Webinar - Risky Business: How to Balance Innovation & Risk in Big Data

©2015byTheEnterpriseStrategyGroup,Inc.

EnterpriseStrategyGroup|Gettingtothebiggertruth.™

RiskyBusiness:HowtoBalanceInnovation&RiskinBigData

ScottGidley,VPofProducts,ZaloniNikRouda,SeniorAnalyst,ESG


©2015byTheEnterpriseStrategyGroup,Inc. Zaloni Confidential and Proprietary - Provided under NDA

• Award-winning provider of enterprise data lake management solutions:

Integrateddatalakemanagementplatform

Self-servicedatapreparation

• Data Lake Design and Implementation Services: POC,Pilot,Production,Operations,Training

• Data Science Professional Services

2

Deliveringonthebusinessofbigdata

Financed by top-tier technology investors:

AboutESG• ESGisanITanalyst,research,andstrategycompany.

• Ourfirmwasfoundedin1999withheadquartersinMilford,MA/ananalystandclientrelationspresenceinSiliconValley,CA.

• ESGconductsresearchwithandforITvendors,ITprofessionals,businessprofessionals,andchannelpartners.

• Wemaintainongoinganalystcoverageincloudcomputing,networking,storage,dataprotection,cybersecurity,datamanagementandanalytics,applicationdevelopmentanddeployment,enterprisemobility,andchannels.

• Capabilitiesinclude:Analystservices,marketresearch,technicalperformancetesting,economicvalidation,consulting,andcustomcontent.


ImportanceofBigData&AnalyticsProjects

48%

32%

14%

3% 2% 1%

20%

40%

21%

13%

4%1%

Ourmostimportantpriority

Oneofourtop5priorities



Notamongourtop20priorities

Don’tknow/noopinion

Relativetoallofyourorganization’sbusinessandITprioritiesoverthenext12-18months,howwouldyouratetheimportanceofitsbigdataanalyticsprojectsandinitiatives?(Percentofrespondents,N=475)

Importanceofbigdataanalyticsprojectsandinitiativesrelativetoallbusinesspriorities

ImportanceofbigdataanalyticsprojectsandinitiativesrelativetoallITpriorities

ComparedtobusinessprioritiesComparedtoITpriorities

Apartialmismatchasbigdataisessentialforthebusiness,yetisjustoneofmanygoalsforIT.


Top102016ITPriorities

18%

19%

20%

20%

20%

20%

21%

22%

23%

37%

Businesscontinuity/disasterrecoveryprograms

Improvingcollaborationcapabilities

Desktopvirtualization

Increasinguseofservervirtualization

Majorapplicationdeploymentsorupgrades

Improvingdatabackupandrecovery

Dataintegration

Managingdatagrowth

Businessintelligence/dataanalyticsinitiatives

Cybersecurityinitiatives

Takentogether,thisiseffectively

adatalake.

Top10mostimportantITprioritiesoverthenext12months.(Percentofrespondents,N=633,tenresponsesaccepted)


ESGSurveyRespondentsRepresentStakeholders

Databaseadministrator,26%

Managerofdevelopmentordeveloperofbusinessintelligence/analytics

solutions,23%Dataengineer,13%

Dataanalyst,12%

Datawarehouse/businessintelligence/analytics

manager,9%

Enterpriseordataarchitect,7%

Businessanalyst,6%

Datascientist,5%

DBAsanddevelopersstilldominate,evenasmanyrolescomeintoplay.

Whichofthefollowingbestdescribesyourprimaryareaofresponsibility?(Percentofrespondents,N=475)


WhoInitiatesNewBigDataandAnalyticsProjects?

18%

19%

20%

26%

28%

29%

30%

40%

41%

45%

Legal/risk/compliance

Marketingmanagement

Salesmanagement

Informationsecurityteams

Operationsmanagement

Seniorbusinessexecutives(e.g.,CEO,CFO,etc.)

Businessanalyst/datascientistteam

SeniorITexecutives(e.g.,CIO,CTO,etc.)

ITinfrastructureandoperationsteam

ITapplicationsteam

Whichofthefollowinggroupsareinitiatingnewprojectsintheareaofbigdataandanalytics?(Percentofrespondents,N=475,multipleresponsesaccepted)

IT

Bridge

Business

TraditionalIThasreassertedcontrolandtakenresponsibility.


23%

23%

25%

27%

29%

32%

52%

53%

Serviceprovider

Value-addedreseller(VAR)

Businessapplicationvendor

Managementconsultancy

Systemsintegrator(SI)

Businessanalyst/datascientistteam

ITapplicationsteam

ITinfrastructureandoperationsteamInternalstaff

Third-partyexperts

Whichofthefollowinggroupsprovidestheskillsandmanpowertoimplementandmanagethetechnologiessupportinginitiativesinthe areaofbigdataandanalytics?(Percentofrespondents,N=475,multipleresponsesaccepted)

36%citeaproblematicskillsshortageforbusinessintelligence&analytics

DataLakesSuccessWill“TakeaVillage”


MostExpectTimetoValueof>6Months

7%

15%

35%

31%

11%

0%

Wewillseevalueimmediately

1monthto6months 7monthsto12months

13monthsto24months

25monthsto36months

Morethan36months

Fornewinitiativesintheareaofbigdataandanalytics,howlongdoyouthinkitwilltakeforyourorganizationtostartseeingsignificantbusinessvalue?(Percentofrespondents,N=475)


FundamentalDataLakeProcessesCaptureandaggregatedata

Prepareandtransform

Discoverandexplore

Buildmodelsandanalyze

Visualizeandreport

Maintainandsupport


HadoopDataLakeImplementationPlans

AlreadyusingHadoop,20%

VeryinterestedinHadoop,37%

SomewhatinterestedinHadoop,27%

NotatallinterestedinHadoop,5%

NotfamiliarwithHadooptechnology,8%

Don’tknow,3%

Howwouldyourateyourorganization’sinterestinimplementingHadoop?(Percentofrespondents,N=475)


HowHadoopDataLakesWillImpactDataWarehouses

Hadoopwilllargelyreplaceourexistingdatawarehouse,26%

Hadoopwilloffload/optimizeour

existingdatawarehouse,36%

Hadoopwillbeusedonlyforlimiteddatawarehouse-like

functions,28%

NoplanstouseHadoopforanydatawarehouse-like

functions,11%

HowdoyouanticipateHadoopwillfitagainstyourorganization’straditionaldatawarehouseapproach?(Percentofrespondents,N=94)


TypesofHadoopDistributionsPlanned

Pureopensourcedistribution(i.e.,ApacheHadoop),24%

Commercialdistribution(e.g.,Cloudera,MapR,Hortonworks,etc.),35%

Hybridapproach(i.e.,someopensourcecombinedwith

somecommercialdistributions),40%

Don’tknow,1%

WhichofthefollowingdescribesthetypeofHadoopdistribution(s)yourorganizationiscurrentlyevaluating?(Percentofrespondents,N=300)

Zaloni Confidential and Proprietary - Provided under NDA

Data lake challenges and complications

Building: Managing: Delivering:

• Ingestion

• Lack of Visibility

• Privacy and Compliance

• Quality Issues

• Reliance on IT

• Reusability

• Rate of Change

• Skills Gap

• Complexity


Zaloni’s data lake solution

• Ingestion

• Lack of Visibility

• Privacy and Compliance

• Quality Issues

• Reliance on IT

• Reusability

• Rate of Change

• Skills Gap

• Complexity

Managing: Delivering:

Govern the data in the lake

• Cleanse• Secure

• Operationalize

Enable the data lake

• Ingest• Organize• Catalog

Building:

Engage the business

• Discover• Enrich

• Provision


Data Lake 360: Zaloni’s holistic approach to actionable big data

1. Enable the lake2. Govern the data

3. Engage the business

• Foster a data-driven business through self-service data discovery and preparation

• Safeguard sensitive data and enable regulatory compliance

• Improve data visibility, reliability and quality to reduce time-to-insight

• Leverage the full power of a scale-out architecture with an actionable, scalable data lake


Data Lake 360: Zaloni’s holistic approach to actionable big data


Data lake reference architectureConsumption

ZoneSource System

File Data

DB Data

ETL Extracts

Streaming

TransientLoading Zone

Raw Data Refined Data

Trusted Data

DiscoverySandbox

Original unaltereddata attributes

Tokenized Data

APIs

Reference Data Master Data

Data WranglingData DiscoveryExploratory Analytics

Metadata Data Quality Data Catalog Security

Data Lake

Integrate to common formatData ValidationData CleansingAggregations

OLTP or ODS

Enterprise Data Warehouse

Logs(or other unstructured

data)

Cloud Services

Business AnalystsResearchersData Scientists

Challenge: The company needed a more cost-effective, flexible and expandable data processing and storage environment that would reduce mainframe load and mainframe support risk

Solution: Zaloni built a data lake architecture to offload mainframe data security into Hadoop leveraging the Bedrock data lake management platform

Zaloni Enables EDW Augmentation That Saves Millions

GLOBAL CONSUMER INSIGHTS FIRMIndustry: Market ResearchCompany Description: Top 10 Market Research FirmTechnical Use Case: EDW AugmentationBig Data Technologies: Zaloni Bedrock, MapR, ZookeeperDeployment: On premises

At a Glance


$5.2MILLIONannual savings

$4.4MILLIONprojected additional

savings

Nearly

50%REDUCTIONin mainframe usageconsumption

1M+records/secondthroughput rate

Results

Challenge: To develop a multi-vendor loyalty program required gathering information from a wide variety of sources, bring it all into a unified platform, and give marketers access to the data for customer targeting.Solution: Zaloni built a data lake to house all customer data, as well as an interactive visualization platform that enabled marketers to profile customers on selection (based on demographics, geography, etc.) for analysis.

Zaloni Enables 360˚ Customer View For Effective Loyalty Program

GLOBAL CREDIT CARD ISSUER Industry: Financial ServicesCompany Description: Global credit card issuerTechnical Use Case: Data Lake 360˚ - Agile AnalyticsBusiness Use Case: Customer 360˚ - Behavioral Analytics and Customer Segmentation Big Data Technologies:Zaloni Professional Services, MapR, Elasticsearch

Deployment: On premises


At a Glance

1Mcustomer sign-ups 22M

users

collecting data from 1M+

hits/dayon the customer

Results

in 3 weeks system



ESGFindingsontheValueofZaloniBedrock

KeyCustomerBenefitsSummary:• Dramaticallyreducedtimeto

implementBedrockversuscustom-developedtools

• Easeofoffloadingongoingenhancementsandoperationalmanagement

• Increasedanalystproductivitywithlessexpertiserequired

• Reducedtimetoinsightaddingtothebottomline

“Forevery300dataengineersouttheremaybeoneortwohasreallygoodHadoopexperience.Weestimated6-8months,and$2-3Mdevelopmenttorolloutjustthebasics,assumingwecouldfindthepeople.”

“Iwouldneedatleasttwoengineerstosupportandmaintainapplicationsovertime.Thisequatestoatleast$300KinstaffOPEXvs.ourlicensingcostwithBedrock.Nottomention,weareabletoleverageenhancementsthatserveZaloni’sentirecommunityofcustomers,notjustwhatourinternalpeoplerequest.”


EstimatedEconomicValueofZaloniBedrock

Table1.Three-yearTCO,ZaloniversusthePMO

Category Zaloni PMOHardware $250,000 $469,156Software $900,000 $904,870Infrastructure $27,500 $28,600MaintenanceandSupport $135,000 $660,974ProfessionalServices $17,500 $15,000StaffPersonnel $378,000 $1,312,250Totalthree-yearcosts $1,708,000 $3,390,850

Source:EnterpriseStrategyGroup,2016.


ITInvestmentJustification

14%

19%

19%

22%

27%

32%

35%

39%

Speedofpayback

Reductionincapitalexpenditures

Reducedtime-to-marketforourproductsorservices

Improvedregulatorycompliance

Reductioninoperationalexpenditures

Businessprocessimprovement

Returnoninvestment

Improvedsecurity/riskmanagement

WhichofthefollowingconsiderationsdoyoubelievewillbemostimportantinjustifyingITinvestmentstoyourorganization’sbusinessmanagementteamoverthenext12months?(Percentofrespondents,N=633,threeresponsesaccepted)


ThankYou

EnterpriseStrategyGroup|Gettingtothebiggertruth.™

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NikRouda,[email protected]

Webinar - Risky Business: How to Balance Innovation & Risk in Big Data

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