Organizations worldwide are set on a journey of digital transformation. They are digitizing the past antiquated processes and incorporating smart, automated ones. Enterprises are investing in data analytics and business intelligence tools to completely realize this goal. Intelligent data management is one such innovative tool that the world is wielding these days. It involves managing unstructured data throughout its lifecycle with analytics and intelligence.
Intelligent data management is an effective solution that scales out efficiently to handle any load in data and remains resilient. This solution is fault tolerant to errors, making it more useful to analyze extensive datasets and make the right business decisions. Analysis, planning, and deep analytics are a few typical use cases where intelligent data management is used.
Several factors fuel the growth that intelligent data management solutions are seeing lately. The data management market is predicted to grow from $16.7 billion in 2022 to $34.5 billion by 2027. With almost every business viewing its data as a critical asset, intelligent data management is required to gain a competitive edge in the market.
In a data-driven world like the present, success is limited only to companies that can derive actionable insights from the immense amount of data to innovate, adapt to changes, and strategize better.