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Data Lifecycle Management (DLM) is a system for managing data throughout its lifecycle from the point of data initialization to the point of data deletion. Data is divided into phases based on various criteria, and as it completes various tasks or satisfies particular requirements, it advances through these stages.

Artificial intelligence has stemmed business intelligence or BI as one of the critical tools for business companies in this technology-driven market. Integrating business intelligence and machine learning in company systems has rooted in data visualization and business analysis.

Business models are rapidly evolving daily, and one best investments you could make for your company at the start of the year is cloud computing. Cloud computing is classified into three types as Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS).

With the introduction of new technologies such as big data, data science platforms, and artificial intelligence, businesses are becoming more productive and boost their return on investment. And in the past two years, boardrooms and newsrooms have given data science much attention.