Protiviti ProView™ Process Analytics Power BI Tool - 6 Week Implementation

Leveraging Microsoft Power BI, Protiviti ProView™ converts raw data to actionable insight and quantifiable improvement opportunities.

Our tool provides clients with visibility to improve cash and working capital management, process effectiveness, and control performance across Procure to Pay activities.

1. Data Acquisition: Aggregate and normalize data from any source system(s) to drive reporting consistency and accuracy

2. Transaction Analysis: Standard and custom reporting capabilities through Power BI to enable actionable insight across Procure to Pay and Forensics/Fraud • Insight into process effectiveness and control performance and measure potential improvements • 100% transaction visibility • Out of the box and ad-hoc reporting (web-based access) • Pre-built filters and reporting dimensions with powerful visualization (Power BI) • Ability to refresh data for ongoing monitoring

3. Benchmarking: Cost and working capital benchmarking along with benchmarking process performance, cost, cycle time, and efficiency • Objective comparison of process performance to help identify opportunities for improvement • Measure performance against peers and evaluate opportunities to improve cost effectiveness, quality, productivity, efficiency, and cycle time • Identify value drivers that influence performance and establish performance targets

Protiviti ProView™ Benefits:

1. Standardized data model with complete visibility of transaction population
2. Easy to use out of the box and ad-hoc reporting
3. Web-based access
4. Industry leading visualization platform (Microsoft Power BI)
5. Variety of interfaces to popular Microsoft applications
6. Pre-built filters and reporting dimensions
7. Ability to refresh data for ongoing monitoring and reporting

High-Level Process Overview:

1. Load and validate data
2. Run analysis (P2P Transaction Analysis) and present results • Spend Analysis • Invoice and Payment Analysis – trending, profiling, stratification, etc • PO Analysis – PO vs. Non-PO, After the fact PO • Vendor Master File - data integrity and completeness analysis • Vendor set up after invoice • Payment Terms / Days Payable Analysis • Working Capital optimization • Duplicate payment analysis
3. Conduct interviews to validate analysis *
4. Develop and confirm recommendations *
5. Present improvement roadmap *

*Subject to additional cost

Timing and pricing can vary depending on number of systems and volume of data