Too many companies are spinning the wheel, buried in petabytes of unusable data, despite the billions of dollars spent on digital transformation. As a result, many are plagued by initiatives that do little to advance their strategic agenda or add value to their business.
according to Forrester Research Companies are investing three times as much digital transformation as other IT programs, but progress is slow. Companies say they are still in the early stages of their transformation journey, with 70% admitting poor performance. This indicates that efforts are not meeting expectations or leading to sustainable change. In a survey by the Boston Consulting Group (BCG) ..
The disconnect reveals the inconvenient truth. No matter how innovative or well-designed your digital roadmap is, your data center, edge, and cloud.
“Data modernization is about starting your journey from your business goals and thinking about your data first. What data you need, where you use it, or how you can get the most out of it,” says Hande Sahin. -Bahceci explains. HPE GreenLake Marketing, Senior Marketing Leader for Data and AI. “But data architecture is usually a retrofit for most organizations. Start by modernizing your infrastructure, your applications, and your data first. All you need to do is build your data strategy and start with data first, not last. It’s about planning modernization. “
Pillar of data modernization
Why is data-first modernization essential to digital transformation and ultimately business success? The answer is that without a proper modernization strategy, your data will remain confused and spread across legacy systems and multiple silos. This multi-generational IT sprawl phenomenon creates significant hurdles for harnessing the true value of data.
For example, new data is being generated at the edge that is essential to facilitate insights, but only a few are effectively used as part of strategic data and analytics programs. At the same time, significant data and systems are being pushed to the cloud, even though they are not suitable for all workloads and apps and may incur unexpected costs among other issues.
“If you don’t have a modern data management system in place, it can lead to fragmented and isolated operations that aren’t managed in a coordinated way,” Sahin-Bahceci claims.
For data-first modernization, HPE advises enterprises to adopt the following key principles: Data is a core asset and a strategic part of your business goals, so it should be managed by your enterprise, not your public cloud vendor.
Important data is everywhere, and whether it’s an edge, a data center, or an application that has moved to the cloud, it needs to be accessible at digital speed from its native location.
Data has rights and sovereignty and requires governance policies on security, privacy and access.
The public cloud is not a de facto platform for industries and applications operating under particularly stringent regulatory requirements.
A unified view of data from the edge to the cloud and a single operating model improve performance and a great user experience. Draw a path to the latest data The journey begins with discovering […]