Data readiness audit for SPM implementations

The moment this problem becomes visible is three weeks before go-live on a new SPM tool, when the implementation consultant runs the first data import and half the records fail validation. The complaint is precise: 'It can be challenging to implement if the existing data integrity and infrastructure is not already cleansed and ready for system use.' By that point, the software contract is signed, the go-live date is set, and the cost of delay is real.

The gap exists because SPM vendors are incentivised to close the sale, not to slow it down with a six-week pre-sales data audit. Implementation partners bill hourly for cleanup work, so they have no incentive to prevent the mess — they clean it up on the clock. The buyer (the sales VP or CRO who signed the contract) is different from the person who discovers the data problem (the sales ops analyst or IT admin), so the pain lands on someone who wasn't in the room when the vendor promised a smooth rollout.

What's missing is an independent assessment, run before or immediately after contract signing, that maps the customer's actual data state against what the SPM tool requires — field types, completeness rates, duplicate rates, historical data depth. This isn't something the SPM vendor builds because it creates friction in their sales cycle. It isn't something the implementation partner builds because they prefer to discover problems after they're already engaged.

This is a business because SPM implementations fail or overrun on data problems at a predictable rate, the audit itself has a clear deliverable and timeline, and customers who do the audit once often need it repeated when they add a new data source or migrate CRM systems. A single implementation delay at a 500-person company costs more in wasted contractor hours than the audit would.

What to build

Build an automated data profiling tool that connects to a company's CRM and data warehouse, runs field-level quality checks against the specific ingestion requirements of the major SPM tools, and produces a gap report with prioritised cleanup tasks before implementation starts.

Where to start

Partner with Anaplan or Allego implementation consultants who repeatedly eat the cost of mid-project data cleanup — they have a financial incentive to refer clients to a pre-implementation audit service that prevents the mess they currently clean up at their own margin.

The hard part

Convincing a buyer to pay for a data audit before they've felt the pain of a failed implementation is a hard sell — the wedge only works if you can get in front of them during the vendor evaluation phase, which means you need a referral relationship with someone earlier in the buying process.

How it makes money

Fixed-fee per audit engagement, scoped by number of data sources and record volume; recurring retainer for customers who want ongoing data quality monitoring post-implementation.