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There are very large providers we refer to as ‘mega-vendors’, like Microsoft, Tableau, Qlik, SAP, and IBM. With end-user self-service a prominent focus for analytics vendors, providing organizations with the ability to discover and prepare data for analysis are important considerations. Data preparation is also a major tenant of the modern BI platform. This capability can come in a variety of forms, but data source connectivity is a key attribute.
#Bi tools comparison matrix full#
Disruptive newcomers are bringing new technologies to the table so that organizations can take full advantage of data.Ĭhief amongst these new use cases is data discovery, a technology that provides business users the ability to locate data that is relevant to a specific task. Traditional business intelligence providers continue to offer dashboard and reporting capabilities that have remained staples to the market since the widespread adoption of data analytics began more than a decade ago. The marketplace for the best data analytics software is mature and crowded with excellent products for a variety of use cases, verticals, deployment methods, and budgets. All in an attempt to help you select the right product. A 20-vendor compilation of the best data analytics software tools for 2019.