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The cloud offers opportunities to utilize and profit from data that far outpace the capabilities of on-premises infrastructure. But many companies find migrating to the cloud is easier said than done. Daunting migration problems include understanding a company’s current data landscape, developing a migration strategy, and addressing new compliance, privacy, and security issues. They also involve knowing how to leverage the cloud to expand data access and accelerate discovery of monetizable insights.
To prepare for, manage, and successfully execute a cloud migration, companies need a trusted data management partner, like Infoverity, who has executed more than 750 migrations with clients all over the world.
Data infrastructure is not like wine — it doesn’t get better as it ages. Legacy architectures lead to wasted money and resources, and limited data usage. Many legacy systems also have compatibility and interoperability issues with the cloud. An experienced data management partner like Infoverity can create a functional data ecosystem.
Very few organizations migrate completely to the cloud. That means that core data management processes for cataloging data, improving quality, maintaining high availability, and protecting from disasters must work for both on-premise and cloud data.
Migrating to the cloud brings new governance and compliance challenges. Companies must protect consumer data and abide by international regulations. To avoid fines, data sprawl, security risks, and misallocated resources, organizations need to adopt data management strategies that align with regulations and create coherent governance policies.
A study by West Monroe Partners found that companies that prioritize data during an M&A transaction can achieve up to 50% more revenue growth than companies that do not.
Gartner has found that companies that implement effective data management strategies can reduce IT costs by up to 25% and increase operational efficiency by up to 30%
According to a study by McKinsey & Company, companies that prioritize data integration during an M&A transaction can achieve 30% more cost synergies than companies that neglect this aspect.
According to McKinsey, 56% of M&A deals fail to deliver the expected value due to issues with data management.
