Cloud data management on the road to intelligent data management
Cloud data management on the rise – road to intelligent data management
Organizations invest in digital initiatives with technologies such as cloud, Big Data , AI and IoT. Data management practices urgently need improvement the 2019 Veeam Cloud Data Management Report states as most organizations can’t meet user demand for uninterrupted data access. An overview and comments.
73% of organizations admit to not being able to meet users’ demands for uninterrupted access to data and services.
Cloud data management adoption is on the rise and intelligent data management is what organizations try to do although there are serious data management maturity differences across the globe.
As the name indicates cloud data management enables to manage data across various cloud environments, often in a hybrid cloud and multi-cloud approach, including on-premises storage. On top of the traditional benefits of the cloud (the flexibility of anything-as-a-Service, scale, costs, etc.) the goal is to have additional protection, ensure uninterrupted access, enable disaster recovery and back up in the cloud to provide this uninterrupted access, and better leverage the value of data, today’s proverbial new oil if managed well in the broadest sense.
Veeam Software, the Switzerland-based provider of backup, disaster recovery and intelligent data management software enabling cloud data management has released its 2019 Veeam Cloud Data Management Report, based upon a survey by Vanson Bourne.
Pointing out that data management is critical in the ongoing desire of organizations to leverage technologies such as the cloud, Big Data, artificial intelligence and the Internet of Things in their digital transformation efforts, the report finds that 72 percent of respondents are looking to embrace cloud data management, “often by exploiting hybrid cloud capabilities, to ensure success and drive more value from their data”.
Data management challenges – most organizations can’t meet user’s demands for uninterrupted access
Citing IDC’s often mentioned forecast that the datasphere could reach 175 Zettabytes per year of data created, captured and replicated on a yearly basis by 2025, Veeam Software states that 73 percent of organizations that filled in the survey admit they are not able to meet users’ demands for uninterrupted access to data and services.
This would cost ‘the typical company’ $20 million each year, illustrating the impact of downtime on loss of revenue, productivity and consumer confidence.
The overall field of data management (the gathering, validation, storage, protection and processing of data to make sure it is accessible for users when needed in a reliable way) no doubt is further complicated as data models are in flux. The growing importance of edge computing and emerging use cases needing ever more computing capacity, storage, analysis, protection and management overall, are transforming the dynamics of where data gets stored to begin with.
Three-quarters of companies report using Software-as-a-Service (SaaS) platforms. Many are utilizing the cloud for their backup and recovery services, with 51% using Backup-as-a-Service (BaaS) and 44% using disaster recovery-as-a-service (DRaaS).
Moreover, many organizations struggle to protect data properly as breach after breach indicates and then we even haven’t touched upon all the potential in unused data – also of the dark kind – that doesn’t even reach a data lake or some other repository/system, so it can serve new possibilities through machine learning in later stages.
Most data management challenges are known. From culture and skills to the sheer fact that things do evolve very fast and we’ve already passed the point where all data being generated could be stored, even if we wanted to, let alone had a good reason to as there are rules and regulations to be followed as well of course in relation with particular types of data and the purposes they are created or collected for.
