Create an effective data management strategy to gain actionable insights and increase efficiency
Data is a crucial asset for any organisation, regardless of size or industry, however lack of proper data management can create inconsistent data sets, inefficiencies and data quality problems which prevent you from using the data to guide strategic decisions and leads to higher costs. In order to gain value from the data, you need to know what data you have, where it is, and how to use it.
You need a data lifecycle strategy in place to ensure that data is classified, stored, protected, backed-up and expired appropriately. This strategy needs to take into account the different user types and their data access requirements and ensure the solution encompasses cost efficiencies, high performance and availability.
As a leading provider of data centre consultancy services, Ultima maintain partnerships with leading technology vendors. Our team of certified specialists are able to deliver a broad range of storage solutions from block, file, unified and object, to software defined and hyper-converged solutions.
The three pillars upon which an effective data lifecycle strategy is built are:
Your data is critical to keeping your business running. Avoiding data loss and keeping costs in check are the main priorities, but balancing these objectives can still be a monumental challenge. With workloads accelerating to multi-cloud ecosystems and workers more often operating remotely, data is harder to manage and control than ever before.
Veeam Backup & Replication delivers dependable availability across all cloud, virtual and physical workloads with a simple, flexible and reliable solution. Protect your data no matter the location or workload type with powerful backup and instant recovery options.
Organisations can typically save anywhere from between 30-50% on storage expenditure whilst reducing risks with an effective data lifecycle strategy. These savings can typically be found by utilising modern storage and cloud platforms with effective tiering, archiving, classification and removal of ROT”.