What Should a Good Executive Dashboard Really Show?

It's Friday morning, and the weekly management report is still not ready. Finance is gathering revenue data, sales is working from its own spreadsheet, the warehouse sees different inventory numbers, and production can only tell on Monday what actually slipped. By the time all the numbers are compiled into one document, management is no longer seeing the current operations but an uncertain version of last week's status. A well-constructed management dashboard can improve this situation - but only if it doesn't become just another flashy screen over the existing confusing information.

A management dashboard does not mean more reports

In many companies, the initial demand for implementing a dashboard is simply: "We want to see everything in one place." This is an understandable need but a dangerous starting point. If it is not clear what revenue means, when an order is considered fulfilled, which inventory data is valid, or who is responsible for correcting a data error, then the data arranged on one screen will not be more reliable.

The task of the dashboard is not to show every available number. Its job is to help the manager quickly recognize where operations deviate from the plan, where risk is increasing, and which area requires a decision. An executive needs different information than a warehouse manager or production manager. Therefore, in addition to common base data, views must also align with roles.

An overcrowded management interface often creates the same problem in digital form that was present with weekly Excel reports: there is a lot of data available, but it is not clear what to focus on. If a manager has to spend ten minutes searching for the real cause of a deviation, the dashboard is not supporting decision-making.

Understand decisions first

The right starting question is not what graphs are needed. Rather, it is what decisions need to be made regularly and what information is missing or arrives too late for these decisions.

For example, an e-commerce manager is not merely interested in the daily order count. They need to see how fulfillment time changes with increasing order volume, if there is a product group where inventory no longer meets forecasted demand, and if the proportion of faulty or partially fulfilled orders has increased. If revenue is rising but customer service inquiries and return costs are also accelerating, then just looking at the sales graph is not enough.

The situation is similar in a manufacturing company. The planned production volume can be reassuring data, while deadline orders are delayed, a critical raw material is at a dangerously low inventory level, or the defect rate worsens in just one shift. The value of management information lies in showing the connections, not just isolated metrics.

Therefore, when designing the dashboard, it is worth reviewing regular management decisions: capacity reallocation, procurement, pricing, inventory replenishment, workforce planning, customer prioritization, investment, or problem management. Then it can be determined which indicators signal real deviations for these decisions.

What data is worth seeing at the management level?

The answer varies by company, but some principles generally apply. A management dashboard is useful if the indicators are linked to business goals, have clear definitions, and have designated responsibilities. It is not enough to measure how many open orders there are. It is necessary to know what "open" means, which system is the data source, and above what threshold the value requires intervention.

In most growing organizations, three information layers can be distinguished. The first is financial and commercial performance: revenue, margin, order backlog, receivables, sales forecast. The second is operational performance: deadlines, lead times, capacity, inventory, errors, returns, or production deviations. The third is operational risk: manual processing queues, unprocessed exceptions, steps relying on a single employee's knowledge, missing or contradictory data.

This latter layer is often overlooked, yet it is particularly valuable for growth. If a team manually copies webshop orders into the ERP daily, it may not necessarily appear in the financial report. But if order volume increases, this step can soon cause delays, errors, and overtime. A management view should also help recognize where the current working method becomes a constraint.

Unreliable data is not a dashboard problem

A common misconception is that inaccurate numbers will be solved by a new reporting tool. Visualization does not correct if the same customer appears differently in three systems, if statuses are used differently by each department, or if inventory movements are only recorded at the end of the day.

In such cases, data quality is actually a process issue. Where is the data generated? Who records it? When does it become final? Which system is the primary source? Where does manual modification occur, and why? The answers to these questions are often more important than which business intelligence tool displays the result.

Sometimes a small process change is worth more than a large development. For example, if salespeople consistently record the expected closing date and order status, management already receives a much more accurate forecast. If warehouse withdrawals are handled with a unified process instead of via email, the causes of delays also become measurable. Only then is it worth deciding whether integration, automated data transfer, or custom development is needed.

A good management dashboard shows exceptions

Management rarely needs confirmation that usual operations are ongoing. They need to see in time what deviates from the usual or the plan. This could be a product group with declining margins, a customer whose orders are regularly delayed, or a department where machine breakdowns are increasing.

For this, not every indicator needs a complex predictive model. It already means a lot if the system clearly indicates predefined thresholds, compares actual data with the plan, and allows the manager to look behind the problematic area. A red alert is not a solution in itself, but in a good case, it prompts a specific question: what changed, where did it happen, who can check it, and what is the next step?

However, too many alerts quickly become ineffective. If every minor fluctuation generates a warning, the team will eventually ignore the notifications. Therefore, thresholds should be tied to business consequences. A minor inventory deviation may be insignificant, while a critical component with only two days' supply poses a real production risk.

Who owns and maintains the dashboard?

The management information system needs an owner. Not necessarily a single person, but every key indicator must have a business owner. They can determine if the definition is correct, if the data freshness is acceptable, and when the indicator needs to be reviewed due to changes.

This is especially important when a new system, new sales channel, or new site is introduced into operations. A previously well-functioning dashboard can easily become misleading if the process changes but the calculation logic does not follow. Therefore, management reporting is not a one-time IT project but part of managing operations.

Technology provides real value here if reliable data connections, verifiable calculations, and clear permissions operate in the background. In the CGAT approach, this means understanding the process, the data path, and the decision situation first, and only then selecting the appropriate technical solution.

When preparing the next management report, it's worth asking not only which number is missing from it. An equally important question is which deviation should have been noticed days earlier - and what prevented it from happening.