As there are many cloud providers and solutions on the market today, in the era of Data Science, there is more than just hosting and basic solutions or costs to consider to serve the enterprise with analytics. In order to maximize data-driven insights, one has to consider the day-to-day skillset of the analytical and business intelligence (BI) or analysts within the organization and the industry it serves.
Flexibility with Hybrid Cloud Offerings: When considering a migration to the cloud, some things are legacy apps that need to remain running as is while other apps and IT rollouts will begin with a cloud strategy. Organizations may also consider a phased approach when migrating to the cloud over a period of time. Any solution should allow for a phased approach or a step approach of combing legacy data centers with cloud offerings. This allows for innovation while also minding the store to ensure things are moving towards the future while maintaining the current integrity of the business.
Compliance. As many businesses consider moving to cloud-based solutions, there are many and various regulatory issues that are both global and industry-specific. The solution chosen by end-users needs to be at the forefront by committing to these GDPR regulations.
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