The right tools for data analytics will allow companies to recognize and understand patterns and correlations, as well as opportunities. There are many different tools available. In our extensive comparison of the best data analytics tools we review the key factors to take into consideration when selecting the best solution for your company, such as scaling, user-friendliness and pricing.
A data analytics tool should be able to integrate and analyze various sources of data as well as replicate data in an integrated repository to create a single source of truth for analytics, and provide security and governance measures. It should also provide self-service and data visualization. We also evaluate the usability of a data analysis tool and give preference to those with intuitive interfaces which simplify complex analyses for users with varying technical abilities.
Qlik is one of our top picks. It has an innovative associative engine that allows you to examine your data freely, uncover connections and patterns hidden from view and gain new insights. It is also easy to use, adaptable and ideal for small teams and enterprises.
Microsoft Power BI is another option that is easy to use for non-technical users and can scale with your organization. It provides business intelligence, data visualization and self-service predictive analytics. It seamlessly integrates with Microsoft products.
Clicky is an established web analytics platform that This Site offers real-time monitoring of websites to track affiliate traffic and conversions. It provides detailed website performance reports to help identify areas of improvement and for optimizing marketing strategies. Airtable is a user-friendly cloud collaboration tool that offers visualization, data analysis and powerful backend database.