Business intelligence (BI) is an indispensable analytics tool that enables companies to uncover patterns and trends within data, providing important insight that can facilitate better decision-making and increase performance.
Business Intelligence tools help businesses collect, analyze, and present data in an easily-understandable format. Furthermore, they enable forecasting based on past patterns.
Zoho Analytics is a self-service data analytics software designed to allow business users to produce breathtaking data visualizations. With an easy user interface for all types of users and full scalability capabilities, it has built-in evaluation functions designed to assist teams in monitoring vital performance indicators.
Zoho Analytics organizes its information by grouping data sets together in what are called Workspaces, as well as all reports and dashboards created from them, into one cohesive entity that contains structural relationships between them all.
Zoho Analytics supports various SQL queries and allows users to perform calculations on data to derive key business metrics for reporting and analysis. Furthermore, you can create summary views of your data in tabular form for easy reading and understanding as well as publish them via simple URL links on any web page or app – offering collaboration tools as well as fine-grained access control permissions that protect sensitive information.
Domo is a cloud-native business intelligence solution with many features designed to assist users with data management, visualization and report creation, data integration options as well as an user-friendly interface that makes use easy even for nontechnical users.
Users have access to data from multiple sources, including on-premise and online data warehouses, data lakes, cloud services, advertising platforms, CRMs and flat files. Connectors allow easy access while visual drag-and-drop ETL processes speed the development time for new BI apps.
Domo’s BI platform not only offers an integrated view of all business data, but it also allows for ad hoc analytics. Utilizing low-code tools – including Variables – users can perform what-if analyses, investigate key performance indicators, and conduct time series forecasting. Jupyter Workspaces enable developers to combine code with data in one solution.
Tableau is an intuitive data visualization tool designed to assist business stakeholders in making data-driven decisions. Designed with ease of use in mind and supporting multiple data sources, this product can also be embedded into other software products for seamless use as well as offering advanced analytics capabilities and an expansive user community.
Tableau can connect directly with external data sources, eliminating the need for manual data extracts and improving data analysis processes. Furthermore, its reduce number of reports needed within an organization which makes it cost-effective and simpler to manage.
The drag-and-drop interface enables users to rapidly explore and build data visuals quickly, which makes creating dashboards accessible by all employees easy. Its advanced analytics capabilities help users better understand their data for informed business decisions and is an ideal solution for organizations processing large volumes of information while also offering advanced features to allow analysts to collaborate.
Looker is a comprehensive data platform that delivers analytics, exploration and insights across every function in an organization. Utilizing its unique modeling language to empower employees of any discipline to leverage the work of top analysts is also key. Plus it operates 100% in-database to quickly produce results in real time; additionally it features standard reporting through pre-built report formatting templates as well as ad hoc reports to facilitate dashboard collaboration.
Looker’s In-database architecture allows it to bypass ETL layers and connect directly to raw data, providing fast performance on any size of dataset and enabling true self-service BI capabilities. Furthermore, its robust governance framework and ability to define consistent models across business functions allows you to make risk-averse decisions backed by trusted facts – or create tailored data experiences for specific teams.