People Analytics with Tableau or PowerBI
People Analytics has evolved from a nice-to have to a must-have for organizations to maintain a competitive advantage in their respective industries and in the war for talent. A wholistic people analytics strategy, when properly deployed, can have a major impact on the success of any organization.
Financial Statements made easy in Oracle Fusion Cloud
People Analytics has evolved from a nice-to have to a must-have for organizations to maintain a competitive advantage in their respective industries and in the war for talent. A wholistic people analytics strategy, when properly deployed, can have a major impact on the success of any organization.
OTBI-BIP: Best Practices and Key Considerations
There are several design and development principles behind OTBI/BI Publisher and key items, the customer should keep in mind while using it as solution.
Mitigating HR Risk
Learn about three key steps in this whitepaper to managing talent risk and how people data and machine learning can help.
SplashBI for Oracle HCM Cloud Reporting
Today’s world is full of deals where you ‘buy one and get one free.’ Many organizations around the globe sell …
Scottish Legal Aid Board: Reporting Transformation
SLAB had years of investment in Oracle Discoverer reporting against Oracle database. With the demise of Discoverer…
Bossard Group’s Smooth Transition from Oracle Discoverer to SplashBI
Effortless Migration: Bossard Group seamlessly migrated 300+ reports from Oracle Discoverer to SplashBI
University of Oxford Case Study: Modern, Flexible and Faster
SplashBI gave the University of Oxford a modern, future-proof reporting platform that migrated all ~200 custom reports, eliminated FSG dependency, and empowered finance staff across 39 colleges to create and distribute
University of Oxford Case Study
Following Oracle announcing the de-support of Discoverer, the University of Oxford was obliged to find a new reporting solution.
Warner Music’s Month-End Reporting with SplashBI
Data-driven enterprises need to have data efficiently moved from one location to another and turned into actionable information as quickly as possible. Unfortunately, there are many obstacles to clean data flow, such as bottlenecks (which result in latency), data corruption, or multiple data sources producing conflicting or redundant information.
