What if you could wave a magic wand and be 20 times more likely to beat your competitors in the marketplace and 11 times more likely to beat your own revenue goals by 10% or more? What if you could eliminate data silos? simplify IT management and scalability; deliver rich and satisfying experiences to users and customers; and harness new levels of intelligence to accelerate decision-making speed and deliver continuous streams of innovation?
All of this, and more, is not only possible, but accomplished by forward-thinking IT teams in every industry across the globe. None of these organizations have a magic wand. What they have in common is a new way of thinking about IT, which recognizes that the only way to achieve true differentiation and digital transformation is to put data first in every aspect of IT. ‘business.
This new approach to enterprise computing is best described by the concept of data-driven modernization. Data-driven modernization recognizes the reality that data, not technology infrastructure or the cloud, is key to today’s IT operating model. The proof of its strategic value can be found in the successes of companies that are ahead of the curve in putting data at the forefront of their business. According to a study conducted by Enterprise Strategy Group, data-driven leaders are:
- 20 times more likely to beat competitors to market through innovation, often over considerable time
- 11x more likely to exceed revenue goals by 10% or more
- 5x more likely to be highly resilient to data loss
- 4x more likely to be very satisfied with their jobs among developers and data scientists
- 3x more likely to prioritize applications over infrastructure1
What is data-driven modernization?
Data-driven modernization means unlocking trapped legacy data and capturing data from edge to data center and cloud. This means ensuring that all data is connected and usable wherever it resides, leveraging analytics and intelligence to design new processes. This means delivering rich experiences across billions of moments, accelerating the speed of decision-making by cutting through organizational lethargy, and “seeing around corners” to drive continuous innovation.
This requires a shift in focus for IT. Instead of modernizing IT by focusing on infrastructure or the cloud, it is prioritizing data as the foundation for digital transformation and differentiation. To make this shift, you need a data-centric enterprise computing platform from edge to cloud, allowing you to:
- Have visibility into every place where the data resides
- Place analytics closer to data, including at the edge and across multiple clouds
- Free all data trapped in silos, whether across data centers, multiple clouds, or edge locations
- Make all data accessible at digital speed, with frictionless movement between edge environments, data centers and clouds
Why is it necessary?
The previous wave of IT modernization, which placed a heavy emphasis on migrating as much as possible to the public cloud, proved insufficient for any business with multi-generational infrastructure and applications. For many applications, there is no urgent need (and huge potential expense and risk) to move business-critical data to the public cloud. A data-driven approach can help many companies solve these problems.
With more and more data being created at the edge, it is critical that edge data is not trapped in silos. You want analytics to be available as close to where the data is created as possible to create differentiated experiences and boost application performance. Data-driven modernization also supports business security and resilience in supply chains and business ecosystems.
With a data-driven approach, you break down silos and free trapped data, unifying data from multi-generational, multi-localized applications and infrastructure. You can get data and application insights from all locations, from edge to cloud to data center. Analytics and intelligence engines are current, up-to-date, real-time, and inclusive. Unified service delivery with frictionless movement of data simplifies governance, sovereignty, and lifecycle management.
How to start?
Transformation into a data-driven enterprise is challenging but entirely doable by leveraging the expertise, experience and proven best practices of key partners such as HPE GreenLake. With the right team, it is possible to break down the journey into identifiable steps that facilitate prioritization and enable continuous and measurable improvement. Having a common understanding of the role of data in your organization and having a common language for setting priorities are important ways for managers and IT teams to drive business initiatives forward.
The HPE GreenLake Edge-to-Cloud Platform provides a clear and consistent path to achieve data-driven modernization. HPE GreenLake delivers a unified cloud services experience that puts data at the center, with a stack based on analytics, AI, and machine learning; workload orchestration and data management services; and an open, elastic, partner-compatible platform. The illustration below provides an overview of how HPE GreenLake delivers the edge-to-cloud experience and can help you adopt a data-driven modernization approach for your business.
Take the next step
IT teams are under tremendous pressure to deliver on the promise of digital transformation. It’s important to remember that digital transformation doesn’t start with infrastructure or the cloud; it starts with data. Organizations that can harness the power of all their data are already reaping huge competitive advantages. The gap between data-haves and data-have-nots is widening due to the explosion of edge computing, the Internet of Things, AI, and other data-driven innovations.
To become a data-driven company, waving a magic wand may not be enough. But it can be accomplished over time with minimal disruption and maximum potential for true transformation for any organization willing to make the journey. For more information on how you can benefit from data-driven modernization on your enterprise IT platform, please see HPE Green Lake and review additional resources and articles on this special site.
1 “What distinguishes today’s data-first leaders from others», Business Strategy Group, March 15, 2022