Research by McKinsey found that about 90% of cloud value is about faster time-to-market, innovation, increased resilience, and cost savings in operations.
But not only that. Thanks to the cloud you can have all the data complete and accurate at the exact moment when you create the need. That’s why having an integrated, high-performance cloud or hybrid architecture has become an important operational necessity for all organizations.
Data integration in the cloud combines the power of traditional integration methods with agile approaches and data driven solutions. As we have seen in the webinar dedicated to Master Data Management and related management of product information or in that related to the value of customer data, a modern integration provides quality-related functions, cataloguing and information management, as well as the complete management of all sources (new or existing).
When data integration is agile and complete, it is able to facilitate the circulation of information and thus make available all the potential of data and what it entails. This can be translated with a simple concept: the integration of data in the cloud responds to the real need for an infrastructure (or a solution) to be able to reach all the information and people, at the right time. This is a key aspect for all organizations, regardless of industry or size, that must juggle increasingly hybrid and distributed environments.
Organizations are often so eager to jump into the cloud that they rush to migrate solutions without considering features like automation or reference architectures. This can have negative effects, such as poor security and IT resilience, not to be taken lightly.
Why? Using a more resilient architecture can reduce downtime by almost 60% of migrated applications.
Companies are also developing a tendency to focus their efforts in the cloud on application migration, as a matter of urgency. But this is not a strategy, it is a race without a goal, which results in a disjointed set of applications that certainly do not improve its performance. For example, in the process of data capture and transformation, the workload of many systems increases rapidly, requiring a lot of server-side resources, and then shrinking again. In these cases, an elastic system can automatically acquire the necessary resources, and then reallocate them once the peak demand is over.
Let us also focus briefly on collaboration: centralizing services, data management becomes homogeneous, increasing cooperation. The resources, but also the services, can in fact be shared on a large scale between the stakeholders of the different areas, in addition to being used on the various hybrid platforms of data integration.
And now come back to the title of our post today: Data in the cloud, are you doing it right?
The cloud can be used well, as of course be misused. You need to be able to focus on the factors that create value for data integration in this environment.
This means not only being able to take advantage of innovative, fast and agile technology, but also adopting a new way of working, making the activities better and more performing, both in terms of technology and business.
In this way organizations can achieve success and succeed.