Historical data is the record that proves a process behaved as required, over time, and after the fact. Regulators, auditors, and customers rarely ask what a system is doing right now – they ask what it did last month, during a specific batch, or in the hours before an incident. Without a complete, time-stamped, and reliably captured history of process values, alarms, and events, there is no way to answer that question with evidence rather than memory or assumptions.
For industrial operations in regulated or quality-sensitive sectors such as oil & gas, pharma, food & beverage, water treatment, mining, historical data is not a nice-to-have byproduct of automation. It’s the foundation that compliance reporting, audits, and root-cause investigations are built on.
What Counts as “Historical Data” in Industrial Operations
In a plant environment, historical data generally falls into three categories:
- Process values: temperatures, pressures, flow rates, and other measurements captured over time from PLCs, SCADA, DCS, or field devices.
- Alarms and events: deviations, operator actions, and state changes, each with a timestamp and, ideally, an acknowledgment record.
- Batch and production records: the sequence of parameters and events tied to a specific production run, lot, or shift.
Each is only useful for compliance if it is captured continuously, stored with an accurate timestamp, and retrievable later without gaps, which is a very different requirement from simply displaying current values on an operator screen.
Why you need to archive your Alarms & Events
Why Regulators and Auditors Require Historical Process Data
· Traceability and audit trails
An audit trail is, at its core, a historical record: who did what, when, and what the process was doing at that moment. Auditors in regulated industries expect to reconstruct events after the fact, not to be told what “usually” or “supposedly” happened.
· Batch and production records
In pharma, food & beverage, and other Good Manufacturing Practice (GMP)-governed environments, every batch needs a complete record of the parameters it was produced under. That record only exists if historical data was captured and archived for the full duration of the run, not sampled or truncated.
· Root cause investigations
When an incident, deviation, abnormal condition, or customer complaint occurs, the first question is almost always “what was the process actually doing at that time?” Historical data lets a team answer that with recorded data values instead of assumptions, which changes how fast an investigation can close and how defensible the conclusion is.
Compliance Frameworks That Depend on Historical Data
Specific requirements vary widely by industry and jurisdiction, but the underlying expectation, accurate, retrievable, tamper-resistant historical records, shows up across most industrial compliance frameworks: quality management standards like ISO 9001, electronic-record requirements such as FDA 21 CFR Part 11 in pharma and life sciences, and environmental or safety reporting obligations tied to permits and incident reporting.
| Industry | Primary Regulatory Compliance Frameworks |
|
Oil & Gas |
OSHA Process Safety Management (PSM), EPA Risk Management Program (RMP), API Standards, ISO 29001, Environmental regulations (EPA, local authorities), Regional energy regulators |
|
Water & Desalination |
Drinking water regulations (EPA National Primary Drinking Water Regulations in the U.S. or equivalent national regulations), WHO Guidelines for Drinking-water Quality, Environmental discharge regulations, ISO 24512/24516, Local water authority regulations |
|
Pharmaceuticals |
GMP (Good Manufacturing Practice), FDA 21 CFR Parts 210 & 211, FDA 21 CFR Part 11, EU GMP (including Annex 11), PIC/S GMP Guide, ICH Guidelines (Q7, Q8, Q9, Q10), GAMP 5 |
The common thread: compliance frameworks do not just require that a process was controlled. They require that you can prove it was, after the fact, with data.
From Real-Time Data to Compliance-Ready Records
Getting from “the PLC has this value right now” to “this value is stored, time-stamped, and retrievable three years from now for an audit” requires an archiving layer. . They define how a client application retrieves already-stored historical data from a server or historian, and archiving tools use that same historical layer to move data into a structured database where it can be queried, reported on, and retained for as long as compliance requires.
Many sites though do not have a historian or an OPC HDA server at all. Only OPC DA servers exposing live, real-time values with no historical layer behind them are available. In that case, there is nothing for a client to retrieve historically, because nothing has been recorded yet. This is where OPC Easy Archiver’s role is different from a pure HDA client; rather than retrieving historical data that already exists, it connects directly to OPC DA (real-time) servers, continuously collects the live values as they are produced, and writes them into a structured database itself, effectively creating the historical record from scratch.
For sites with an OPC HDA server, OPC Easy Archiver can retrieve and consolidate that existing history. For sites without one, it builds the archive directly from real-time data, so the absence of a historian does not mean the absence of compliance-ready records
For a deeper look at how that retrieval standard works, see our guide about OPC Easy Archiver and OPC HDA.
How Much Historical Data Do You Actually Need to Keep?
Large plants with thousands of tags and second resolution requirements often lean on a full-scale historian platform to manage that volume. But not every site needs that scale. For small-to-mid sized operations, or teams that mainly need OPC DA, HDA, and AE data captured reliably into a standard SQL database for reporting and audits, a purpose-built OPC archiving tool delivers the same compliance-relevant outcome : a complete, time-stamped historical record, without the cost and complexity of a full historian deployment.
Common Historical Data Compliance Gaps
Even plants that are collecting historical data often fall short of audit-ready in a few recurring ways:
- Data silos: historical data scattered across multiple historians, PLCs, or local files with no centralized, queryable archive.
- Short or inconsistent retention: data aged out or overwritten before the required retention period has elapsed.
- Gaps from network or database outages: data lost during a communication failure rather than buffered and recovered.
- Alarms and events treated as short-lived alerts: acknowledged and then discarded, rather than archived alongside process values.
- No single source of truth: the same tag value stored differently across systems, making it hard to demonstrate which record is authoritative during an audit.
Building a Reporting-Ready Historical Data Strategy
A few principles hold regardless of industry or which historian/archiving tool is in place:
- Capture continuously, not just on-demand: compliance gaps usually trace back to a period where data simply was not being recorded.
- Centralize into a structured database: SQL-based storage makes historical data queryable for reporting, not just retrievable one tag at a time.
- Buffer during outages: store-and-forward capability prevents network or database downtime from becoming a permanent data gap.
- Archive alarms and events alongside process data: an audit trail is incomplete without the deviations and operator actions that accompanied the process values.
- Set retention policy against your actual compliance obligations: not a default, and not “as much as storage allows”.
This is exactly the layer OPC Easy Archiver is built for: continuous, store-and-forward archiving of OPC DA, HDA, and AE data into structured, standard databases, turning scattered real-time and historical values into the reporting-ready record compliance teams need.
Download OPC Easy Archiver for free
Frequently Asked Questions:
What is the difference between real-time data and historical data in compliance reporting?
Real-time data shows what a process is doing right now and is used for operator decisions and alarms. Historical data is that same information captured, time-stamped, and stored so it can be retrieved later. Compliance reporting depends on historical data because auditors and regulators review what happened over a period, not the current instantaneous reading.
How long should industrial historical data be retained for compliance?
Retention requirements vary by industry and regulation. Pharmaceutical and food & beverage operations under GMP rules, for example, typically require multi-year retention of batch records, while environmental permits often specify their own minimum retention windows. There is no single universal figure, so retention policy should be set against the specific regulatory framework and customer contracts that apply to the site, not a generic default.
What happens if historical process data is incomplete or has gaps?
Gaps in the historical record, caused by network outages, historian storage limits, or fragmented archives across multiple systems, undermine an audit trail's credibility and can turn a routine compliance review into a finding. This is why reliable archiving tools include store-and-forward buffering, which captures data locally during an outage and backfills the database once connectivity returns, so the record has no missing intervals.
Does OPC HDA data qualify as an audit-ready record?
OPC HDA (Historical Data Access) is the standard interface for retrieving archived process data from a historian or compliant server, but the connection itself does not create compliance - what matters is where that data ultimately lands. Archiving OPC HDA data into a structured, access-controlled database with complete timestamps and no collection gaps is what makes the resulting record usable as audit evidence.
