometimes disparagingly dubbed “rear-view-mirror BI.” Whereas business intelligence has

long been associated ad hoc query, analysisand reporting—activities that explore and,perhaps, extrapolate based on historicaldata—advancedanalyticsapplystatisticalandpredictive algorithms to come up with calcu-lated,predictivemeasures,scoresormodels.

Yourlevelofsophisticationonthespectrum

between BI and advanced analytics is usuallythe difference between reactive and proac-tive decision-making. Summary statistics,queries,reports,andeventhreshold-triggeredalerts and low-latency dashboards based onhistoricalinformationarerear-viewmirror.It’sapictureofwhereyou’vebeen.Thereisamid-dlegroundofsimpleanalyticswherebytrend-ing or algebraic predictions might give yousome idea of what to expect in terms of pro-duction orsales.

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 weakquarters,even the ef-fects of weather or macroeconomic condi-

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73%75%

49%46%

45%52%

38%

Desiretoidentifybusinessrisk

Needtostayincompliancewithlawsorregulatoryrequirements

31%

Other2%2%

Advancedanalyticsarenotapriorityformyorganization12%

15%

Note: Multiple responses allowedBase: 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



Figure3

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

2012 2011

Desiretooptimizebusinessoperations

Desiretopredictpromisingnewbusinessopportunities

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mostly 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 advanced

analytic 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 be

noted that the open source R community,whichhasseveralcommercialpromotersandsupport providers, has a large and growing

presence in advanced analytics.Yourdeepestdataprosknowthedifference

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,sweatandtears.Gettingpredictiveandproactive is hard work, at least for the initialtechnology setup and change in cultural ap-

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7%

27% 9%

21%

23%

24%

20%

24%

28%

Usedextensively Usedonalimitedbasis Planneduse

Spreadsheets/MicrosoftExcel70%

Reports(formattedPDF/HTMLsentbyemailoraccessedonline)60%

Queryandanalysissoftware(e.g.,in-memorywhat-ifplanning,OLAPcubes,etc.)31% 37%

Dashboards(drillable/interactivedata-visualizationinterfaces)30% 42%

Scorecards(comparingperformancetopredefinedgoals)25% 39%

Alerts(email,SMS,etc.,forexceptions/thresholds)24% 36%

EmbeddedBI(charts/datavisualizationswithinbusinessappsorportals)17% 43%

Mobile(smartphone-ortablet-based)dashboards/datavisualizations5% 20% 44%

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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tions.Yes,some pretty sophisticated prebuiltalgorithms can be built into applications andanalysis tools, but advanced analytics is

Table of ContentsBI Trends for 2012

Figure4

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





Documentimaging/capture(scanningandopticalcharacterrecognition)

14% 11% 12%

Hadooporothernonrelational("NoSQL")processingplatforms

16%

22%

26%

33%

18%

High-scaledatamart/datawarehousesystems

supportingmassivelyparallelprocessing

Tricklefeed/changedatacapturetechnologies

On-premisesdatamart(s)/datawarehouse(s)

Masterdatamanagementsystems/software

On-premisesdocument/recordrepository

21%

21%

Cloud-baseddocument/recordrepository

Cloud-baseddatamart(s)/warehouses

Complexevent-processingtechnology

17%

Data-cleansing/data-qualitytools

15%

Dataintegrationsoftware(ETL)

30%

19%

18%

13%

Datafederationsoftware

12% 18% 19%

12%

5%

36%

35%

31%

30% 16%

17%

13%

15%

3%

11%

16%

15%

14%

10%

6% 6% 6%

12%

proach, but it generally produces break-throughresults.

P&GGetsPredictiveProctor & Gamble has bought into the pre-

dictive imperative in a big way.The goal of anearly two-year-old Business Sufficiency pro-gramatP&Ghasbeentoenableexecutivestopredict 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-cificeconomic conditions.

Theseanalyticmodelsarepredictiveandex-

ception-oriented,so they help executives seeinto the future and address looming prob-lemswithproduction,sales,distribution,mar-ketingormerchandisingperformancebeforethey lead to actual financial shortfalls.As oursurvey shows, BI and analytics professionalsarelookingbeyondfinancialanalysis(already

being done by 74% of respondents), andthey’readdingorplanningtoaddprocessop-timization (40%), customer-relationship

(36%), risk analysis (34%) and forecasting(32%)measuresto the mix.

A key point here is that financial analysis is

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


Rreports.informationweek.com


Figure5

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

Usedextensively Usedonalimitedbasis Planneduse





Customerrelationshipmanagement

Operationalprocessoptimization

Business-activitymonitoring

68%74%

59%

55%

Corporategovernance

Productdevelopment

Competitiveanalysis

45%

43%

Productmarketing

Riskmanagement

Financialanalysis

Fraudprevention

38%

37%

35%

Salestracking

30%

28%

Forecasting

24%

26%

19%

21%

32%

19%

36%

40%

29%

31%

27%

34%

30%

cusingoncustomersatisfaction,reducingriskand doing a better job of forecasting givesyou an opportunity to do something aboutfuture performance.

P&G analytic models are delivering such

measures,andthekeyperformanceindicatorsthey 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 predictionfor each model;they scope out the range-of-performance possibilities so managers candevise backup plans in case expectationsdon’tholdup.Andasthecurrentquarterandnext quarter approach,executives turn to yetanothersetofanalyticmodelsthathelpthem

decide on actions, such as changing pricing,doingmoreadvertising,revampingmerchan-dising or rebalancing plans to promote the

productsthataresellingwellwhiledeempha-sizing those that aren’t.

Once again, what-if scenario planning is

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Currentuse Planneduse



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FASTFACT

40%of respondents are

adding or plan to add

process optimization to

their BI/analytics mix.


reports

an after-the-fact measure of performance,whereas improving operational processes(such as manufacturing and distribution),fo-


Figure6

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





59%

59%

Integratingdata(e.g.,extract,transform,loadordatafederation)

Copingwithrapidlyincreasingvolumesofdataand/orcontent

Reducingdatalatencyandsupportingfasterdecisionmaking

Organizingandmaintainingdatamodelsand/ortaxonomies

Maintainingreliableandresponsivedatamarts/warehouses

46% 49%

Cleansing,dedupingorensuringconsistentdata

41%

51%

Accessing/managingcontentsuchasWordfiles,

emailmessagesandpresentations

40%

37%

37%

Extractingdata/transactionalinformation

frompaper-basedformsanddocuments

Accessingrelevant,timelyorreliabledata

32%33%

Processinghigh-velocitydatastreams

30%

28%

24%

25%

26%

24%

24%

10%

10%

Other 3%6%

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Profitsheldupasaresultofthoseactions,butthe company reported (and clearly knew toexpect) market share slippage in certain ar-eas.Inatougheconomy,there’sonlysomuchyou can do,even with early proactive action,tomaintain allaspects 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.

Supportinginfrastructurefordatagatheringand data mining has helped synthesize dataanalysis,andtheresultingadvancedanalytics

have 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 insighttomove towardproactive action.

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baked into the analytic process,so managerscan see all impacts.In its most recent quarter,forexample,P&Gincreasedpricestomakeupformanufacturingcommoditycostincreases.

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Note: Multiple responses allowedBase: 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

BI Trends for 2012

Figure7

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





75% 81%

65%67%

58% 61% 63%

52% 55%

52%

C-levelcorporateexecutives(includingVPs)

50%52%

28% 32%

Everyemployeeandpartner

Externalsuppliers/partners

Line-of-businessmanagers

Customer-servicereps

Knowledgeworkers

Financialmanagers

24%

25%

12% 16%

Businessanalysts

ITmanagement

Allemployees

Salesforce

Customers

6% 8%12%

11%

2% 2%

forms and infrastructure for data processingandanalysis.

BIonaniPad?Whether it’s a “rear-view-mirror” report, a

real-timedashboardoraforward-lookingan-alyticprojection,BIandanalyticsprofessionalstellusthey’reeagertoconsumethatinforma-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 technologythathasn’tbeensweptupinthesmartphoneand tablet craze.BI,analytics and information

managementarenodifferent.BI-specificmo-bile options, like Cognos Go Mobile, startedshowingupasearlyas2006,anditseemslike

every year vendors are introducing new ver-sions promising better usability and compat-ibilitywith the latestdevices.

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Analyticsisalsomakingitsmarkininforma-

tionmanagement,anarenainwhichso-calledbig data is radically changing database plat-





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2012 2011

Figure8

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





2010,early BI adopters included vendors Mi-croStrategy,Pentaho,QlikTechandthird-party

independent MeLLmo, maker of the Roambiplatform.In2011,itseemseveryotherBIven-dorjumpedontheiPadbandwagon,withAc-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,thecontinuingevolutionofsmartphonesandtheemergenceofHTML5,inparticular,in2011,havegivenrisetoabitofsoul-searchingonthepartofBIandothervendors.Theques-tionbecame,“Shouldwecontinuetodevelopdevice- 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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WhenApplesinglehandedlyestablishedthe

tablet as a new must-have mobile-deviceform factor with the launch of the iPad in

Table of Contents

Currentlyusing

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%

Planningtouse

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,butnotselectedforuse

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%

Currentlyevaluating

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%



MicrosoftSAPBusinessObjectsOracle(includingHyperionandSiebel)IBMCognos(includingTM1)SASSAPBusinessObjectsOn-Demand(Crystalreports.com)IBMSPSSMicroStrategyTableauActuateInformationBuildersQlikTechTibcoSpotfireAdaptivePlanningCloud9AnalyticsHostAnalyticsIndiceeArcplanDeloitte/OcoBirstmyDialsPentahoJaspersoftPivotLinkPanorama

BI Trends for 2012

Figure9

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

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69%

69%

70%

68%

Hadooporothernonrelational("NoSQL")processingplatforms

63%

61%

58%

52%

59%

High-scaledatamart/datawarehousesystems

supportingmassivelyparallelprocessing

Tricklefeed/changedatacapturetechnologies

On-premisesdatamart(s)/datawarehouse(s)

46%

Masterdatamanagementsystems/software

Documentimaging/capture

(scanningandopticalcharacterrecognition)

On-premisesdocument/recordrepository

Cloud-baseddocument/recordrepository

Cloud-baseddatamart(s)/warehouses

Complexevent-processingtechnology

Data-cleansing/data-qualitytools

Dataintegrationsoftware(ETL)

32%

30%

36%

26% 28%

Datafederationsoftware

23% 27%27%

21%

18%

19%

20%

17%

13%

N/A

14%

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smartphones and tablets.When Web appswritteninHTML5recognizethatthey’rebeingdelivered 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 otherformsof gesture-based navigation.

There are still limits to the device-native ca-

pabilities supported by HTML5.For example,accesstothecamerafunctiononvariousmo-biledevicesisusuallylacking.ButHTML5doessupport 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-formsanddevices.

Sensing the future (and likely facing a new

round of native app development),early iPadadopterQlikTechswitchedgearsinearly2011and embraced a device-neutral,Web-basedapproachrelyingonHTML5.Butdon’texpectBI 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 widerembraceofthe standardforsmartphoneand

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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 technologiesData: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionals


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themacrossavarietyofmobileplatformsanddevices without native development work.HTML5 is nowsupported by most late-model

Figure10

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

2012 2011





AbilitytointegratewithenterpriseapplicationssuchasERPandCRM

Abilitytorespondtoeventsandprovidenear-real-timedataupdates

69%

Providesseamlessdata/application/businessprocessintegration

63% 65%

Abilitytopredictcustomerbehavior,riskorbusinessoutcomes

Providesfastdataexploration,queryandanalysiscapabilities

62%

59%

Abilitytocollectandanalyzeoperationaldatainrealtime

53% 57%

51%

46%

47% 51%51%

50%

51%

45% 47%

Abilitytointegratewithdesktopapplications

Providesoutputtoabroadrangeofformats

Providesbroadarrayofdatavisualizations

Abilityforuserstoshareandcollaborate

41% 46%

42%

43%

31%37%

30%

28%

Breadthofproductofferingand

potentialtoconsolidate

Easeofimplementation

Easeofuse

21% 26%

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

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

opmentthatpromisestohelpcrackthelong-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 ofthefewanalystsandtopexecutives)andshar-

inginsightswithknowledgeworkersateverylevel of an organization.Yet, BI deploymentsgenerally don’t reach much beyond 25% ofpotentialusers,onaverage.InformationWeekhasbeentrackingthebar-

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 increaseamongthelistofoptionsprovidedtorespon-dents), making it the second most-cited ob-stacle tobroad use of BI.

Given the small-screen real estate of smart-

phonesandeventablets,mobileBIappshavegenerally forced a fresh and much-simplified

approach to sharing BI and analytics. Thepoint is not that enterprises should count on

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R3551111/10Note: Multiple responses allowedBase: 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



Figure11

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

2012 2011





service personnelon the go.

CincinnatiZooGoesMobileManagers and decision-makers at the

Cincinnati Zoo and Botanical Gardens mightturnupanywhereontheinstitution’s75-acrecampus.That’s one reason the zoo is usingIBM’sCognosMobilesoftwarefortheiPad.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,

weeklyspreadsheetprocess.Aunifiedsystemdeployed in2010 linking all 51 POS locationsacrossthecampusprovidesunified,real-timeinformation.

The new system yielded a treasure trove of

November2011 17

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Base: 414 respondents in October 2011 and 410 respondents in September 2010 using or planning to deploy BI, data analyticsor statistical analysis software


R3551111/1

22%20%

WedeployBI/analyticsonaproject-by-projectbasis

WehavemanyBI/analyticsproducts17%17%

WedeployBI/analyticsaspartofothertechnologyinitiatives17%

14%

Noneoftheabove3%

2%


reports

clean-sheet mobile-BI interfaces to deliverdashboards,reports and query capabilitiestodesk-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 field

Table of Contents

BI Trends for 2012

Figure12

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

2012 2011

WehavestandardizedononeorafewBI/analyticsproducts41%

47%





Challengesgettingconstituentstoagreeonstandardizedproduct(s)

55%

Integration/compatibilityissueswithexisting/multipleplatforms

Challengesscalingthetechnologyacrosstheentireorganization

46%

45%

NoneedforBIcapabilitiesthroughoutourenterprise

Traininginternalstafftootime-intensiveandcostly

40%

40%

40%

40%

38%

37%

36%

Ease-of-usechallengeswithcomplex

software/less-technicallysavvyemployees

31% 33%

BI/analyticstalentistooexpensivetohire

29% 32%

Lower-than-expectedanalyticvalue

27%

27%

Softwarelicensesaretooexpensive

23% 27%

Overlapwithotherproducts

Lackofindustrystandards

Dataqualityproblems

17%18%

14%

11%

10%

8%

NoclearROI

9% 10%

Other

None 4%7%

5% 6%

tomer segmentation and marketing projects.

That’sinsightmanagerscanuseforemailanddirect mail campaigns in which they sendcoupons and offers to zoo members, loyaltycard holders and other known customers

basedonpast purchase patterns.PredictivecapabilitiessupportedinCognos

now help managers plan staffing, retail mer-chandize buying, and food and beveragestockstohaveonhandbasedonhistoricalat-tendance patterns and weekly weather fore-casts. A beautiful three-day Fourth of July

weekend with temperatures in the mid 80s,for instance, would call for far differentstaffingandorderingdecisionsthanacoldfallweekend.

With iPads in hand,zoo managers can now

makemoredecisionsonthefly.Seeingemptyshelves, retail managers might check on in-ventory and reorder sold-out goods. Seeinglonglinesatfoodstandsnearaspecialattrac-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 costvariableforthezoo,sothesavingscanbesig-

nificant if staffing levels are better in tunewithactualneed.

November2011 18

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2012 2011

Note: Multiple responses allowedBase: 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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data,andthezooputIBMCognossoftwaretowork to correlate attendance and purchasingpatterns. A big focus of that effort is on cus-

Figure13

BarrierstoEnterprisewideBI/AnalyticsAdoptionWhat are the barriers to adopting BI/analytics products enterprisewide?





November2011 19

vice-based BI came in next to last among the

leading-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—from28% to 32%.

Moresignificantly,whenweaskedsurveyre-

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%lastyear)andlowinitialcost (39% vs.24% last year).

And in the biggest sign that IT pros are

warming to the possibility of using cloud-basedBIandanalytics,just16%reportedthatthis category is not currently of interest totheir organizations, whereas that figure was

36% in last year’ssurvey.Still, cloud advocates shouldn’t rejoice just

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FASTFACT

32%of respondents say they

have a significant interest in

SaaS-based BI.


reports

WarmingUptotheCloudAswasthecaseinlastyear’sBIandInforma-

tion Management Survey, software-as-a-ser-


2012 2011

Datasecurity/privacyconcerns

Dataintegrationchallenges

Costconcerns(totalexpenseofsubscriptionovertime)

Vendorlock-in

Inabilitytocustomize




R3551111/14

63%65%

47%43%

43%

35%38%

31%

32%32%

23%22%

Lackofrequiredfeaturesorcapabilities

Other4%4%

IhavenoconcernsaboutusingSaaS/cloud-basedBI/analytics10%

13%

Figure14

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





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 andprivacymaywellbemoreofaknee-jerkcom-plaint, whereas integration and cost objec-tions might be based on more actual investi-gation of available options and deploymentchallenges.

Theoptionsforcloud-basedBIandanalytics

showedsignsofchangein2011,andthismaybode well for future adoption. Until recently,most top BI software vendors have not of-feredcloud-basedBIoranalytics.Andthefewthat have offered such services have tendedtofocusonsubsetsoftheiron-premisesfunc-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

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2012 2011

Competitiveintelligence

Customerbehavioranalysis

Brand/product/reputationmanagement

Customerservice

Customersegmentation

Socialmedia/socialnetworkanalysistechnologiesarenotapriorityformyorganization

Note: Multiple responses allowed

34%31%

32%29%

31%24%

29%27%

26%22%

19%14%

Compliance

Other1%

0%

42%49%

R3551111/15

FASTFACT

63%of respondents ay they

have concerns with data

security/privacy for

cloud-based BI/analytics.


reports

yet,assignificantbarrierstoadoptionremain.Data security and privacy (63%),for example,remainedthetopconcern,whiledata-integra-


Figure15

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


Data: InformationWeek Business Intelligence, Analytics and Information Management Survey of business technology professionalsNovember2011 20





Birst, MyDials and PivotLink among SaaS-BI

vendors,and adaptive planning and host an-alytics among SaaS-performance manage-ment—have really broken out of the pack intermsof 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 somecasesprivate)clouds.InApril,IBMlauncheditsSmartCloud Enterprise, where the companynow makes IBM Cognos software availablewith cloud-style elastic scalability, meaning

you can add or drop storage,network accessandInternet 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 offeringforseveral years.

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2012 2011

Spreadsheets/MicrosoftExcel

Reports

Dashboards

Queryandanalysissoftware

Scorecards



November2011 21

R3551111/4

91%93%

87%90%

72%75%

80%68%

64%67%

60%62%

60%71%

Alerts

EmbeddedBI

Mobile(smartphone-ortablet-based)dashboards/datavisualizations25%

N/A

Note: Percentages reflect a response of "used extensively" or "used on a limited basis"


reports

softwareasaservice(SaaS)providers—afieldincluding (in order of use by survey respon-dents)Cloud9Analytics,Indicee,Deloitte/Oco,


Figure16

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





93%95%

89% 93%

91%

92%

83%

79%

81% 85%

74% 80%

67% 71%

64% 70%

68%

69%

62% 67%

58%

59%

Productdevelopment

Customerrelationshipmanagement

Operationalprocessoptimization

Business-activitymonitoring

Corporategovernance

Competitiveanalysis

Productmarketing

Riskmanagement

Financialanalysis

Fraudprevention

Salestracking

Forecasting

50%

51%

R

tomerstospinuptest-and-development,de-partmental or business-unit deployments,orlarge-scale BI systems on infrastructure run-ninginthecompany’sdatacenters.Licensingandcostswerenotdetailed,butSanjuBansal,MicroStrategy’s executiveVP and chief oper-ating officer, said customers will be able torentcapacityasneededwithabout48-hours’notice.

MicroStrategy,which built out its own data

centers at its Virginia headquarters and inLondon,doesnotselldatabases—somethingyoualwaysneedtomanagethedatayouplanto explore—so the company partnered withIBM Netezza and independent database ven-dor ParAccel to run high-scale data martswithintheMicroStrategyCloud.Dataintegra-tion vendor Informatica is another partner,contributing on-premises-to-cloud data inte-gration capabilities.

Microsoft also deserves mention here in

thattheSQLAzureplatformoffersSQLServer

analysis, integration and reporting service inthe cloud.The other elements of Microsoft BIareSharePointandOffice,whichareavailable

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

November2011 22

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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



R3551111/6

2012 2011


reports

In July, MicroStrategy followed IBM’s and

SAP’s news with MicroStrategy Cloud, an in-frastructure service that will enable cus-


Figure17

UtilizingBIandAnalytics:2012vs.2011How do you utilize or plan to utilize business intelligence/analytics?





68%

69%

70%

63% 66%

63%

63%

63%

62%

72%

58%

56%

ExpandBItomorepeoplethroughouttheorganization

Predictcustomerbehavior,fraudorbusinessoutcomes

52% 56%

50% 55% 56%

Monitorandsharebusinessperformancemetrics

Obtainbettervisibilityintobusinessprocesses

50% 53%

Helpdevelopnewproducts/brands/customers

Measureandmanageinternalperformance

47%

Speedproduction/developmentcycletimes

Analyzecustomerdatatoretaincustomers

IntegrateBIwithproductivityapplications

Analyzecustomerdatatoincreasesales

36% 41%41%

40%

Shareinformationwithexecutives

Providebusinessreportingtools

33% 37%

38%

30%

Enablereal-timeinformation

28% 30%

Improvebusinessplanning

Complywithregulations

Reportcurrentsales

19%

26%

Other 3% 2%

EnterpriseEditionsuiteintotheOracleCloud,announcedat October’sOracle OpenWorld.

The advantage BI mega vendors have in

bringing BI into the cloud is that they have

hugenumbersofcustomersfamiliarwiththeirsoftware.Indeed,we’velongfollowedourread-ers’ inclination to standardize on one or a fewBIsuitesandtools,andthatremainsthedomi-

nant strategy for 2012, with 41% of respon-dentssayingthey’vedonejustthat.It’snotable,though,that standardization is slipping a bit,downsixpointsfromlastyear’ssurvey.

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Note: Multiple responses allowedBase: 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

R

2012 2011



Figure18

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

R3551111/8

November2011 23





November2011 24

mega vendors can finally turn cloud-based BIandanalyticsinto a breakthroughsuccess.

ParallelsinDataManagementBI 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,dataqualityandsoon—isoftende-scribed as the “back end” of the operation.Akey point, though, is that they are intercon-nected.You can’t report on it, spot trendswithinit,ordeveloppredictiveorstatisticalin-sightsbasedonitunlessitisinformationthatyouare managing or somehow integrating.

It’s no surprise,then,that there are parallelsbetween what’s happening in the BI and an-alytics world and what’s happening in infor-mationmanagement.

Youhavetostartwiththefactthatinforma-

tion management professionals are as driven

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2012 2011

Clearcasethatitwouldsavemoney/impactourbottomline

Consensusacrossourlinesofbusiness

R3551111/9

39%37%

33%32%

24%23%

Executivecorporatedirective

CIOdirective

Other4%

3%

Doesnotapply,aswecurrentlyhaveastandardBIplatform

28%

27%

31%

31%Nothingcouldmakeusstandardizeononevendor

8%10%





reports

If they can use their existing software;offer

customers license portability from on-premisesdeployments;andaddcloudadvan-tages,includingelasticscalability,perhapsthe


Figure19

ConsolidationMotivationIfyouhaven'tstandardizedonaBIplatformorconsolidatedanalytics/reportinginfrastructureacrossyourentireorganization,whatwouldittakeforyourcompanytomovefrombest-of-breedtoaconsolidated(onevendor)offering?





November2011 25

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by the push for advanced, predictive andproactiveanalyticsasareanalyticsprofession-als themselves.Without well-managed data,and a lot of it, analytics pros simply can’t dotheirjobs.P&Gwasabletodeveloppredictivemodels 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.Andinthewakeofitsintegratedpoint-of-salesystemdeployment,theCincin-nati Zoo built a data warehouse to help pre-dict attendance and staffing needs based on

attendance histories and related weatherconditions.

On-premises data marts and data ware-

houses have consistently been the most

widely 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 but

promising category in BI and analytics, it’smuchthesamestoryininformationmanage-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

EnterpriseManagement:

StrengtheningIT’sCoreEnterprise management isevolving from a break-fixmentality to a discipline thatenables IT to be a proactivebusiness partner with anemphasis on service.

Download



Operationalcostsarehighduetodata-relatederrors

Regulatorypressuresdemandbetter/morereliablereporting

R3551111/22

24%

24%

Customerservice/satisfactionissufferingduetopoordataquality22%

Other2%

Masterdatamanagementsystemsarenotapriorityformyorganization38%

Note: Multiple responses allowedBase: 431 respondents involved with information management technologiesData: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology


Figure20

FactorsDrivingInterestinMasterDataManagementSystemsWhatfactorsaredriving,orwoulddrive,yourorganization'sinterestinimplementingmasterdatamanagementsystems?

Dataqualityproblemsmarkedbyoverlapsandinconsistencies45%

Datacomplexityduetomergersandacquisitions26%

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



































46%

Easywaytosupportmultiplelocationsand/ormobile/remoteusers

40%

38%

Providesbettercapabilitiesthanconventionalsoftware

35%

33%

Cloud-basedmarts/warehousesordocument/record

repositoriesarenotofinteresttomyorganization

33%

31%

WeuseSaaS/cloudoptionswhereverpossible

27%

28%

28%

Provideshardwareinfrastructurewelack

MinimalneedforITstaff/support

18%22%

Rapiddeployment

Lowoverallcost

Lowinitialcost

10%14%

7%5%

Other

1% 2%

32%

32%

19%ofthisyear’srespondents;lastyearthosefigures were 5%,8% and 15%,respectively,sothingsare perking up,if slowly.

Much of the buzz in cloud-based data mart

and data warehousing is about sandbox en-vironmentsfordevelopmentandtesting,elas-

tic scaling to handle peak workloads,and pri-vate-cloud virtualization.Thus, “on a limitedbasis” may be the preferred use case for thiscategory.Whenextensiveuseistherule,prac-titioners are more likely opt for conventionalon-premises deployment for low total cost ofownership overthe long haul.

There are skeptics who think big data is all

hype, but our respondents put it right thereinthemiddleofcurrentandplanneduse,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 therighttime.

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

November2011 26

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Note: Multiple responses allowed R3551111/23

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

R

2012 2011



Figure21

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





R

tems are used extensively by only 3% of ourrespondents and on a limited basis by 11%.But this is promising stuff,likely to grow withtheriseinlarge-scaleInternetcommerceandsocialnetworking.

The big attraction of NoSQL products is

theirscalabilityandflexibility.Becausethere’snofixedschema,youcanaddandexploitnewdataattributesasneeded.Incontrast,thepre-defineddatamodelbehindaconventionalre-lationaldatabase,suchasOracle,IBMDB2,Mi-crosoftSQLServerorMySQL,mustberevised

witheachchangeindata.Thelargerthedata-basetable,themoredifficult,timeconsumingand costlythe change.

Large-scalee-commercecompaniesandso-

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 scaleofNoSQLuserssuchasFacebook,Yahoo,eBayand Groupon, but about half of our respon-

November2011 27

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Other3%

HadooporotherNoSQL/alternativedatamanagement/processingplatformsarenotapriorityformyorganization

Note: Multiple responses allowedBase: 431 respondents involved with information management technologiesData: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technology


47%

R3551111/21


reports

feeding the growing stockpiles of data, andthisinformationisbeingusedbye-commercecompaniestosegmentmobilecustomersanddelivermobileadsandoffers.Thephonecom-panies themselves are monitoring and opti-mizing their networks, and they’re on thelookoutformobileservicecustomerswhoarelikely to churn—studying whether they’reworthretaining 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-

Table of Contents

BI Trends for 2012

Figure22

FactorsDrivingInterestinNoSQL/AlternativeDataManagementWhat factors are driving,or would drive,your organization's interest in using Hadoop or other NoSQL/alternativedata management/processing platforms?

Abilitytomanage/processnonrelational/unstructureddata31%

Abilitytomanage/processmassivevolumesofdata30%

Lowersoftwareanddeploymentcostthancommercialproducts23%

Lowerhardwareandstoragescalingcostthancommercialproducts23%

Interestinnewinsights,suchassocialmediaanalysis16%





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reports

dents(the53%whodidn’trespond“notapri-ority for my organization”) rate the ability tohandle unstructured data, ability to processmassivequantitiesofdataandlowcostasthetop three appeals of Hadoop and otherNoSQL platforms.

Here,too,isanotherdriveroffutureanalytics

efforts, as super-large data sets come online.They’llbegeneratedbysocialnetworks,retailand supply chain sensors, traffic and transitsystem sensors, smart meters and powergrids,medical monitoring devices,communi-cations networks,financial trading and trans-actionsystems,securityandriskmonitors,andnational intelligence agencies. In short, bigdataisgoingtobeapervasiveproblem—anda big driver of BI, analytics and informationmanagementchallenges foryears to come.

BI Trends for 2012

November2011 28

Table of Contents






AP

PE

ND

IX

November2011 29

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BI Trends for 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/A5%2%0%4%2%

N/A3%2%3%



R3551111/17

MicrosoftSAPBusinessObjectsOracle(includingHyperionandSiebel)IBMCognos(includingTM1)SAPBusinessObjectsOn-Demand(Crystalreports.com)SASIBMSPSSMicroStrategyTableauActuateQlikTechInformationBuildersAdaptivePlanningArcplanCloud9AnalyticsDeloitte/OcoTibcoSpotfireBirstmyDialsPentahoHostAnalyticsIndiceeJaspersoftPanoramaPivotLink

Note: Percentages reflect a response of "currently using" or "planning to use"

R

Table of Contents

reports

Figure23

CurrentorPlannedUseofBI/AnalyticsVendorsAre you using or planning to use BI/analytics products from the following vendors?

2012





November2011 30

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BI Trends for 2012

30%

28%

ITdirector/manager

IT/ISstaff

R3551111/24Data: InformationWeek 2012 Business Intelligence, Analytics and Information Management Survey of 542 business technologyprofessionals, October 2011

R

Table of Contents

reports

Figure24

JobTitleWhich of the following best describes your job title?

ITexecutivemanagement(C-level/VP)

11%Other

7%

6%

Consultant

8%Line-of-businessmanagement

10%

Non-ITexecutivemanagement(C-level/VP)





November2011 31

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BI Trends for 2012

12% 9%

14%

15%14%

7%

9%

9%

11%

$100millionto$499.9millionLessthan$6million

Don'tknow/declinetosay

Government/nonprofit

$5billionormore

$500millionto$999.9million

$1billionto$4.9billion


R

Table of Contents

reports

Figure25

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







Construction/engineering

2%

Consultingandbusinessservices

Distributor

Education

Electronics

6%

2%

11%

3%

Financialservices

Government

Healthcare/medical

Insurance/HMOs

ITvendors

Logistics/transportation

13%

10%

9%

3%

7%

2%

Manufacturing/industrial,noncomputer

Media/entertainment

Retail/e-commerce

8%

4%

5%

Telecommunications/ISPs

3%

Other

12%

November2011 32

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BI Trends for 2012

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

R3551111/26

Table of Contents

reports

Figure26

IndustryWhat is your organization's primary industry?





November2011 33

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BI Trends for 2012

3%

10%

10%

22%7%

24%

24%

100-499

Fewerthan50

10,000ormore

5,000-9,999

500-999

1,000-4,999


R

Table of Contents

reports

Figure27

CompanySizeApproximately how many employees are in your organization?

50-99





MO

RE

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BI Trends for 2012

November2011 34

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