Drive Success with Optimized Data Management

In reporting and analytics, data models promote data stewardship and give the most lineage in empowering business users and enforcing data security, in the process. Additionally, data models help reduce maintenance efforts while increasing data lineage, and ensure data consistency by the abstraction of complex formulas across domains. All this together empowers the business user to build the reports they need.

Orbit’s sophisticated metadata layering design allows organizations to enforce governance centrally. From an IT point of view, it is a lot easier to maintain a common Semantic Layer than thousands of individual reports.

In modern businesses, data is often spread across various databases, both inside and outside the organization. Being able to run SQL queries across different types of data sources (relational and non-relational) and combine the results is crucial. For example, when we need information from both an Oracle database and an MSSQL server, combining them into one result set is called data federation.

Data virtualization is a Data Management technique of hiding the data complexity under the hood. Business users do not need to know all the technical details about data sources, such as where and how data is stored. What they need is a single trusted view presented for consumption. For example, complex calculations like commissions can be abstracted to avoid mistakes.

You need to collect data (extract the data, transform the data, and load the data) from multiple sources so that you can make well-informed business decisions.

DataJump is Orbit’s solution for ETL (extract, transform, and load) and ELT (extract, load, and transform) requirements. DataJump gives you the ability to blend data from multiple sources into one single source. DataJump allows you to synthesize data from multiple sources so that you can build a database such as a data hub, data warehouse, or data lake.