Four data management trends that will help drive innovation

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It’s no secret that data is vital for today’s modern enterprises, it’s the lifeblood of every organization. However, how we interact with that data is changing, and to win the digital transformation game, companies must adopt an innovative approach; not only for managing and mining their data, but also ensuring that information is always available. Embracing an intelligent data management process is vital to ensure agility and business acceleration.

Looking at the year ahead, we expect to see four prevailing trends that will shape the industry by helping IT teams best manage data, and move from working in a vacuum, to being fully aligned with the business’ goals, and having direct impact on future operations of the enterprise.

1. The rise in multi-cloud usage and exploitation and shift of workloads off-premises

Across many industries, deployment models for data stores are increasingly expanding into a mix of on-premises, SaaS, IaaS, managed cloud and private cloud. As enterprises shift more workloads off-premises, businesses will continue to leverage the cloud even further. Multi-cloud infrastructures will be fully embraced by IT teams in 2019.

Most importantly, these multi-cloud implementations will become increasingly diversified across different platforms. By selecting the cloud environment best suited to the data, CIOs will be able to optimize how information is managed and accessed by internal teams. And from a long-term perspective, diversification will help enterprises minimize risk, and at the same time remain agile, improve time to market, boost innovation and optimize cost.

2. Greater use of flash deployment thanks to a better supply and better pricing

Flash memory usage for intelligent data management has historically faced two challenges: slow production rates, and the high technology costs. Now, after a decade of production ramp-up, the cost of these units is falling due to the increased supply. This will result in enterprises implementing more instances of flash memory throughout the operational recovery tier in 2019.

This greater use of flash storage will allow IT teams to bring virtual machines online almost instantaneously for data and application recovery. In addition, these devices will enable internal groups to use backup data for patch testing, DevOps and other behind the scenes uses. As such, CIOs will have greater insight into operations, and elevate their role where they will have a direct impact on enterprise decision-making and overall digital transformation.

3. Predictive analytics and how its use of telemetry data will become more mainstream

One of the main challenges that the IT teams are facing is that with the growing complexity of infrastructure and applications deployed, it’s getting harder to monitor and analyze them effectively. While everyone is trying to jump on an artificial intelligence (AI) bandwagon, promises of AI, automation and machine learning (ML) won’t be fulfilled right away. That’s why it makes more sense for IT teams to focus on the notion of predictive analytics.

Predictive analytics, based on telemetry data, can offer CIOs and their teams, detailed insights into where all the data lives, how it is being used and who is using it most frequently. With growing and diverse environments and data stores, understanding such information quickly, and with greater clarity, is essential for implementing intelligent data management. This not only will ensure continuous operations, but also reduce the administrative burden of keeping systems optimized – a vital capability as infrastructures become more complex, and service level requirements are more stringent.

4. Versatilist positions: Talent shortages that will lead to the new IT operating model of the “versatalist”

Talent shortages, combined with IT convergence, the use of public cloud and SaaS-based applications are causing many individuals in IT to be a “versatalist,” and have greater breadth in their skill sets, rather than a deep focus on only one area. Moreover, as IT teams now increasingly work in close collaboration with various departments in the organization to accelerate business growth, there is a high demand for administrators who not only understand technology but have greater insight into how IT impacts the business.

We will see more and more companies employing this operational model, where CIOs assist C-level executives in maintaining the balance between technology and business, while IT teams increasingly take a more horizontal view on technology that combine technology and business requirements.

By addressing these four innovative IT trends, CIOs will be able to manage data in a more intelligent way, which is the key to business acceleration in the age of AI and rapid digital transformation. By optimizing where data is stored and ensuring it is accessible at all times, companies will be able to respond faster to any business needs, significantly improve efficiencies and have far greater agility to deliver on their charter to deliver digital initiatives that help grow the business.

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