Not a day goes by that we don’t come across a business article discussing the benefits of data and its ability to transform organizations. We read about a new world of possibilities, with data ushering in new customer experiences and powering the next wave of applications that will connect data to insights and to outcomes. But the realities of where organizations are today, and where they want to go, are far from the same.
What stands in the way of innovation is complexity – complexity that spans across people, process, and technology rooted in how data and data infrastructure are managed. ESG recently completed a study that found organizations on average rely on 23 different data management tools! That’s an overwhelming amount of disparate hardware and software (not to mention the people silos) needed to manage the lifecycle of data and data infrastructure — from how data is accessed, protected, governed, and analysed to how infrastructure is deployed, provisioned, replicated, upgraded, and mobilized.
Complexity impacts everyone
Organizations have lived with this complexity for years — and yet it’s precisely what stands in the way of transformation. How so? It comes down to today’s approach to data and infrastructure management and the way it impacts everyone. For starters, think about storage and the headaches that IT deals with every day. Countless time is spent tuning, maintaining, and upgrading storage across fleets. Trade-offs must be made between resiliency, efficiency, and performance. Provisioning is manual and burdened with guesswork. Cloud seems like a potential answer, but data and apps are needed everywhere.
The impact of complexity is also far broader than IT. Data innovators — those who turn bits-and-bytes into new apps and insights — can’t get access to data fast enough. Manual processes inhibit data utilization and slow down time-to-value. Data managers are challenged to streamline data access, while at the same time protecting their crown jewels within an ever-increasing threat landscape.
So, what can be done? Reimagine the data experience.
Watch this short video to learn more:
http://The Future of Data-Driven Transformation – YouTube
HPE Storage is a proven leader in enterprise storage. Organizations in virtually every industry — including healthcare, financial services, and manufacturing – have long trusted us as guardians of their data. But now, our customers need us to do more, and that requires expanding our mission — from being the leader in enterprise storage to becoming the leader in data management. That’s what we’re doing today.
For the past 18 months, we have been at work on a new vision that reimagines data and infrastructure management. A vision that drives agility and innovation. A vision that spans across clouds and empowers organizations. It’s a vision for a new data experience that we call Unified DataOps.
Unified DataOps upends conventional approaches to help organizations accelerate their data-driven transformation — creating value for everyone from IT managers to data innovators. Imagine, instead of tuning and maintaining infrastructure, IT managers simply deploy cloud services with instant application provisioning. Instead of waiting days to access data, developers and data scientists get streamlined access on-demand. Instead of worrying about threats to data, data managers can set protection policies with a single-click wherever data lives.
This is the power of Unified DataOps.
Unpacking the blueprint for Unified DataOps
Unified DataOps is not just a desire, but a reality that’s possible with an original approach and new thinking. It embraces data, cloud, and AI to reimagine the data experience through data-centric policies and automation, cloud-native control and operations, and AI-driven insights and intelligence.
Data-centric policies and automation
Data has a continuous lifecycle spanning test/dev, production, protection, and analytics. It needs to be managed holistically from creation to deletion. Software that can only manage individual parts of that lifecycle is inefficient and creates visibility gaps. Unified DataOps, on the other hand, applies holistic data-centric policies and automation that collapses silos and unifies workflows across the data lifecycle. That means policies that manage how data is stored, accessed, protected, and mobilized — even how applications are provisioned — are data-centric and automated.
Cloud-native control and operations
Today, data and infrastructure management software lives on-premises. This isn’t ideal for several reasons: with data spanning from edge to cloud, visibility and control are limited, and more tools are needed to follow the data; on-premises software and supporting hardware need to be maintained, patched, and upgraded; and maintaining software requires maintenance windows, making it difficult to adopt new technology.
But what if you could stop following the data and just manage data wherever it lives from a single destination? Unified DataOps calls for cloud-native control and operations that enable you to manage all your data and infrastructure, from edge-to-cloud, through a single pane of glass. By abstracting data and infrastructure control away from physical infrastructure, organizations can manage their workflows from the cloud and orchestrate them wherever data lives — and gain faster access to features through cloud services.
AI-driven insights and intelligence
AI is a critical dimension of Unified DataOps. AI is transforming every industry with unprecedented intelligence, creating autonomous operations across manufacturing, transportation, and healthcare, to name a few. Just as we rely on Google Maps to see ahead and reroute us if needed, businesses need AI to be deeply integrated into data operations. Imagine being told you can avoid a disruption by making a network setting change, or improve app performance by rebalancing workloads and resources in a specific way, or provision applications instantly across your entire fleet without any planning or calcs. That’s the power of AI-driven insights and intelligence.
Achieving Unified DataOps with HPE
HPE Storage is redefining our mission and value for customers with this new vision. And today, we are delivering on the vision of Unified DataOps with the Intelligent Data Platform, the one data platform that connects applications to infrastructure, innovators to data, and automation to policies in a seamless, unified cloud experience wherever data lives.
Bringing together the Data Services Cloud Console, HPE Alletra, and HPE InfoSight – delivered as a service via HPE GreenLake, the Intelligent Data Platform uniquely powers a new data experience that collapses silos across people, process, and technology to unleash data, agility, and innovation for organizations.
Get ready to accelerate your data-driven transformation. The Intelligent Data Platform is changing the way storage and data are managed forever.
An article by:
Director, Product Marketing, HPE Storage
Hewlett Packard Enterprise