Orbit’s comprehensive Reporting and Analytics platform helps businesses be resilient and ready for the future. The data modeling and advanced visualization capabilities reduce data silos and enable decision-making using all relevant data.

What Sets Orbit Business Intelligence Apart?

Orbit has been designed to be omniscient with reporting and analytics requirements in operational, financial, and strategic contexts. Orbit comes with a complete set of self-service features allowing IT to model and govern a seamless single source of truth while empowering users across the enterprise to be self-reliant.
Key Performance Indicators (KPIs) need to be monitored and reported continuously in real-time. You can add powerful KPIs in Orbit takes just a few clicks and it delivers with the built-in capability to show micro charts and data trends.
Orbit Insights has sophisticated features such as density reduction and advanced visualizations. You can save all Insights as re-useable widgets or share them with the team to increase collaboration on data analysis.
Different users have different ways to visualize data. Orbit allows users to personalize, functionally group, and organize visualizations for an intuitive and fully interactive user experience. Orbit dashboards can be used across business functions to monitor operational metrics, co-relate information, spot outliers, and predict and make informed business decisions.
Orbit Scheduler plays a key role in process automation, which includes planning, organizing, scheduling, and monitoring daily jobs and reports. You can configure Multiple Delivery Channels to automate report outputs and deliver via Email, FTP, or REST API to folders including cloud storage applications. The document bursting feature allows users to run a single report while only the relevant information is delivered to users based on business rules.
Orbit Collaboration comes with functionality such as chatting, sharing and annotating snapshots, and voting. Embedding collaborative decision-making into the business process has improved accountability and productivity. Orbit Collaboration comes with functionality such as chatting, sharing and annotating snapshots, and voting. Embedding collaborative decision-making into the business process has improved accountability and productivity.
Orbit User Management for authentication and authorization comes with built-in integrations for leading ERP applications including Oracle E-Business Suite (EBS), Oracle ERP Cloud (Fusion), Peoplesoft, NetSuite, and Salesforce. The auto-sync on login feature, imports and synchronizes the governance rules, data security profiles, and business application roles allowing Orbit to inherit and enforce the same governance rules as in the source business applications.
With the world moving toward remote or hybrid work, the workforce relies on mobile devices to access applications, view reports, and make decisions on-the-go. The Orbit Analytics app lets you securely access your operational dashboards, KPIs, and reports from a mobile device. Certified by both iOS and Android, it gives you the security, speed, and flexibility you need when viewing data remotely.
Orbit can be embedded within other proprietary software to deliver real-time business insight and improve decision-making. Orbit dashboards can be consumed as iframe links in external websites and intranet portals.

Next Level Additional Features

SQL Scripting is the most widely used language to retrieve and manipulate data in a database. It has evolved into the most sophisticated and powerful language for data analysis and feeding the data to a visual interface. SQL queries are mostly used to produce tabular outputs rendered to data grid components or analytical SQL query outputs, that are rendered by visually compelling charting widgets.

Python has gained popularity for its functional programming approach and data science libraries. It is a powerful programming language for data manipulation and statistical outputs such as predictive and prescriptive analytics. Orbit automatically pulls the results from SQL queries into R programs. The SQL queries are generated using business schematic models, which are simple to use with a drag-and-drop interface. Orbit’s integration with Python allows it to leverage Python’s charting libraries to produce sophisticated visual outputs.

R is a popular programming language for statistical data analysis. Orbit R editor automatically pulls the results from SQL queries into R programs. Administrators can anytime upgrade R libraries and leverage their latest functionalities. Orbit’s integration with R allows it to leverage R’s charting libraries to produce sophisticated visual outputs.

Orbit’s custom widget API framework supports JavaScript, Python, and R programs. Developers can build visual widgets and include them in the available charts that others can use for data analysis and dashboards. It also allows the integration of third-party JavaScript libraries like D3.js, C3.js, Potly.js, and more.

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