As much as we rely on data to deliver the business insights that drive competitive advantage, our ability to collect and store data hasn’t kept pace with our ability to manage it.
IT leaders are now tasked with managing a highly complex data environment with new applications and workloads generating data across public/private clouds and on-premises infrastructure.
At the same time, IT teams are also being asked to deliver a host of new digital services and experiences, but they lack the time, resources, and capacity to even begin many projects. These problems extend across the business, as research from Veritas shows that:
- businesses lose more than $2 million per year from data management challenges.
- 36% of IT leaders say employees are less efficient due to siloed data management.
- 38% of strategic decision-making is slowed because of ineffective data management processes.
AI and automation offer endless possibilities for digital transformation, but these capabilities also create exponential amounts of data to be managed. When we add into the mix the data generated by IoT networks, social media and new applications, the data management conundrum is being quickly compounded.
At present, we know internal technology teams are spending inordinate amounts of time simply managing the daily maintenance of their storage infrastructure. Legacy storage solutions simply weren’t designed with today’s data environments in mind. These solutions now place a constant handbrake on IT and business agility through performance issues and outages.
To begin operating effectively in this new environment, data management needs to do more than store data. Intelligent data management should be using AI to:
- learn how you utilise data
- advise where hybrid cloud data should be placed for access and efficiency
- guide your digital transformation investments
- enable you to manage, secure, govern, and control data throughout its lifecycle
In our new eBook: Preparing for disruption with agile IT, we suggest the best way to deal with dynamic and complex data challenges involves:
- Leveraging smarter infrastructure management through an efficient, fully integrated, automated, and cost-effective platform.
- Reducing hybrid complexity with greater visibility and control over hybrid cloud infrastructure environments.
- Automating the location and placement of workload and application data for performance and compliance purposes.
- Deriving faster value and extracting actionable insights from data by creating well governed data pipelines and repositories.
Our team of infrastructure specialists can work with you to understand your current technology environment, and where your opportunities lie for creating a more agile IT foundation. We can help you to implement the latest range of intelligent storage solutions from HPE, including HPE Primera, integrated with HPE Synergy and powered by Intel® Xeon® Scalable Family of processors - delivering a dynamic, fluid set of resources that you can automate and dynamically allocate in real-time, using a common API.