Data analytics tools can help businesses discover patterns, correlations, and opportunities. Not all tools are equal. In our extensive data analysis tools comparison, we review key factors to consider in choosing the right tool for your business, such as flexibility and ease of use.

A data analytics software should be able to integrate and analyze a http://www.softwarehall.com/mac-file-sharing-not-working-how-to-fix-it/ variety of sources of data and replicate data into a central repository to create an unifying source of truth for analytics, and provide security and governance measures. Furthermore, it should offer self-service and data visualization. We also look at a data analytics tool’s usability prioritizing those with easy interfaces that make complex analysis easier for users of varying technical abilities.

One of our top picks, Qlik offers an innovative associative engine that enables you to explore data freely and uncover hidden connections and patterns, and find new insights. It’s also easy to use and expandable, making it ideal for smaller teams as well as large corporations.

Microsoft Power BI can be used by non-technical users and is scalable with your company. It can be used for business intelligence, data visualization and self-service predictive analytics. It also seamlessly integrates with other Microsoft products.

Clicky is a dependable web analytics platform that provides real-time monitoring of website performance to track affiliate traffic and conversions. It provides detailed reports on website performance to pinpoint areas for improvement and help optimize marketing strategies. Airtable is a simple cloud collaboration tool that gives visualization, data analysis, and powerful backend databases.