Data Sets

Data Sets

We believe that business users – from the analysts to departmental managers to the CEO – should have access to real-time data that gives them a 360° view of their operations to make fact-based decisions.

Orbit Analytics Integration

Real Time Drilldown to Your Subledger Data

Improve your reconciliation process and achieve a faster period close with complete drilldown from balances to subledger with hundreds of pre-built reports.

Data Security and Governance at Orbit Analytics

Simple and Secure Report Distribution

Do everything inside Excel. Fast, easy distribution of financial reports without switching between applications.

For Cloud Financials, EBS, and NetSuite

Build financial statements from live data in Oracle Cloud Financials, Oracle EBS Financial reporting, NetSuite, and more.

Datasets for data aggregation

Businesses have adapted specialized and purpose driven applications to stay competitive. Some of these applications were on-premise and few of them were SAAS based cloud applications, this  created a need for agile self-service data reporting with the ability to aggregate data across multiple applications.

Datasets are a data catalog feature, dataset is aggregation of data from disparate sources providing a consistent view across the organization.


Datasets for self-service data mashing

Orbit Datasets are easy to create end user data models that allow business users to mash data reports across disparate business applications and also blend with external csv and excel files to get a holistic view for informed decision-making.

Datasets for data consistency

Data consistency is the foundation to avoid confusion resulting in wrong reporting, i.e. dimensions, measures and facts of a subject area becomes a concern especially when data is aggregated from multiple sources. Discrepancy of data meaning between data sources creates inconsistent, inaccurate data.


Datasets for agile data

Orbit Dataset features allow creation of agile data by ingesting data from external applications using Web Services, SQL, Application connectors, Excel and CSV files. These agile end user data models are used for self-service analytics to produce visual dashboards.

Webinar On Demand

Why Even the Non-Techies Should Understand Data Modeling