Management dashboards and BI reporting for businesses

A dashboard is simply a panel that shows the most important information needed to understand a situation and make a decision. BI reporting organises business data so that it can be compared, filtered and understood without assembling yet another spreadsheet by hand.

We do not start with the number of charts. We first establish which question the dashboard should answer and who will use it.

The data exists, but making a decision is still difficult

A business can have a great deal of information and still lack a clear view of what is happening. The problem usually appears when data is scattered or each report requires work from several people.

It is worth considering a custom dashboard or automated report when:

• the same data is regularly copied from a system into a spreadsheet;
• a report reaches the manager when some of its information is already out of date;
• different departments report different values for the same result;
• important numbers are hidden across several screens, files or applications;
• an employee spends time combining data instead of analysing it;
• the current system stores the data but does not present it in a useful form for an owner or manager;
• a report contains many charts but still does not show what requires attention;
• every user sees the same information despite having a different role.

A dashboard cannot repair missing data or definitions that people understand differently. It can, however, expose these problems and organise how a result is calculated, compared and presented.

Start with the business question, not the chart

A useful dashboard begins with a decision, not with choosing chart colours. For the first view, we establish:

1. Who needs the information. An owner, manager, partner and employee may each require a different data scope.
2. Which decision the report should support. This may include reviewing sales, monitoring delivery, settling a partner account or identifying a delay.
3. Which numbers are truly needed. The most important measures, often called KPIs, should follow from a specific question.
4. What each number means. We define which data is included, what time period the result covers and what is excluded.
5. What the result should be compared with. This may be an earlier period, an agreed target, another team or a selected group of records.
6. How the result will be checked. A selection of figures should be comparable with a manual calculation or an approved source report.

More measures do not always provide better information. The first dashboard should show only what helps someone notice a situation and take the next step.

Which type of solution may be suitable?

A dashboard inside the existing system

If the required data already exists in an application, we can add a view for a particular role. The user then works in one place, while the dashboard uses the system's current records. Before extending the application, we need to review its data structure, permissions and technical options.

A separate dashboard

A separate panel may be suitable when management needs a simple view without access to the entire system, or when the report uses several agreed sources. The connection method and update schedule must be checked first.

Automation of an existing report

If a business repeatedly prepares the same spreadsheet report, we can identify which steps can be automated. Automation reduces repetitive work, but it will not fix unclear definitions or errors in the source data.

A report for a specific process

A report may support settlement, operational control, work preparation or passing a result to another person. It can be a view in the system, a PDF, a spreadsheet export or another agreed format. We choose the form according to its audience and how the data will be used next.

We do not sell one ready-made BI platform. We build a solution that fits the client's process, data and environment.

Where does the dashboard get its data?

Data may come from an existing application, database, secure API, controlled export or file. We first check what the specific source can provide.

• When the report runs inside the same system, it can calculate values from current application records.
• When an external application provides a suitable API, automatic retrieval can be assessed.
• When only an export is available, a controlled file import may be appropriate.
• When several sources are involved, common identifiers, update order and the source that resolves differences must be agreed.
• When data is missing or incorrect, the report should reveal that instead of presenting a falsely certain result.

We choose automation wherever it is technically possible and safe. A manual step remains only when the source does not support a reliable connection or automation is not justified.

Not every report needs real-time updates. In some cases, refreshing once a day, once an hour or after a particular process is complete is entirely sufficient. We choose the frequency according to the decision, source capabilities, cost and system load.

Different roles can see different information

An owner may need a company-wide summary, a manager may need a team result and a partner may need only their own bookings or settlements. Before building the dashboard, we therefore establish:

• who may open the report;
• what data each role can see;
• which filters a user may change;
• whether they can move from a summary to details;
• whether data or reports can be downloaded;
• which information is confidential;
• how access is removed when a role changes or cooperation ends.

Hiding a button is not sufficient protection. Access to the underlying data must also be controlled by the system.

Start with one small dashboard

The first stage does not need to cover the whole business. It is often better to select one group of users, one important decision and a few agreed measures.

A practical first stage may include:

• one user role;
• one process or decision area;
• a small set of important measures;
• one verified data source;
• a time range and a basic comparison;
• a visible indication of errors or missing data;
• a simple way to check selected results manually;
• agreed acceptance criteria.

If the report requires many sources, data cleansing or agreement on conflicting definitions, the first paid stage may be business analysis and application MVP scoping. We include the cost of this analysis in the total project cost if the client commissions the implementation from us. The scope and price are agreed individually.

How do we check whether the report calculates correctly?

An attractive chart is not enough. We agree a simple definition and test cases for every important figure.

During acceptance, we may check whether:

• the result covers the correct period and records;
• cancelled, incomplete or test records are handled as agreed;
• a dashboard total matches a manual calculation for a selected sample;
• filters change only the intended scope;
• a user cannot see data outside their role;
• a lost source connection is visible and does not leave a misleading result;
• repeated retrieval does not duplicate data;
• an export matches the information displayed in the dashboard.

If a source contains incorrect or incomplete data, we agree whether the report should flag it, omit it or stop the calculation. That decision should not be left to an accidental mechanism.

Example: dashboards and reports in the 44Islands system

In the 44Islands booking system, we built custom dashboards for administrators and partners. The administrator receives sales, revenue and booking summaries, monthly results, and rankings of trips and partners. A partner sees their own bookings, sales, commission and monthly results.

The system also includes an operational report that groups bookings by trip, date, pickup point, accommodation and seller, while summarising participant numbers. Separate statements support commission settlements and the preparation of a PDF document.

Values are calculated automatically from the booking system's current data. This is an example of custom reporting within a business application, not an implementation of a ready-made Power BI platform or a separate data warehouse.

Read the 44Islands booking system case study.

How do we start working together?

1. Define the question. We identify the decision the dashboard should support and who will use it.
2. Review the sources. We assess systems, databases, APIs, exports and the quality of the required data.
3. Define the measures. We record what each result means, which period it covers and which exceptions apply.
4. Agree access. We define roles, filters, export options and the scope of confidential data.
5. Design the first view. We present the essential information without unnecessary complexity.
6. Compare the results. We check sample calculations and agreed error cases.
7. Develop further stages. Additional sources, reports and roles are added under an agreed scope.

When will a dashboard not solve the problem by itself?

A dashboard presents data, but it does not replace an organised process. The source problem should be addressed first when:

• important data is not recorded at all;
• employees interpret the same statuses or results differently;
• systems do not share a common identifier;
• access to the source is unstable or conflicts with the provider's terms;
• nobody is responsible for the accuracy and freshness of the data;
• the report is expected to replace a decision for which the business has not defined any rules.

In this situation, the right starting point may be to organise a CRM or ERP system, implement a system and API integration, or carry out business analysis and MVP scoping.

Frequently asked questions

Can the dashboard run inside our current system?

Yes, if the system can be extended safely and contains the required data. Before confirming the scope, we review its technology, data structure, permissions and maintenance model.

Do we need to replace our current CRM, ERP or accounting software?

No. If the current applications perform their jobs well, the dashboard can use their data or work as an additional module. Replacement only makes sense when system limitations block the agreed result.

Can the data update automatically?

Yes, if the source provides a secure connection, API, database access or controlled export. We agree the update frequency after reviewing the possibilities, cost and need. We do not promise real-time data without that assessment.

Can data from several systems or spreadsheets be combined?

This is often possible, but formats, identifiers, access methods and differences between the sources must be reviewed first. If two sources show different values, we agree which one takes priority.

Who defines the important measures and how they are calculated?

We do this together with the people who know the process and make the decisions. We help turn a business need into clear definitions, but we do not invent the meaning of data without the client's knowledge.

Can different users see different data?

Yes. We can plan separate views and data scopes for an owner, manager, partner or employee. The exact roles and permissions are agreed before implementation.

How do we check whether the report calculates correctly?

We define the calculation and compare selected results with manually checked examples or an approved source report. We also test filters, missing data, permissions and connection errors.

Can we keep Excel or PDF exports?

This can be included when it is needed for further work. We agree the format, data scope, recipients and protection requirements. Not every dashboard needs both types of export.

Do you build reports in Power BI?

Our current offer covers custom dashboards and reports tailored to the client's application and process. We do not present Power BI as a standard part of this service. If a project requires a specific platform, it must be assessed separately before the scope is confirmed.

What determines the cost and delivery time?

They depend on the number of sources, data quality, measure definitions, roles, filters, update frequency, integrations, exports and maintenance model. We agree the scope, price and schedule individually.

What should you send us first?

In your first message, describe:

• who will use the dashboard;
• which decision it should support;
• which numbers matter most;
• where the data currently comes from;
• how often the current report is prepared;
• which steps are performed manually;
• who should see the full result and who should see only their own scope;
• which error or missing data occurs most often;
• how you will know that the first stage works correctly.

You may attach a sample report or spreadsheet after removing personal data, client information and other confidential details. Do not send passwords, API keys, database copies or production access credentials.

CTA: Discuss your first dashboard

Before the conversation, prepare the assumptions in the free first dashboard planner.

If you first want to organise the basic information yourself, use our free project brief builder.

See also custom CRM and ERP systems, system and API integrations, and business analysis and MVP scoping.