Data analytics tools can help businesses discover patterns, correlations and opportunities. There are many different tools available. In our comprehensive data analytics tool comparison we analyze the main aspects to consider when choosing the best solution for your company, such as the ability to scale, user-friendliness, as well as pricing.
A data analytics tool must be able to integrate and analyze data from various sources and then replicate the data to one central repository, and create an all-in-one source for analytics as well as provide security and governance. In addition, it should provide data visualization and self-service capabilities. We also assess the usability of a tool for data analytics and preference is given to those that have intuitive interfaces that make complex analysis easier for users with different technical abilities.
Qlik http://www.softwarehall.com/what-is-docusign-transaction-rooms/ is one of our top picks. It offers an innovative associative technology that allows you to analyze your data without restriction, uncovering connections and patterns that are hidden and gain new insights. It is also simple to use, scalable, and suitable for small teams as well as enterprises.
Microsoft Power BI can be used by people who aren’t technical and is scalable with your company. It supports business intelligence, data visualization, and self-service predictive analytics. It is also able to seamlessly integrate with other Microsoft products.
Clicky is a long-running web analytics platform that offers real-time monitoring of websites for tracking affiliate traffic and conversions. It provides detailed reports on website performance, allowing you to identify areas for improvement and to optimize marketing strategies. Airtable is an easy-to-use cloud collaboration tool which offers visualization, analysis, and powerful backend databases.