Description

KPI

A CEO monitors a limited set of indicators to steer the company with a clear view of growth, profitability, execution, and risk. The most relevant KPIs include:

• Revenue Growth: Measures the company’s ability to increase sales over time.
• EBITDA / Operating Margin: Tracks profitability and operational efficiency.
• Cash Flow: Shows the company’s ability to generate cash and finance operations.
• Net Profit: Measures the overall financial performance of the business.
• Order Intake: Indicates commercial momentum and future activity.
• Customer Satisfaction: Reflects service quality and long-term business strength.
• On-Time Delivery: Confirms the company’s ability to execute reliably.
• Working Capital: Measures how efficiently cash is managed across stock, receivables, and payables.
• Inventory Level: Helps control cash exposure and operational continuity.
• Productivity: Evaluates how effectively the organization converts resources into results.
• Quality Performance: Tracks defects, claims, and the cost of poor quality.
• Risk Exposure: Measures the company’s vulnerability to operational, financial, or supply disruptions.
• Forecast Accuracy: Shows how well the company anticipates sales, demand, and activity levels.
• Data Availability: Measures whether key decision data is accessible when needed.
• Data Reliability: Evaluates the consistency and accuracy of reporting used by management.
• Reporting Lead Time: Measures how quickly management data becomes available for decision-making.
• Decision Cycle Time: Tracks how fast the company turns data into action.
• Cross-Functional Data Alignment: Confirms that finance, sales, operations, and supply chain work from the same figures.
• Digital Adoption Rate: Measures the real use of dashboards, ERP data, and management tools across the organization.

The Role of Data for a CEO

For a CEO, data is a management and decision tool. It is used to steer the company, align departments, detect deviations early, and focus leadership attention on the issues that have the greatest business impact. Good data gives the CEO a reliable view of sales, finance, operations, supply chain, quality, and human resources.

Data also plays a strategic role. It helps the CEO compare forecasts with reality, identify structural weaknesses, monitor transformation, and improve the speed and quality of executive decisions. In a complex company, data is what turns separate functions into one coherent business system.

What Certification?

There is no single mandatory certification for a CEO, but several programs can strengthen the role. An MBA or Executive MBA is often useful for strategy, finance, and general management. Certifications in Lean Six Sigma, project management, corporate governance, risk management, or data-driven leadership can also support better decision-making and stronger execution in industrial environments.

Daily Follow-Up Files

A CEO needs a simple and structured daily view of the business. Daily follow-up files make it possible to monitor sales activity, delivery performance, inventory evolution, cash exposure, customer issues, and operational bottlenecks. They help detect weak signals before they become financial or organizational problems.

With the right daily data, a CEO can align the leadership team around facts, focus on the most critical priorities, and improve the company’s ability to react quickly. This creates better discipline, stronger coordination, and more robust decision-making at executive level.

Examples of Data-Driven Decisions for a CEO

In an industrial company, a CEO uses data to decide where attention is needed most, which risks require escalation, and which priorities must be reviewed at company level. The objective is not to manage every operational detail, but to use the right indicators to support timing, alignment, and business decisions.

• Reprioritizing company actions: when service level, customer impact, shortages, and financial exposure show that one issue is starting to affect several departments at the same time.
• Escalating a supply risk: when supplier delays, stock coverage, and open customer orders show that a local issue may become a company-wide problem.
• Reviewing inventory exposure: when stock value, inventory turnover, obsolete stock, and service trends show that inventory is drifting away from operational needs.
• Challenging recovery plans: when premium freight, urgent purchases, delays, or repeated disruptions begin to affect cost, margin, or delivery performance.
• Arbitrating between departments: when production, supply chain, finance, and customer priorities are in conflict and shared data is needed to support one clear decision.
• Tracking execution quality: when open actions, missed deadlines, recurring escalations, or unstable KPIs show that management follow-up is not strong enough.
• Focusing executive attention: when dashboards show that one plant, one supplier, one project, or one product family requires closer review.

For Victor at NorthBridge Components, these decisions depend on structured dashboards, executive reviews, follow-up files, and clear management indicators. Data helps transform scattered issues into visible priorities, measurable risks, and concrete decisions.