Cloud Computing and Data Governance
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1) The document discusses cloud computing and its implications for data governance. Cloud computing refers to delivering computing as an internet-based service rather than a product. It allows for virtual allocation of resources and pay-per-use models. 2) Moving to the cloud presents both opportunities and challenges for data governance. It could improve governance through fewer devices holding data but requires enhanced focus on governance within and outside the organization. Organizations may lose physical control of their data. 3) Adapting to the cloud will change data governance roles and skills. Governance professionals should get involved in cloud strategies, ensure data challenges are addressed, and plan for new issues around security, compliance, and partner governance. The cloud computing landscape
Cloud Computing and Data Governance
- 1. TRILLIUM SOFTWARE 2013 CUSTOMER CONFERENCE Both Sides Now Cloud Computing & Data Governance Presented By: Nigel Turner VP Information Management Strategy 1
- 2. Confused? I was… “I've looked at clouds from both sides now From up and down, and still somehow It's cloud illusions I recall I really don't know clouds at all” Both Sides Now Joni Mitchell 1967
- 3. Cloud Computing – the Wikipedia view
- 4. Cloud Computing – Some alternative definitions “Cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a metered service over a network (typically the Internet).” (Wikipedia) “Internet or network based subscription services for applications, platforms or infrastructure” (IBM) “Marketing term for the technologies that provide computation, software, data access, and storage services that do not require end-user knowledge of the physical location or configuration of the system that delivers the services.” (Trillium Software)
- 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 (cf utilities) Cloud is a disruptive technology as it provides a clear alternative model to outright purchase of hardware, platforms & applications
- 6. Cloud Computing – how it can be offered Public/private/hybrid options Public – via the internet Private – via an intranet Hybrid – combination
- 7. Cloud Computing – what can be 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 for application 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…
- 10. Cloud Computing: potential benefits (1) Speed to deploy new applications & services Greater standardisation Scalability & elasticity Lower initial implementation costs – CAPEX to OPEX Better cost control and lower internal IT costs (e.g. help desks)
- 11. Cloud Computing: potential benefits (2) Benefits to SMEs who cannot afford to purchase Try before you buy options – benefits both customers & suppliers Self-service and self-configuration of services Better and faster user adoption Potentially improved performance Automatic data back ups
- 12. And senior executives like it… 12 55% - 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)
- 13. Cloud Computing – barriers & risks DATADATA SECURITYSECURITY & PRIVACY& PRIVACY CONCERNSCONCERNS COMMERCIALCOMMERCIAL & OPERATIONAL& OPERATIONAL FACTORSFACTORS APPLICATIONAPPLICATION & DATA& DATA INTEGRATIONINTEGRATION CHALLENGESCHALLENGES LEGAL &LEGAL & REGULATORYREGULATORY RESTRICTIONSRESTRICTIONS
- 14. Barriers: Data Security & Privacy Concerns Many organisations are reluctant to allow their data & applications to be physically held outside their immediate control Moving personal information into the Cloud may increase the chances of misuse and security breaches BUT… are hosted services less secure than in-house?
- 15. Barriers: Legal & Regulatory Restrictions Data protection laws (e.g. EU Data Protection Acts) restricts where data can be held physically – default is not outside EU unless special provisions made Industry specific regulations (e.g. Finance) also restrict where data can be held As Cloud hosting is virtual difficult to track and verify where data is physically held If data is misused, who is responsible?
- 16. Barriers: Commercial & operational factors Reduces CAPEX but some claim higher OPEX will negate OPEX savings Creates a commercial & technical dependency on the supplier Potential for supplier downtime and loss of service Broadband speeds variable – e.g. rural areas Immature & volatile market so choosing reliable and long term providers difficult
- 17. Barriers: Application & Data Integration Public Cloud customers have to work out how to integrate existing in house IT investments with new Cloud services Many potential Cloud customers do not have sufficiently virtualised in-house applications to enable them to integrate Cloud might encourage greater fragmentation of applications
- 18. So what’s the impact of Cloud on Data Governance? New Data Quality & Data Governance challenges What do we need to do? Changing DQ and DG roles & skills
- 19. Cloud Computing – the DG impact • DG / DQ will be key to Cloud migration success – before, during and after migration • Internal and external data integration will become key • Could improve DG as fewer devices will hold data • Host and application companies may offer DQaaS • Cloud will require an enhanced focus on data governance – within and outside the enterprise • Organisations may lose physical control of data • DG / DQ SLAs (EULAs) will be needed with data hosts / suppliers • Legal & regulatory compliance becomes a major challenge
- 20. Cloud & new Data Governance: the changing landscape PREDOMINANTLY BATCH DQ CUSTOMER ORGANISATION FOCUS PROCEDURAL FOCUS MAINLY WITHIN THE ENTERPRISE THE TRADITIONAL DG LANDSCAPE SUPPLIER ORGANISATION FOCUS PREDOMINANTLY REAL TIME DQ GROWING FOCUS OUTSIDE THE ENTERPRISE COMMERCIAL DG LANDSCAPE IN THE CLOUD
- 21. Moving to the Cloud – potential DQ / DG involvement Preparing data for migration • Scoping and scaling data to be migrated • Evaluating its suitability for integration with other data sources • Undertaking source data rationalization & cleanse Migrating to the cloud environment • Profiling data in advance of data migration • Enhancing data in preparation for migration • Maintaining DQ during ETL processes Managing 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
- 22. Cloud Computing – the future Cloud has arrived and will grow Drives & driven by Big Data, Data Virtualization etc. For SMEs Cloud will become the norm Larger organisations likely to evolve to a Hybrid model, with a mix of internally and externally sourced services
- 23. So what should we as data management professionals do to prepare ourselves? Understand and get involved in any current Cloud Computing strategies underway in your organisation Ensure that the data management opportunities & challenges of Cloud are understood and taken into account in these strategies Participate in due diligence of potential Cloud suppliers Plan for the the new challenges of security, compliance and governance
- 24. A final thought… “It’s not the will to win but the will to prepare to win that makes the difference” Bear Bryant – US Football Coach 1913 – 1983
- 25. Questions Both Sides Now: Cloud Computing & Data Governance 25