From raw data to useful insight
Delveman supports the full analytical workflow: collecting information, validating and standardising it, applying suitable analytical methods and presenting findings clearly.
The service can support one-off decisions or recurring processes such as transaction monitoring, valuation data updates, expected credit loss analysis, profitability benchmarking and management dashboards.
What we can deliver
- Data-collection workflow and platform design
- Data cleaning, classification, validation and normalisation
- Management dashboards and data visualisation
- Trend, variance, segmentation, cohort and margin analysis
- Recurring market, M&A and fundraising monitoring
- Peer benchmarking, concentration and risk indicators
- Data dictionaries, source logs and quality controls
- Automated processing for valuation and research systems
Typical use cases
- Large customer, receivables or transaction datasets
- Valuation-system data preparation and recurring updates
- Quarterly market and transaction monitoring
- Credit-risk and expected credit loss analytics
- Operating KPI, profitability and margin analysis
- Industry database maintenance
- Management reporting and decision dashboards
Research and analytical methods
- Descriptive and diagnostic analytics
- Segmentation, cohort and vintage analysis
- Correlation and regression methods
- Default, recovery and migration studies
- Benchmarking, percentile and margin analysis
- Automated data validation and exception flags
- Dashboarding and recurring reporting workflows
Clear scope of service
Delveman interprets the data and explains the evidence. It does not provide a formal valuation opinion, audit assurance or regulated investment recommendation. If the intended use requires a formal valuation opinion, please refer to Valtech Valuation.
Looking for a formal valuation or valuation opinion? Visit Valtech Valuation.