The right tools for data analysis can make it easier for businesses to understand and identify patterns or correlations and also opportunities. But not all tools are created to be equal. In our comprehensive data analysis tools comparison, we look at crucial aspects to take into consideration when choosing the right tool for your company, such as flexibility and ease of use.
A data analytics tool should be able to integrate and analyze a variety of data sources and replicate data in an centralized repository to create an unifying source transaction room docusign of truth for analytics, and offer security and governance measures. It should also allow self-service and data visualization capabilities. We also look at the usability of a data analytics tool by focusing on those that have easy-to-use interfaces that simplify complex analysis for users of varying technical abilities.
One of our top picks, Qlik offers an innovative associative engine that enables you to freely explore data uncover connections that are hidden and patterns, and discover new insights. It’s also simple to use and is scalable which makes it ideal for smaller teams as well as large corporations.
Microsoft Power BI can be used by non-technical users and scales with your business. It is compatible with business intelligence, data visualization, and self-service predictive analytics. It is also able to seamlessly integrate with other Microsoft products.
Clicky is a longstanding web analytics platform with real-time monitoring of websites for tracking affiliate traffic and conversions. It provides detailed reports on website performance, allowing you to identify areas of improvement and improve marketing strategies. Airtable is a simple cloud collaboration tool that provides data analysis, visualization and powerful backend database.
