Covering the essentials of business intelligence, explore the features & functions for an overview.
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Enterprises across the globe are looking to future-proof their businesses and drive competitive advantage within their sector by embracing digital transformation. Business leaders are looking to adopt next-generation, cloud-based digital tools as they are looking for faster implementation, cost-effectiveness, and ease of maintenance. Cloud-based solutions are also well-suited for business intelligence and advanced analytics.
Today, data is at the front and center of enabling businesses to gain insights into their various functions as well as forecast future trends. The right analytics processes can help with improving operational efficiency and effectiveness, reducing costs, and making informed decisions for driving growth.
To streamline their operations and connect people and processes, several enterprises are turning to Oracle Cloud ERP. Specifically, moving to Oracle Cloud ERP delivers the following benefits:
Apart from these benefits to the business, Oracle Cloud ERP also comes with an Oracle BI Cloud Service (BICS) that provides enterprise-class business intelligence capabilities to the users. This is coupled with a Data Sync ETL tool for data extraction. This can also be used for those running OTBI (Oracle Transactional Business Intelligence) analytics for their ad-hoc and operational reporting.
Advantages and Disadvantages of Data Sync
Some of the advantages of Data Sync as an ETL tool include:
However, this also has limitations such as:
Orbit — Integrated Extracting, Reporting, and Analytics in a single solution
Orbit Reporting and Analytics is a Complementary tool for reporting and analytics on Oracle cloud ERP with data extraction capabilities. An Oracle ERP Integrated product, it is a popular tool for reporting and analytics on Oracle Cloud ERP mainly because it can extract data from multiple sources without needing any additional third-party integrations.
This is made possible by Orbit’s Data Jump functionality that can extract data from multiple sources, transform them, and load them. It enables ETL (extract, transform, and load) and ELT (extract, load, and transform) requirements. It blends data from multiple sources into one single source and synthesizes data from multiple sources so that the users can build a database such as a data hub, data warehouse, or data lake for further processing, reporting, and analytics.
Further, some of the other features that make Orbit a popular tool for reporting and analytics include:
The ETL functionality is built into the reporting and analytics tool, which makes it a single, cost-effective solution that users can benefit from all their reporting and analytics needs.
To know more about the data extraction capabilities of Orbit Reporting and Analytics for Data Warehouse from Oracle Cloud ERP.
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