Analytics and business intelligence (ABI) platforms enable less technical users, including businesspeople, to model, analyze, explore, share and manage data, and collaborate and share findings, enabled by IT and augmented by artificial intelligence (AI). ABI platforms may optionally include the ability to create, modify or enrich a semantic model including business rules.
The market for data integration tools includes vendors that offer software products to enable the construction and implementation of data access and data delivery infrastructure for a variety of data integration scenarios. For vendors, the demand for traditional data integration capabilities alongside the demand for innovative solutions requires robust, consistent delivery of highly developed solutions. Similarly, data integration tools interoperate and integrate with master data tools, data governance tools and data quality tools. Examples of this type of interoperability include: • Support for governance and management of data assets • Data acquisition for analytics and business intelligence (BI) and data • Sourcing and delivery of master data in support of master data management (MDM) • Data consistency between operational applications • Interenterprise data sharing.
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.