The Best 8 Tools For Data Analysis

Once you have the data ready, you can try to analyze it using different tools. Start by considering your organization’s business needs and who will be using your analytics tool. Will it be used by sophisticated data analysts and data scientists, non-technical users who need an intuitive interface, or should it cater to both types of users. Some platforms provide an interactive experience for iterating code development using SQL, while others focus more on point-and-click analysis for less technical users.

Tools for data analysis

SAP BusinessObjects

The tools are aimed at less technical business users, but are also capable of performing complex analyses. BusinessObjects integrates with Microsoft Office products, allowing business analysts to quickly move back and forth between applications such as Excel and BusinessObjects reports.

Sisense

Sisense is a data analytics platform that aims to help technical developers and business analysts process and visualize all their business data. A unique aspect of the Sisense platform is its proprietary In-Chip technology that optimizes computation to use CPU cache rather than slower RAM.

TIBCO spotfire

TIBCO spotfire is a data analytics platform that provides natural language search and artificial intelligence based data insights. It is a comprehensive visualization tool that can publish reports to mobile and desktop applications.

Thought point

Thoughtspot is an analytics platform that allows users to explore data from different types of sources through reports and natural language search. Its artificial intelligence system, SpotIQ, automatically looks for statistics that help users uncover patterns they didn’t know to look for.

Qlik

Qlik provides a self-service data analytics and business intelligence platform that supports both cloud and on-premise deployments. The tool boasts strong support for data exploration and discovery by both technical and non-technical users. Qlik supports many chart types that users can customize using built-in SQL and drag-and-drop modules.

SAS business intelligence

SAS Business Intelligence provides a suite of applications for self-service analysis. It has many built-in collaboration features, such as the ability to send messages to mobile apps.

Postcard

Looker integrates with existing tools and introduces new, highly focused data that can reveal previously unseen data relationships to help teams make more informed decisions. 

SQL programming language

SQL is a standard language created for communicating with databases and is particularly useful when working with structured data.  SQL is used to search, add, update, and delete data, among other things, it facilitates the organization of structured data.

Conclusion

Data analytics tools provide a comprehensive platform for increasing the overall performance of businesses. These tools extract raw data and process it into information that can handle the company’s queries. These tools can generate performance reports or surveys in the form of graphs, pie charts, and tables. Data Analytics provides better insight and predicts future company performance.