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Massive ecosystem with plentiful extenders.

Google Analytics is one of the most popular and widely-used data analytics tools to summarize data on high-level dashboards and function with a variety of funnel visualization techniques. At its core, it is a web analytics service that is used for tracking and reporting about website traffic. The freemium product provides an analysis of poorly performing pages using various data-driven techniques.

Furthermore, this tool provides you with data that you can transform into actionable insights for businesses of all sizes to garner a stronger result across their websites, applications, and offline channels. Specializing in one of the most important aspects of data analysis, this tool is essential for building a tight data analysis framework for your organization.

Why choose Google Analytics?

  1. Data collection and management. You get a single, comprehensive view of your customer that’s easily customizable according to your business needs. Sharing this across your organization is streamlined as well.
  2. Data activation. Used in marketing, data can be activated to leverage marketing campaigns and explore new content and channels.
  3. Data analysis. Reporting and analysis tools are available to help you segment and filter data according to your needs in order to have a better understanding of your customer’s lifecycle.

14. Apache Hadoop

Apache Hadoop dashboard example

If you are looking for an open source platform, Apache Hadoop is a good place to start for distributed storage and processing of large datasets. In addition, it offers services for data access, governance, security, and operations. It is a collection of utilities that facilitates a network of multiple computers and data sets on computer clusters built from commodity hardware to solve problems.

This solution is fundamentally resilient to support large computing clusters. Failure of individual nodes in the cluster is rarely an issue and if it does, the system automatically re-replicates the data and redirects the remaining ones in the cluster. It is a highly scalable platform that stores, handles, and analyzes data at a petabyte scale.