Managing Data Flow in a Multicloud Environment

Organizations today recognize that cloud is a key enabler of digital transformation. Simply put, the cloud offers the scale and speed needed for fast execution and informed decision making.

A recent Cisco and IDC report found that the most cloud advanced organizations see an annual benefit per cloud-based application of $3 million in additional revenue and $1 million in cost savings.

But with adoption comes challenges. Only 44 percent of C-level executives say they’ve optimized their cloud strategies.

In today’s digital economy, data has grown to become one of the most important assets a business can own. At a time when businesses need better quality, more trustworthy data faster than before, data management becomes more complex across multiple ecosystems and applications.

Many enterprises consider multicloud deployments to build different stacks for different tasks. However, the integration becomes challenging because of the proliferation of applications, users and data from varied constituents within organizations.

That is why enterprises require a distinct competence in data management as part of their enterprise cloud strategy. When you think about the enormous growth in the amount of data collected, companies struggle to understand, let alone quantify, the risk.

It’s only by harnessing that data will an organization be able to drive new insights and strategies that inspire innovative products and services to its customers.

In a cloud context, whether it be to accelerate software delivery, provide self-service models to developers, automate workflows or enhance IT productivity, data must flow - enabling access to those who need it, securely and rapidly.

So what’s getting in the way of data availability? We call this data friction. Data friction is the resistance encountered when constraints on data prevent people from meeting the ever-growing demands of the business.

Data friction emerges when data operators, including DBAs, system administrators, security and compliance teams, struggle to manage, secure and deliver data environments to the data consumers, who need to access, manipulate and share that data to drive production.

Data friction increases exposure to risk, prevents application acceleration, delays data analytics, impedes machine learning, and most of all - inhibits thriving in the cloud. Data friction simply kills innovation.

Leveraging an enterprise-ready platform, like Delphix, can help reduce data friction between data operators and data consumers, ensuring that sensitive data is secure and the right data is made available via self-service to the right people, when and where they need it. The only way businesses will survive in the data economy is by liberating data to the right teams in a fast, simple and highly secure manner.