
Our Packages
No Matter What Stage You’re In, We’ve Got You Covered.
Let our team help you lay the foundation for scalable analytics. From tool selection to data pipelines to architecture + governance, we provide custom-tailored solutions to ensure your data is properly stored + maintained for maximum efficiency + ready for AI adoption.
Looking for a bit more hands on service or an interim Chief Data Officer? Please contact us at contact@willandford.com.
Packages
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Startups (Seed - Series B+)
Primary Goals:
- Establish foundational data infrastructure + data governance systems
- Build scalable automations that are designed for high-speed growth
- Provide fractional advisory support to help translate data into strategies
Services:
Data Foundation Setup: Lightweight data warehouse + connector setup for faster AI/ML program development
Business Intelligence + Data Science: Dashboard + custom model report setup to monitor KPIs, financials + projections
Workflow Automations: Low-code/no-code automations to reduce time spent on administrative tasks
Training + Enablement: 1:1 data coaching for operational leaders so they can stay abreast to technology changes
Fractional Analytics Advisory: Provide part-time Chief Data Officer to speak to investors + employees about data policies + insights.
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Enterprise
Primary Goals:
- Decrease reliance on legacy systems or manual processes
- Standardize analytics across business units + provide real-time insights
- Automate workflows to enhance internal operations + client experience
Services:
Systems Audit: Data mapping + audit of legacy tools, infrastructure + workflows provide a clear picture of operational inefficiencies
Cost-benefit Analysis: Determine accurate costs of upgrading or replacing legacy systems
Workflow Automations: Legacy system integrations via custom scripts or third-party platforms to reduce manual entry
Centralized Data Repository: Clean up + migrate data into a central location for optimized, real-time business intelligence
Team Enablement: Educate, train + support staff during implementation + beyond
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Private Equity Firms
Primary Goals:
- Establish scalable, repeatable analytics infrastructure via custom models
- Flag data gaps + automation opportunities to expedite due diligence processes
- Prepare firms for AI adoption + implementation
Services:
Custom Models: Revise current models or develop new models to enhance portfolio performance, data transparency + accuracy.
Due Diligence Audit: Review current due diligence process to identify gaps or areas of improvement to expedite decisions.
Workflow Automations: Develop + implement workflows automations to enhance operational performance + productivity
Advisory: Monthly retainer for data + automation advisement calls, strategic development + market insights.