Gain the agile entry point you need to analyze QAD data with the Strategic ERP analytics connector for Phocas analytics. Tap into your ERP data for operational reporting like never before.
Manufacturers have unique ERP needs, and that extends to the type of data analytics you need to power operations and delve into financial performance. To help, Strategic has partnered with Phocas to offer analytics solutions specifically engineered to enhance QAD by:
Phocas Data Analytics for QAD integrates seamlessly with QAD using Strategic’s Phocas-QAD Adaptor. It provides fingertip access to the ERP analytics needed to drive your business. With powerful data visualizations, you can access operational performance data in entirely new ways. You can customize dashboards to empower quick course corrections, make faster, more informed decisions, and improve your operational effectiveness.
Phocas Financial Statements is a separate financial statements module to complement the core analytics solution. It provides cloud-based, user-friendly, customized financial statements and reports to help teams align around a single source of truth. Stakeholders can arrange and configure available financial data to build reports that meet their precise business requirements, freeing your finance team to focus on higher-value work. Drill-down capabilities allow you to uncover transactional details to better understand and explain your financial performance. You maintain complete control over who accesses your financial information via roles and permissions.
For over 20 years, Phocas has simplified data management for manufacturers seeking to innovate how they interact with their own business information. Strategic is partnering with Phocas to offer software that easily integrates with QAD via the Strategic Phocas-QAD adaptor. The solutions are simple and elegant to serve the analytics needs throughout the manufacturing organization, making it easier for people to be decisive and operate with confidence.
Strategic’s extensive experience interfacing with QAD data allowed us to dramatically accelerate our time-to-value with Phocas.”
Walter L.