Data Control Center
Data Control Center brings inspection, sensor, drone, and SCADA data from every vendor into one governed record. Where that data lives, and who can reach it, stays the operator's decision.
One governed record, whatever the source
Data Control Center takes the inspection files, sensor readings, drone captures, and system records a network already holds, in whatever form each vendor produced them, and makes them one governed set of operational data. Engineers work from information they can locate, check, and trace.
- Inspection files, sensor readings, drone captures, and system records arrive in one place.
- Incoming records are checked on intake, so gaps and inconsistencies surface before the data is used.
- Access and ownership are set per team and per system, and stay visible.
- Every change is recorded, so the history behind a decision can be reconstructed.
Control of the data stays with the operator. Where it is held, who can reach it, and what leaves the network are your decisions, not conditions of use.
For engineering and asset teams
Engineers lose hours to locating data, reconciling formats, and confirming that a record is current. Data Control Center changes what they start from.
One place to look, not five
Inspection files, sensor readings, drone captures, and system records are held together rather than spread across separate tools. An engineer starts from the record instead of assembling it.
Whatever the instrument, one format
Measurements arrive in whatever form each vendor's tools produce. Data Control Center brings them into one structure, so adding an instrument does not mean changing how the data is handled.
Data you do not have to check by hand
Records are examined for completeness and consistency when they arrive. An engineer opening a record is not the first person to discover that a field is missing.
For compliance and regulation
Operational data that supports safety-critical decisions has to be accountable: where it came from, who reached it, and where it is held.
Provenance held with the record
Each record carries its origin: the source it came from, when it arrived, and the asset it belongs to. Any figure in a decision traces back to where it entered.
A complete change history
Every change is recorded. The state of a record at the moment a decision was made can be shown rather than recalled.
Access set deliberately
Read, change, and export rights are set per team and per system, and stay visible. Who can reach a record is decided, not left to a default.
Where your data lives is your decision
Data Control Center can be hosted by REDXGRID, delivered with inspection, or run entirely inside your own infrastructure. Operators with sovereignty obligations keep data on their own systems.
Prepared for NIS2
Data Control Center is designed for the obligations placed on operators of critical infrastructure, including how operational data is held, controlled, and accounted for.
Your data stays portable
Records can be exported in full. Nothing about the way the data is held obliges an operator to keep it with REDXGRID.
For the business
Data that cannot be found, trusted, or produced on request costs money quietly, in duplicated work and in decisions taken later than they should be.
One record instead of parallel systems
Inspection results, asset records, and field evidence are held once rather than maintained separately in every tool that needs them. The cost of keeping versions in step disappears.
Decisions taken on current information
Engineers act on the record as it stands rather than waiting for a data pull or a reconciliation. The time between measurement and decision comes down.
Adding a vendor is not a rebuild
New instruments, contractors, and inspection methods connect into the same governed layer. Measuring more of the network does not mean commissioning another system to hold it.
How this differs from what the market does
Three ways of handling inspection and sensor data are common across network operators today. Each of them leaves the record incomplete.
Data held in the system that produced it
Inspection files, sensor readings, and system records stay in the tool that created them, so assembling a view of one asset means visiting several systems. REDXGRID holds them as one governed record against the asset they belong to.
Integration rebuilt for every new source
Each new instrument or contractor arrives in its own format, and reconciling it is manual work repeated every time. REDXGRID normalises incoming records on intake, so a new source does not become a new process.
Data control handed to the platform
Operators are often asked to move their records into an environment they do not govern. REDXGRID can run inside your own infrastructure, with access and ownership set per team and visible at all times.
Method and evidence
A record is only useful if its origin, its handling, and its history can be examined. This is what a Data Control Center record rests on.
Checked on intake, not after the fact
Incoming records are validated as they arrive. Gaps and inconsistencies are surfaced at the point of entry rather than discovered later in a review.
One format, whatever the instrument
Records from different instruments, contractors, and systems are normalised to a single structure, so a comparison across sources is a like-for-like comparison.
History that can be reconstructed
Every change is recorded against the record it affected, so the state of the data behind a past decision can be reconstructed rather than recalled.
Data Control Center governs the records it is given. It does not interpret condition or issue a diagnostic verdict, and where a record is missing it shows that it is missing rather than inferring a value. REDXGRID states the limit of its evidence.
Put operational data under control.
Review the module against your own data sources, permissions, and integration constraints.
