Most organisations commission their first analytics engagement without knowing how to evaluate what they are buying. The result is proposals that are difficult to compare, a selection process that favours confident presentation over delivery capability, and a contract that does not protect the buyer when things are harder than expected.
This guide is written for operations and finance leaders commissioning analytics work for the first time. It covers what to ask, what to avoid, how to evaluate proposals, and the red flags that indicate a supplier is not right for the engagement.
The proposal that wins the most engagements is not always the one that delivers the best outcome.
What to ask - and what good answers sound like
The questions that reveal whether a supplier can actually deliver are not the obvious ones about methodology and experience. They are about how the supplier handles ambiguity, how they structure engagements that go differently than planned, and what they do when the data turns out to be worse than expected.
The red flags most buyers miss
Some of the most common red flags in analytics proposals are also the most presentable: comprehensive methodology decks, impressive case study selections, and detailed project plans that suggest certainty about work that has not yet been scoped.
What the guide covers
- The questions to ask when evaluating an analytics supplier - and what good answers sound like
- How to structure a proposal process that surfaces delivery capability over presentation quality
- The red flags that indicate a supplier is not right for your organisation or engagement
- How to evaluate proposals when the technical detail is outside your expertise
- What a well-structured analytics contract should protect against
Who this is for
Operations directors, finance leads, and senior managers commissioning analytics or data engineering work for the first time, who want to evaluate suppliers without needing deep technical knowledge to do so.