Advanced Business Intelligence for Maconomy ERP
A global professional placement firm like Robert Half generates vast amounts of financial and operational data every day. But having data is only half the battle. To turn that data into a strategic asset, a company needs a way to make it clear, accessible, and actionable.
Robert Half was facing a challenge: their existing systems made it difficult to get a unified, accurate view of their business performance, leading to budgeting issues and limited insight into departmental operations.
By deploying a comprehensive Business Intelligence (BI) solution with SAP BusinessObjects Universes, we helped Robert Half gain control of their data, transforming it from a collection of numbers into a clear picture of their business.
About Robert Half
Robert Half is a global leader in professional staffing and consulting services. With over 345 locations worldwide, the company helps businesses find skilled professionals in finance, technology, and other fields. Their extensive network and long-standing reputation make them a key player in the human resources industry.
For Adanto Software, this was a significant partnership, as it gave us the opportunity to apply our expertise to a complex, global business challenge.
Key Results
95%
accuracy achieved in data reporting, providing a solid foundation for financial decisions.
$1 million+
in estimated annual IT cost savings from consolidating multiple systems.
25%+
improvement in the accuracy of budget and forecasting cycles.
Services Performed
- Data Analytics & Business Intelligence
- Software Development & Maintenance
Technologies Used
- Deltek Maconomy
- SAP BusinessObjects Web
- PL-SQL, SQL
- Oracle, SQL Server
- AWS EC2, AWS RDS
- Java
The Challenge
Robert Half’s IT department faced several hurdles in leveraging their data effectively. They lacked clear visibility into spending, departmental performance, and Service Level Agreement (SLA) compliance. This lack of insight resulted in inaccurate financial forecasts and budget overruns. To address these issues, Robert Half needed a robust data analytics and reporting platform to work with their new Deltek Maconomy ERP system.
Key goals
Reliable Data for Decisions: Provide accurate, consistent, and comprehensive data across the organization to support informed decision-making.
Streamlined Reporting: Implement a centralized platform that offers quick and intuitive access to data, reducing the time and effort needed to create reports.
Actionable Insights: Use advanced visualization and analytical tools to uncover hidden patterns and dependencies in the data for better strategic planning.
Improved Efficiency: Use accurate data and automated reporting to optimize workflows and reduce errors.
The Solution
Adanto implemented a comprehensive Business Intelligence solution that used SAP BusinessObjects as the core BI and reporting layer for Robert Half’s new Maconomy ERP. This solution was designed to transform raw financial and operational data into actionable insights. We integrated the Maconomy ERP with SAP using custom Extract, Transform, Load (ETL) processes to ensure a seamless and reliable flow of data.
Our solution delivered a range of capabilities that enabled Robert Half to get a clear, real-time view of their financial and operational data:
Customizable Reports and Dashboards
Data Integration (ERP & SAP with ETL)
Ad-Hoc Reporting
Enterprise Reporting
Advanced Analytics
Governance and Security
About Robert Half
Robert Half is a global leader in professional staffing and consulting services. With over 345 locations worldwide, the company helps businesses find skilled professionals in finance, technology, and other fields. Their extensive network and long-standing reputation make them a key player in the human resources industry.
For Adanto Software, this was a significant partnership, as it gave us the opportunity to apply our expertise to a complex, global business challenge.
The Challenge
Robert Half’s IT department faced several hurdles in leveraging their data effectively. They lacked clear visibility into spending, departmental performance, and Service Level Agreement (SLA) compliance. This lack of insight resulted in inaccurate financial forecasts and budget overruns. To address these issues, Robert Half needed a robust data analytics and reporting platform to work with their new Deltek Maconomy ERP system.
Key goals
Reliable Data for Decisions: Provide accurate, consistent, and comprehensive data across the organization to support informed decision-making.
Streamlined Reporting: Implement a centralized platform that offers quick and intuitive access to data, reducing the time and effort needed to create reports.
Actionable Insights: Use advanced visualization and analytical tools to uncover hidden patterns and dependencies in the data for better strategic planning.
Improved Efficiency: Use accurate data and automated reporting to optimize workflows and reduce errors.
The Solution
Adanto implemented a comprehensive Business Intelligence solution that used SAP BusinessObjects as the core BI and reporting layer for Robert Half’s new Maconomy ERP. This solution was designed to transform raw financial and operational data into actionable insights. We integrated the Maconomy ERP with SAP using custom Extract, Transform, Load (ETL) processes to ensure a seamless and reliable flow of data.
Our solution delivered a range of capabilities that enabled Robert Half to get a clear, real-time view of their financial and operational data:
Customizable Reports and Dashboards
Data Integration (ERP & SAP with ETL)
Ad-Hoc Reporting
Enterprise Reporting
Advanced Analytics
Governance and Security
Key Results
95%
accuracy achieved in data reporting, providing a solid foundation for financial decisions.
$1 million+
in estimated annual IT cost savings from consolidating multiple systems.
25%+
improvement in the accuracy of budget and forecasting cycles.
Services Performed
- Data Analytics & Business Intelligence
- Software Development & Maintenance
Technologies Used
- Deltek Maconomy
- SAP BusinessObjects Web
- PL-SQL, SQL
- Oracle, SQL Server
- AWS EC2, AWS RDS
- Java
