Four Stages Of Data Modernization
Data is one of the most significant weapons in the Armory of any business. While this is a widely accepted aspect of doing business today, the rate of data-driven innovation varies dramatically from one company to the next. Organizations that have extensive on-premises data systems or rely on outdated technology, for example, may find that their innovation rate is decreasing. Cloud-native enterprises, on the other hand, can quickly unlock and take advantage of new use cases thanks to the easier application of current analytics and AI. Organizations with large on-premises data systems are likely to be working on initiatives to modernize their data and use business intelligence services to solve business problems, but the transition from on-premises to AI can be difficult. This blog is designed to assist firms in identifying the stages of data modernization and determining the best course of action. Migration Data migration is the first step in most data transformation efforts. While th...