Cloud Computing and Data Governance

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Cloud Computing and Data Governance

  1. 1. TRILLIUM SOFTWARE 2013 CUSTOMER CONFERENCEBoth Sides NowCloud Computing & Data GovernancePresented By:Nigel TurnerVP InformationManagement Strategy1
  2. 2. Confused? I was…“Ive looked at cloudsfrom both sides nowFrom up and down, andstill somehowIts cloud illusions IrecallI really dont knowclouds at all”Both Sides NowJoni Mitchell 1967
  3. 3. Cloud Computing – theWikipedia view
  4. 4. Cloud Computing – Somealternative definitions “Cloud computing is the delivery of computing as a servicerather than a product, whereby shared resources, software, andinformation are provided to computers and other devices as ametered service over a network (typically the Internet).”(Wikipedia) “Internet or network based subscription services forapplications, platforms or infrastructure” (IBM) “Marketing term for the technologies that provide computation,software, data access, and storage services that do not requireend-user knowledge of the physical location or configuration ofthe system that delivers the services.” (Trillium Software)
  5. 5. Cloud Computing –core elements Provision of services via the Internet / network Virtual not physical allocation of resources Multi-tenanted hosting Pay as you use not outright purchase (cfutilities) Cloud is a disruptive technology as it providesa clear alternative model to outright purchaseof hardware, platforms & applications
  6. 6. Cloud Computing – howit can be offered Public/private/hybrid options Public – via the internet Private – via an intranet Hybrid – combination
  7. 7. Cloud Computing – what canbe offered Infrastructure as a service (IaaS) Hosted hardware, storage and servers Key providers include Amazon, Google Platform as a service (PaaS) Access to an externally managed platform forapplication development & integration Key providers include AT&T, MS (Azure), Rackspace,Jaspersoft Software as a service (SaaS) Access to software applications not managed in-house Thousands of examples…
  8. 8. Examples of SaaS
  9. 9. Cloud Computing: potentialbenefits (1) Speed to deploy new applications &services Greater standardisation Scalability & elasticity Lower initial implementation costs –CAPEX to OPEX Better cost control and lower internal ITcosts (e.g. help desks)
  10. 10. Cloud Computing: potentialbenefits (2) Benefits to SMEs who cannot afford topurchase Try before you buy options – benefitsboth customers & suppliers Self-service and self-configuration ofservices Better and faster user adoption Potentially improved performance Automatic data back ups
  11. 11. And senior executives likeit…1255% - Cloud improves effectiveness(87% Leaders)58% - Cloud improves business processes(90% Leaders)59% - Cloud stimulates innovation(93% Leaders)Source: Forbes Insight / Cisco global survey of 532 Senior Executives(May 2013)
  12. 12. Cloud Computing – barriers& risksDATADATASECURITYSECURITY& PRIVACY& PRIVACYCONCERNSCONCERNSCOMMERCIALCOMMERCIAL& OPERATIONAL& OPERATIONALFACTORSFACTORSAPPLICATIONAPPLICATION& DATA& DATAINTEGRATIONINTEGRATIONCHALLENGESCHALLENGESLEGAL &LEGAL &REGULATORYREGULATORYRESTRICTIONSRESTRICTIONS
  13. 13. Barriers: Data Security &Privacy Concerns Many organisations are reluctant to allowtheir data & applications to be physicallyheld outside their immediate control Moving personal information into theCloud may increase the chances ofmisuse and security breaches BUT… are hosted services less securethan in-house?
  14. 14. Barriers: Legal &Regulatory Restrictions Data protection laws (e.g. EU Data ProtectionActs) restricts where data can be heldphysically – default is not outside EU unlessspecial provisions made Industry specific regulations (e.g. Finance) alsorestrict where data can be held As Cloud hosting is virtual difficult to track andverify where data is physically held If data is misused, who is responsible?
  15. 15. Barriers: Commercial &operational factors Reduces CAPEX but some claim higher OPEX willnegate OPEX savings Creates a commercial & technical dependency onthe supplier Potential for supplier downtime and loss ofservice Broadband speeds variable – e.g. rural areas Immature & volatile market so choosing reliableand long term providers difficult
  16. 16. Barriers: Application &Data Integration Public Cloud customers have to work out howto integrate existing in house IT investmentswith new Cloud services Many potential Cloud customers do not havesufficiently virtualised in-house applications toenable them to integrate Cloud might encourage greater fragmentationof applications
  17. 17. So what’s the impact of Cloud onData Governance?New DataQuality & DataGovernancechallengesWhat do we needto do?Changing DQand DG roles &skills
  18. 18. Cloud Computing – the DG impact• DG / DQ will be key toCloud migration success –before, during and aftermigration• Internal and external dataintegration will become key• Could improve DG as fewerdevices will hold data• Host and applicationcompanies may offerDQaaS• Cloud will require anenhanced focus on datagovernance – within andoutside the enterprise• Organisations may losephysical control of data• DG / DQ SLAs (EULAs) willbe needed with data hosts/ suppliers• Legal & regulatorycompliance becomes amajor challenge
  19. 19. Cloud & new Data Governance: thechanging landscapePREDOMINANTLYBATCH DQCUSTOMERORGANISATIONFOCUSPROCEDURALFOCUS MAINLYWITHINTHE ENTERPRISETHE TRADITIONALDG LANDSCAPESUPPLIERORGANISATIONFOCUSPREDOMINANTLYREAL TIME DQGROWING FOCUSOUTSIDETHE ENTERPRISECOMMERCIALDG LANDSCAPEIN THE CLOUD
  20. 20. Moving to the Cloud –potential DQ / DG involvementPreparing data for migration• Scoping and scaling data to be migrated• Evaluating its suitability for integration with other data sources• Undertaking source data rationalization & cleanseMigrating to the cloud environment• Profiling data in advance of data migration• Enhancing data in preparation for migration• Maintaining DQ during ETL processesManaging data in the cloud• Enforcing business rules to be applied in the Cloud environment• Auditing data to ensure security, adherence and quality• Supporting data governance activities
  21. 21. Cloud Computing – thefuture Cloud has arrived and willgrow Drives & driven by Big Data,Data Virtualization etc. For SMEs Cloud will becomethe norm Larger organisations likelyto evolve to a Hybrid model,with a mix of internally andexternally sourced services
  22. 22. So what should we as datamanagement professionalsdo to prepare ourselves? Understand and get involved in any currentCloud Computing strategies underway in yourorganisation Ensure that the data management opportunities& challenges of Cloud are understood and takeninto account in these strategies Participate in due diligence of potential Cloudsuppliers Plan for the the new challenges of security,compliance and governance
  23. 23. A final thought…“It’s not the will towin but the will toprepare to win thatmakes thedifference”Bear Bryant – US Football Coach1913 – 1983
  24. 24. QuestionsBoth Sides Now:Cloud Computing & Data Governance25

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