What Is a Dashboard and What Is It For?
By Okun Data · March 23, 2026 · 7 min read
If you've ever wondered how the most efficient companies make fast, data-driven decisions, the answer almost always involves a dashboard. Tools like Power BI, Tableau, and Google Looker Studio have made dashboards accessible to organizations of any size. In this article, we explain what a dashboard is, what it's for, what types exist, and how you can start using one in your business.
What Is a Dashboard?
A business dashboard (also called a control panel or scorecard) is a centralized screen that displays, visually and in summarized form, the most important indicators and metrics of a business. Its goal is to provide a clear, fast view of the state of the organization — without having to review multiple spreadsheets or separate systems.
The most commonly used analogy — and the most accurate — is the dashboard of a car. When you drive, you don't need to know the details of how the engine works: it's enough to glance at the speedometer, the fuel level, and the temperature gauge. If something is out of range, a warning light alerts you immediately. A business dashboard works exactly the same way: it concentrates critical information in one place so that whoever is steering the business can react in time.
Unlike a traditional report — which is static and generated once — a dashboard is dynamic: it updates automatically as new data arrives, can connect to multiple sources simultaneously, and allows users to explore information interactively.
Types of Dashboards
Not all dashboards are the same. Depending on their purpose and target audience, we can distinguish four main types:
1. Operational Dashboards
These are designed for real-time monitoring of daily operations. They are used by logistics, customer support, production, or any team that needs to respond quickly to events. For example: a distribution center dashboard that shows pending orders, delivery times, and incidents from the current shift.
2. Analytical Dashboards
Their focus is on analyzing trends and historical data. They are not for making immediate decisions, but for understanding what happened and why. A typical example is the marketing dashboard that shows campaign performance over the last 12 months, comparing channels and audience segments.
3. Strategic Dashboards
These are used by senior leadership (C-level) to monitor the most important long-term KPIs of the business: profitability, market share, growth, customer satisfaction. They typically have few but very carefully selected metrics, with a high-level view and no operational granularity.
4. Tactical Dashboards
Aimed at middle management (managers, department heads), they combine operational and strategic elements. They allow teams to monitor performance with enough detail for short-term decision-making without losing sight of overall objectives.
What Tools Are Used to Build Dashboards?
The Business Intelligence tools market has grown enormously in recent years. Here are the main options:
Power BI (Microsoft)
Power BI is the most widely used BI tool in businesses worldwide, and for good reasons. It is part of the Microsoft 365 ecosystem, giving it native integration with Excel, Teams, SharePoint, and Azure. It offers Power BI Desktop for free to create reports, and Power BI Pro (around USD 10 per user per month) to publish and share in the cloud. For large organizations, Power BI Premium provides enterprise-scale capabilities and advanced AI. If your company already uses the Microsoft ecosystem, Power BI is the natural choice.
Tableau
Tableau (by Salesforce) is recognized for its power in advanced visual analytics. It allows the creation of highly sophisticated visualizations and is very popular in academic and scientific analysis environments. Its price is considerably higher than Power BI (over USD 70 per user per month), so it tends to be justified in organizations with mature analytics teams and specific visualization needs.
Google Looker Studio
Looker Studio (formerly Google Data Studio) is a free and very accessible option, ideal for those already working within the Google ecosystem: Google Analytics, Google Ads, Google Sheets, BigQuery. It is excellent for digital marketing teams, though it has limitations in complex data modeling and enterprise connectors.
Qlik Sense
Qlik Sense is an enterprise-level alternative with a very powerful associative data engine. Its learning curve is steeper, but it offers advanced flexibility for complex analysis. It is more common in industries such as manufacturing, banking, and large-scale retail.
Our recommendation: for the vast majority of mid-sized companies that already use Microsoft 365, Power BI offers the best cost-benefit ratio, the most seamless integration with their existing data, and a reasonably accessible adoption curve.
What Information Can a Dashboard Display?
The short answer is: any data your company generates that is relevant to decision-making. Some examples by department:
- Sales: revenue by rep, conversion rate, opportunity pipeline, quota attainment.
- Finance: P&L, cash flow, debt and liquidity, budget vs. actuals comparison.
- Human Resources: headcount, turnover, absenteeism, distribution by department and seniority.
- Logistics and Operations: real-time inventory, delivery times, incidents, plant efficiency.
- Marketing: campaign performance, cost per acquisition, web traffic, conversions.
- E-commerce: orders, average ticket, abandoned carts, user behavior.
One of the most valued features in tools like Power BI is cross-filtering: when you click on an element in any chart — for example, a region on a map — all other visuals on the dashboard automatically filter to show only the data for that region. This interactive exploration capability makes analysis much more fluid and allows users to discover insights without having to manually configure filters each time.
Concrete Benefits for Businesses
Implementing dashboards is not just a technology matter: it has a direct impact on operational efficiency and the quality of decisions. The most common benefits we observe in our clients are:
- Time savings on reporting: teams that used to spend entire days building Excel reports now have them available automatically and up to date. This can represent a reduction of up to 80% in report preparation time.
- Faster and better-informed decisions: when data is available in real time, decision-makers don't need to wait until month-end to detect problems or seize opportunities.
- Unified visibility: instead of having data scattered across different systems (CRM, ERP, spreadsheets, etc.), the dashboard centralizes everything in a single coherent view.
- Fewer errors: automation eliminates the human errors typical of copy-pasting between spreadsheets, which often generate inconsistencies in reports.
- Better team alignment: when everyone sees the same numbers, meetings are more productive and discussions focus on what to do — not on whether the data is correct.
How to Get Started with a Dashboard in Your Business
The dashboard implementation process typically follows these steps:
- Define your KPIs: before thinking about technology, it's essential to agree on which metrics truly matter to the business. Less is more: a good dashboard has between 5 and 15 well-chosen indicators.
- Identify and connect data sources: where does that data live? In the CRM, the ERP, Excel spreadsheets, a SQL database? The tool must be able to connect to those sources reliably.
- Model and transform the data: in most cases, raw data is not ready to be visualized directly. It needs cleaning, unification of criteria, and relational modeling.
- Design the visualizations: choose the right chart type for each metric, organize information logically, and make sure the dashboard is easy for end users to interpret.
- Publish and share: once ready, the dashboard is published so authorized users can access it from any device, with the appropriate permissions based on their role.
Each of these steps requires judgment and experience. Defining KPIs poorly at the outset, for example, can make the dashboard useless even if it's technically well built. At Okun Data we accompany the entire process, from data strategy to implementation and team training. Learn more about our Business Intelligence service.
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