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The Data Management Challenges of Multi-Cloud

For businesses, data carries a lot of promise. Data value promotes business growth, inspires innovation, and improves the consumer experience. While the volume and velocity of data are increasing, many businesses are still unable to realize the full potential of today’s data-driven environment.

They not only acquire and use a small portion of the data generated, but they also suffer from data management practices. This means that businesses are passing on fresh possibilities and revenue.

According to Gartner, by 2025, Cloud-Managed Services spending in the application software, infrastructure software, business process services, and system infrastructure technology segments will outpace spending on traditional IT solutions in the same categories.

Much of the cloud shift involves a concept known as multi-cloud.

Multi-Cloud-Managed Services - An Introduction

Today, there are multiple Cloud-Managed Services providers, all of which offer competitive rates and capabilities for IaaS, PaaS, and SaaS services. When businesses select multiple cloud service providers to support their application portfolio, the resulting architecture is known as multi-cloud deployment.

According to the most recent State of the Cloud research, 93% of organizations view a multi-cloud strategy as a critical component of cloud adoption. The following are some of the elements that make multi-cloud deployment appealing:

  • Flexibility in deployment
  • Improved business continuity
  • Leveraging specialized services in several clouds
  • Avoiding commitment to a single vendor

Multi-cloud deployment may also be the outcome of events such as mergers and acquisitions in which various companies began with distinct cloud platforms. As a result, applications’ data may be dispersed over many cloud platforms, posing numerous data management difficulties.

While using numerous clouds allows enterprises to choose from the finest solutions available to them without being limited to a single Cloud-Managed Service provider, it can result in some additional overhead in terms of complexity, security, visibility, and, perhaps most importantly, management.

Multi-Cloud-Managed Services – The Data Management Challenges

Without a doubt, the advantages of multi-cloud systems are numerous. Multi-cloud concepts provide better flexibility, improved efficiency, substantial agility & enhanced scalability for many enterprises.

The transition to a multi-cloud ecosystem is more than just a problem for IT departments. This shift, along with the expanding data sprawl, has a direct impact on business owners’ capacity to extract full value from data and, as a result, boost sales.

However, due to the increased difficulties of a multi-cloud space, you can’t expect the usual tools & tactics in your on-premises or hybrid system will be effective in a multi-cloud context.

Let’s take a closer look at those.

Data is no longer generated only in data centers. The amount of data generated by cloud security companies and by emerging technologies such as IoT and edge computing is increasing. However, according to the report, organizations only capture 56% of the theoretically available data through operations.

Attempting to capture all available data, on the other hand, would put a burden on the existing IT infrastructure and raise expenditures. That is one of the numerous reasons why businesses must reconsider data management. For example, recognizing and classifying data at the beginning of its lifecycle allows for faster data pruning, which results in cheaper expenses.

Data sprawl creates silos, making it harder to access data scientists and analysts who can translate that data into insights for decision-makers. Because competing groups have their own goals and so desire the opportunity to preserve and control particular data for themselves, organizational culture might result in additional silos.

Business owners must overcome both technological and social challenges to make data from silos accessible. Technology can be solved using automated solutions such as uniform policy procedures, while global data management and global standards can help integrate teams.

Data security is frequently ranked as one of the top issues of both IT and business leaders. Multi-cloud security, in particular, has its own set of challenges, such as inconsistent visibility across Cloud-Managed Services and a lack of coordination across different security components.

Data breaches are a concern in vulnerable contexts, with ramifications like financial consequences, regulatory costs to reputational expenses & privacy violations. However, the significance of security extends beyond that. Strong security is critical to realizing the full value of data because it ensures both continuous access to data and data integrity.

Data management success necessitates comprehensive visibility into data storage across on-premises and Cloud-Managed Services. This is more than just data democratization; it also includes storage unification and data management through a single pane of glass, regardless of where data is stored.

However, it is frequently an enterprise’s storage technology footprint that proves difficult, especially with the proliferation and cohabitation of many storage solutions. Furthermore, many organizations lack a unified data storage strategy.

According to the Rethink Data research, organizations only utilize around one-third of the data accessible to them. They frequently put the obtained data into enormous repositories and leave it to gather dust. Businesses frequently store and neglect data instead of gaining insights from it.

Understanding business objectives and the insights that organizations want to derive from their data is the first step in smart data collecting. These objectives define the type of data that should be collected.

Sorting through an enormous sum of data is a massive challenge with usability. Companies must address difficulties, data integration, overlapping devices & other problems affecting organizations’ capacity to derive useful business knowledge.

Embracing Multi-Cloud World

Multi-cloud architectures are like puzzles, and to solve them, data leaders must create and manage a sound underlying strategy. Everything is new to its business & a merged data-management layer is the standalone constant overall, assuring the secure transfer of data between warehouses, platforms & geographies by enhancing data teams’ productivity and efficiency.

They also help firms in extracting more value from their data and make more educated decisions, which is the ultimate silver lining desired, whether from one cloud or many. It’s an understatement to say that enterprise Cloud-Managed Services have gone mainstream, and it’s an even bigger understatement to suggest that multi-cloud is the present and future of cloud security companies’ deployment.

It might be difficult to manage your data estate across different cloud environments. As a unique value offering, Techmobius provides a centralized data management solution to meet your multi-cloud data management concerns.

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