DataHarbor is a mid-market data management consultancy that helps external clients improve data governance, metadata management, data quality, and regulatory compliance. The firm has 220 employees, operates primarily in North America and Europe, and generated $48M in revenue last year with an EBITDA margin of 14%. Historically, DataHarbor has sold custom advisory projects to financial services and healthcare clients, but growth has slowed as larger consultancies bundle data management into broader digital transformation programs. The CEO is considering whether to reposition the firm around a more standardized advisory offering for external stakeholders—CIOs, data leaders, compliance teams, and business unit owners—focused on “data management best practices” with faster delivery and clearer ROI.
You are a strategy manager at DataHarbor. Leadership wants a recommendation on how the firm should consult external stakeholders on data management best practices over the next 12 months. Specifically, should DataHarbor continue with highly customized consulting engagements, or launch a more productized go-to-market model built around diagnostic assessments, benchmark reports, and implementation playbooks? The decision matters now because pipeline conversion has declined, sales cycles are lengthening, and two competitors have recently launched packaged data governance offerings.
| Metric | Value |
|---|---|
| FY2024 revenue | $48M |
| YoY revenue growth | 6% |
| Gross margin on custom projects | 32% |
| Gross margin on pilot packaged offerings | 51% |
| Average sales cycle: custom projects | 5.5 months |
| Average sales cycle: packaged diagnostic pilots | 2.0 months |
| Average contract value: custom projects | $420K |
| Average contract value: packaged diagnostic + follow-on | $180K initial, $350K total potential |