What discovery means here
Discovery is our method of business engagement, not a hunt through your historians and file shares. We work with you to name the decisions you need to support, the measurement and connectivity requirements those decisions imply, and the boundaries of a first engagement — so work starts from shared requirements, not from a vague “make the data better” brief.
Industry detail on sensors and links lives on field measurement and field connectivity; Discovery is how we decide which of those needs apply to your operation and how we will work together on them.
What we clarify
A discovery engagement focuses on requirement needs and outcomes:
- Decisions & consumers — which roles (ops, production, HSE, finance, facility) need which answers, and how often.
- Data requirements — identity, time, quantity, calibration, and audit expectations for the readings or events that matter (see measurement requirements when sensors are in scope); land and GIS needs when leases, tracts, and map services are in scope.
- Connectivity constraints — coverage, power, bandwidth, and failover realities that bound what is feasible on site.
- Office use — reporting, portals, APIs, and handoffs into existing systems without promising plant actuation.
- Success criteria — what “done” means for this engagement: artifacts, reviews, timelines, and who signs off.
How the engagement runs
- Intake — short discussion of focus area (oil & gas, data centers, or both), pain points, and constraints. No sales deck required.
- Requirements workshop — structured sessions to capture who · what · where · when · how much · how measured needs, and which systems or people consume them.
- Scope & options — a written view of priority requirements, gaps, and practical options (measurement model, connectivity mix, office views, integration boundaries).
- Engagement proposal — clear phases, deliverables, and decision points so both sides know how work proceeds — or stops — after discovery.
- Go / adjust / hold — you choose next steps; discovery itself is valuable even when build waits.
What you leave with
| Artifact | Purpose |
|---|---|
| Requirements summary | Named data needs tied to decisions and roles — not a raw inventory dump. |
| Priority & gap view | What must be true first vs. later; where current practice falls short. |
| Engagement map | How we would work together next: consulting only, design, bridge build, or hold. |
| Boundary notes | What stays in OT / plant control vs. office-facing data services. |
Discovery process = engage on business outcomes → clarify data requirement needs → agree scope and how we work together → decide next steps with eyes open.
Why start here
Custom data work fails when the engagement begins at tools instead of requirements. Starting with Discovery keeps the conversation on what your business must measure, connect, and trust — then matches method and effort to that need. Related technical pages remain reference material; Discovery is the door to working with us.