Business intelligence
- The question it answers
- What happened, over weeks or months?
- Where it looks
- Data gathered into a warehouse or report
- What it produces
- Reports and dashboards someone reads
- Who acts on it
- Analysts and leaders, after the fact
Guide · Operational intelligence
What Is Operational Intelligence?
Operational intelligence is understanding what is happening across a business's operations as it happens, and why, by connecting the signals its systems produce, then bringing forward the few things that need someone's attention.
Last updated October 10, 2026
Defined
Operational intelligence, defined
Every system a business runs on produces signals: an order placed, a payment declined, a page that slowed down, a stock level that changed, a support ticket opened. Each system reports on its own part. Operational intelligence puts those signals side by side and asks what they mean together.
Signals from across the business
Not one system at a time: orders, payments, stock, deployments and support, side by side.
Context
What changed, what else happened around the same time, and which systems are involved.
Attention
Separating the conditions that matter from the noise, so people see the few that need them.
The problem
Why it's hard today
Most businesses run on many systems. Each one sees part of the business. None of them sees the business.
So the information needed to understand a problem usually exists, spread across several tools owned by different teams. Answering a simple question such as “Why was revenue down yesterday?” can mean pulling a report from one system, checking the alerts from another and asking a third team what changed. By the time the pieces are together, the moment to act may have passed.
The difference
Operational intelligence vs business intelligence and monitoring
They answer different questions, and a business usually needs all three.
Monitoring
- The question it answers
- Is this system healthy?
- Where it looks
- One system, or one layer of technology
- What it produces
- Alerts when a threshold is crossed
- Who acts on it
- The team that owns the system
Operational intelligence
- The question it answers
- What deserves attention now, and why?
- Where it looks
- Across business and technology systems together
- What it produces
- A few prioritized items, each with its reason
- Who acts on it
- Whoever can resolve it, while it still matters
Business intelligence explains the past well, and monitoring tells each team when its own system needs help. Operational intelligence works between them: it connects a technical event, such as a deployment or a slower payment provider, to its business effect, such as fewer completed orders, while there is still time to respond.
How it works
See. Understand. Act.
The aim is fewer, clearer items, not more alerts. Systems already generate plenty of alerts; the value is in the context across them.
- 1
See
Bring signals from across the business into one view.
- 2
Understand
Connect what is happening across systems and why it matters: which events are related, and which are noise.
- 3
Act
Surface what needs attention, with its reason, so the right people can respond before an issue grows.
An example
Revenue is down. Where do you look first?
This example is illustrative, not a description of a real business.
- eCommerce platformFewer completed orders yesterday
- Payment providerAuthorization rate lower than usual
- InfrastructureA checkout change deployed the evening before
Ask first
Did the checkout change affect payments?
Seen one at a time, each is a number on a different screen. Seen together, they point to one question worth asking first. Operational intelligence is what puts those three signals in the same place, in that order.
Choosing an approach
What to look for
- It works across the systems you already have, rather than asking you to replace them.
- It adds context, not alerts, related events grouped, and the reason something matters stated.
- It covers business and technology together, so a deployment and a drop in conversion can be connected.
- It answers questions in business terms, such as “What changed before checkout errors increased?”
- It decides what deserves attention, instead of leaving people to search a wall of charts.
Live
How ViewBeyond approaches it
ViewBeyond is live, working with businesses' own systems today. It connects the signals between the systems a business already runs on, such as the ERP, the eCommerce platform, the payment provider and the website's hosting, identifies what deserves attention and shows what is happening and why. Its product experience, The View, answers one question: what deserves my attention right now? It sits above existing systems and replaces none of them.
What ViewBeyond has done
Turned warehouse scans into a staffing plan
From the pick, cut and quality-control scans an ERP already records: productivity by person and station, where orders wait between steps, and how many people each hour of the day needs. No new hardware for the warehouse.
Bought across every location at once
Purchasing advice for a multi-location business that looks at stock, sales, open purchase orders and lead times across all locations together, and moves surplus between locations before buying more.
Caught payments with no order
Found checkouts where the payment was taken but the eCommerce platform never created the order, and flagged each one so it could be put right with the customer.
Daily sales by department
Built a daily report of orders by department and product group from the ERP, compared with the same day last year and with the week, month and season to date, and checked against the business's own history.
Ranked platform errors by business impact
Read the eCommerce platform's error logs, grouped the same error together, ranked them by their effect on sales rather than by log level, named the code that owns each, and wrote a root-cause report for the developer.
Sales reports that match the ERP
Daily and weekly sales reports by store, category and item, with the numbers checked against the ERP's own reports before anyone relied on them.
Explained slowdowns and outages
Measured page speed after every deployment, and when a website went down, gathered the hosting traffic, recent changes and error codes into one brief for the hosting company.