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Claranet | Data Management White Paper

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5 Improving Data Management for Infrastructure Transformation White Paper co-sponsored by 5 194.153.205.26 2001:0DB8:AC10:FE01 172.16.81.100 168.212.226.204 168.212.226.204 The business thinks IT understands the data it creates – It doesn't. IT roughly knows how much data exists. It sort of knows what type of data it is, but has very little idea of its content and what is important. Why should it? Only the business really knows what is important to the business. The business thinks IT understands what the organisation's compliance requirements mean to data lifecycle management – It doesn't. Until the audit or compliance departments encourage a conversation between them and IT, and until somebody is given the authority to join the dots and make the necessary policy, process, and technology change, then risk will continue to undermine even the most elegant service delivery model. IT requirements and budgets don't match. Nobody really knows what IT assets the business owns. This makes presenting a business case for change based upon cost very difficult. Base lining cost is a basic tenet of any business justification and yet most organisations are today embarking on cloud transformation initiatives without the foggiest idea of whether money will be saved, instead still adopting a 'one class fits all' policy. Data storage is over provisioned. Not all data is the same and neither is its use case or user. Some is structured, some is unstructured. Some needs to live next to the application for performance, some does not. For example, research suggests as much as 88% of unstructured data is 'cold' – not regularly accessed and 41% hasn't been modified in three years. Deleting or archiving this could save as much as 50% of storage costs. Data storage and protection services are ill defined and poorly aligned. Data protection is an insurance policy protecting against user or operator error, system failure, datacentre loss, malicious intent or degenerative bugs. Yet it's often poorly aligned with data storage and data protection. For example, stale or cold data can easily be deleted to free up valuable infrastructure resources. But what if statutory or regulatory compliance or business policy dictates where it is kept? The EU's General Data Protection Regulation comes into force in 2018. Most of its policies will be adopted into UK statute. There are big fines if you are unable to find certain data and these rules will apply to EU companies globally. This alignment is crucial to successful data management. Policy and process and technology are not joined up to maximum effect. Policy has to start with a business decision. The business and IT have to work together on process. Then IT will take care of the technology to support that process. This joined up approach is needed, yet in many organisations, responsibility is passed around and it often falls between the cracks. Right now, because it does fall between the cracks, no individual will take the bullet, but that is changing. Board members are increasingly on the hook. Even so, it's the business that will suffer without this joined up approach. 6 Problems Created Over 30 Years with Data and Infrastructure There are six main problems with data and infrastructure that have evolved over the last thirty years. 1 2 3 4 5 6

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