Data trends, particularly BYOD, are also something that companies need to bear in mind. Companies must consider the additional processes and resources required to support endpoint data back-up, and control and access from remote devices, such as smart phones. The complexity of data environments means that it makes more sense to automate data management processes, based on the pre-determined policies set through the service level cataloguing.
When data policies are reliably automated, this not only ensures that the policy is seamlessly adhered to, it also reduces management costs, by simplifying data management operations. Automating the archiving of data, both structured and unstructured, according to internal cataloguing processes, results in massive cost reduction and improved IT department efficiency.
Companies put themselves at a disadvantage when they neglect to run their own IT departments by the same high standards that they expect from a third-party service provider. Generally, there is not enough standardisation in IT departments, particularly, in large enterprises. Unless an organisation has full visibility of its data, it is impossible to make informed and effective data-related decisions on cataloguing, cost analysis and automation. By learning from MSPs' engagement and delivery model, enterprises will be better equipped to ensure that their data is stored both effectively and efficiently.
Sign up for CIO Asia eNewsletters.