Extracting Data for Data Warehouses from Oracle Cloud ERP

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: 

• Lower Total Cost of Ownership (TCO) as it does not have upfront license costs and is low maintenance, especially compared to Oracle EBS
• Being a SaaS solution, it is easier to scale in terms of users
• With Oracle Cloud ERP, new functionalities can be added faster and at a lower cost
• It provides access anywhere, anytime, and works on any mobile device without compromising security
• It allows for continuous and automatic software updates 
• It is easier in terms of integration with other SaaS tools and business systems 
• Better UX/UI
• Access to Oracle cloud marketplace
• Oracle offers proprietary ERP Cloud Accelerator for faster migration

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:

• Easy to install and configure
• Ease of running data mappings
• Can run on any Java VM platform as it is written in Java 
• It can connect to any database with a JDBC driver
• Comes with built-in connection support for commonly used databases

However, this also has limitations such as:

• Does not have advanced data transformation capabilities
• Custom SQL query is needed (SQL override) when data is in flat files or spread across multiple data sources
• Data writing is possible only on few databases like SQL Server and Oracle 

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:

• Its ability to pull real-time data into Excel, a popular tool that lets users play with numbers best suited to their requirements
• Self-service capabilities that let users create their own reports instead of waiting for IT’s intervention in the process
• Security and governance where it aligns with Oracle Cloud ERP policies for access and authorization
• Creation of datasets and maintaining trusted, reliable and consistent data for users who need agile data by mashing corporate data with external datasets that might be in flat files like excel, csv, json, xml or directly accessible as a web service url
• Creation of data models while enforcing data security in the process, thereby reducing maintenance efforts, increasing data lineage, and ensuring data consistency by the abstraction of complex formulas across domains. 

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, request for a demo here: https://go.orbitanalytics.com/request-demo