The cost of a data map depends on how many systems and teams are involved and how often things change. Send us your counts by email and we will reply with questions or a scoped estimate.
Opsware designs and builds data and automation systems as part of its engineering services. Data discovery and mapping is one of the things we build.
What drives the cost
- Business units. Each team you interview adds time, and every person in the room counts.
- SaaS vendors. Each third-party tool that holds personal data needs an owner, a purpose and a look at its contract terms.
- Internal systems. Production databases, warehouses, file shares and in-house apps. A few complex ones can dominate the work.
- Upkeep. A map is out of date as soon as a new tool is bought. How often you review it, and how much changes between reviews, often costs more over a few years than the first build.
- Manual or automated. Interviews and spreadsheets cost people's time. Automated discovery shifts the cost into building and running connectors. See the data mapping and discovery guide.
For a worked example of how the time adds up, read What a manual data map really costs. Its numbers are illustrative assumptions, not industry benchmarks.
Ask for an estimate
Email hello@opsware.co with the following, rough numbers are fine:
- How many business units or teams handle personal data.
- About how many SaaS vendors and internal systems hold it.
- Whether you want a one-off map, a map that stays current, or automated discovery.
- Any deadline, such as an audit or a customer questionnaire.
We will reply with questions or a rough plan. You can also read more on the contact page.
Related reading
If you are comparing tools, the privacy software buyer's checklist lists the questions that matter, and the privacy tech stack explains where mapping tools fit. For the record fields themselves, see the ROPA template.