Data preparation is an iterative and agile process for finding, combining, cleaning, transforming and sharing curated datasets for various data and analytics use cases including analytics/business intelligence (BI), data science/machine learning (ML) and self-service data integration. Data preparation tools promise faster time to delivery of integrated and curated data by allowing business users including analysts, citizen integrators, data engineers and citizen data scientists to integrate internal and external datasets for their use cases. Furthermore, they allow users to identify anomalies and patterns and improve and review the data quality of their findings in a repeatable fashion. Some tools embed ML algorithms that augment and, in some cases, completely automate certain repeatable and mundane data preparation tasks. Reduced time to delivery of data and insight is at the heart of this market.
Knowledge Management (KM) Software enables a wide variety of operations around documents and files to optimize access and flow of information within an organization. Knowledge Management Software is compatible with multiple file types like documents, presentations, audio-video files, etc. to enable all these operations. Enterprises leverage the software to create a centralized repository of information that traditionally existed in silos. The primary function of the software is to store, retrieve, and share information across the organization in a convenient, safe, and reliable manner. Some Knowledge Management Software also provides some extended functionalities like – File Edit history, access management, and content editing capabilities.