Board Management & Investor Governance3 min readUpdated September 2026

Five Data Governance Gaps a BI Consultancy's Board Misses

A BI or data engineering consultancy's board should keep five data governance records: what client data the firm holds, subprocessor access, model and pipeline IP ownership, retention and deletion commitments, and engagement sensitivity. Clients first ask what data the firm held, where, and for how long.

Here are five gaps that show up repeatedly in this industry's board and leadership oversight.

Gap one: no board-level register of what client data the firm actually holds

Individual project teams usually know what data they're working with, but firm leadership often can't answer, quickly and accurately, what client data currently sits in the firm's own systems across all active and recently closed engagements. Build a standing data inventory reviewed by leadership periodically, covering which clients' data is held, where, and under what retention terms, rather than leaving this knowledge distributed across project teams with no aggregate view.

This inventory becomes essential the moment any client asks for confirmation their data has been deleted after an engagement ends, a request that's becoming more common as clients' own data governance programs mature and start extending scrutiny to their vendors.

Gap two: subprocessor and subcontractor data access isn't tracked centrally

If the firm uses subcontractors or cloud subprocessors that touch client data, each client's contract may have specific requirements about disclosure and approval of subprocessors, and a firm that can't produce a current subprocessor list on request is exposed regardless of whether anything has actually gone wrong. Maintain this list as a standing governance record, updated whenever a new subprocessor is added, and cross-check it against each active client contract's specific subprocessor terms.

Gap three: model and pipeline IP ownership isn't consistently documented

Whether a model, dashboard template, or pipeline built during a client engagement belongs to the client, the firm, or both under a license depends on the specific contract terms, and firms that reuse components across engagements need a clear internal record of which pieces originated under which contract's IP terms. A firm that blurs this line risks a client dispute over reused work product, or worse, an inadvertent breach of a different client's confidentiality by reusing something built under a restrictive contract.

Gap four: data retention and deletion commitments aren't tracked to completion

A contract's data deletion commitment at engagement end is easy to make and easy to forget once the project team has moved on to other work. Track deletion commitments as a checklist item closed out formally, with confirmation, not assumed complete once the engagement itself wraps up. Diligent's structured resolution tracking suits a firm that wants this formally documented and signed off; BoardPro handles the same tracking adequately for a smaller firm managing it as a simple recurring checklist.

Gap five: no board visibility into which engagements carry the highest data sensitivity

Not every engagement carries the same risk, a marketing analytics dashboard is a different risk profile than a pipeline touching health or financial data, and the board should have periodic visibility into which active engagements sit at the higher end of that spectrum. This doesn't require disclosing client-specific technical detail, just an aggregate view of how many active engagements carry elevated data sensitivity and whether staffing and access controls scale appropriately with that mix.

How Diligent and BoardPro actually fit into a data governance program

Neither platform is a data governance tool itself, and firms sometimes make the mistake of assuming that adopting a more sophisticated board platform somehow closes these gaps automatically. What either platform actually does is hold the firm's own governance decisions, the retention policy, the subprocessor approval process, the IP ownership framework, as a clean, dated record once the underlying data governance work has been done elsewhere. Diligent's committee structure suits a firm that has stood up a dedicated data governance or security committee; BoardPro suits a smaller firm where the whole leadership team reviews these items together.

What a client's own vendor security review typically asks for

Larger clients increasingly run a formal vendor security review before or during an engagement, asking specifically for a data inventory, subprocessor list, and deletion policy in writing. A firm that already maintains these as standing governance records answers this review in a day; a firm assembling them for the first time under a client's own deadline pressure often struggles to produce a credible answer in time, which can delay or even jeopardize a significant engagement over what is ultimately a documentation gap, not a genuine security failure.

Keep these ready for a client's vendor security review:

  • A data inventory showing what client data the firm holds, where it sits, and how long it is kept.
  • A written subprocessor and subcontractor list covering every cloud or contractor party that touches client data.
  • A deletion policy in writing, tied to the data deletion commitments in each contract.
  • Standing governance records for all three, so the review takes a day and not a scramble under the client's deadline.
Executive Capability Standard

What Good Looks Like

A well-governed analytics consultancy maintains a current client data inventory, a tracked subprocessor list, documented IP ownership per engagement, and closed-out deletion commitments, reviewed by leadership on a regular cadence.

Building The Capability (5-Stage Skill Ladder)

1. Learn:Build a first-pass inventory of what client data the firm currently holds across all active and recently closed engagements, and where it lives.
2. Do Manually:Create simple checklists for subprocessor disclosure, IP ownership documentation, and deletion commitment tracking, reviewed periodically before adopting dedicated software.
3. Delegate:Assign a data governance owner, distinct from individual project leads, to maintain the inventory and checklists across all engagements.
4. Automate:Move governance tracking into BoardPro or Diligent, choosing Diligent once concurrent engagement volume makes informal tracking unreliable.
5. Buy:Engage outside counsel or a data privacy specialist to audit current data handling practices against the firm's actual client contract commitments.

How to Get Started

Frequently Asked Questions

How often should the client data inventory be reviewed?

Quarterly is reasonable for most firms, with an update triggered any time a new engagement starts handling a new category of sensitive data. Waiting for an annual review misses changes that happen throughout the year as new engagements begin and old ones close.

Who should own subprocessor disclosure tracking?

Typically whoever owns client contracts, often a firm principal or a dedicated operations lead, cross-checking the current subprocessor list against each client's specific contract terms rather than assuming a single standard list covers every engagement equally.

Does a small analytics consultancy need Diligent's structure for this?

Not necessarily. A small firm can track all five gaps above through disciplined checklists and periodic leadership review without dedicated board software. Diligent's heavier structure earns its cost mainly once the firm has enough concurrent engagements that informal tracking starts to have real gaps.

About the numbers

This guide doesn't quote a sourced benchmark. Figures in it are estimates or general guidance, so check them against your own numbers.

Related Guides