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Glossary

What is a dashboard?

Dashboards are visual overviews that present business KPIs in a compact format, highlight important trends, and enable fast, data-driven decisions. Their purpose is to make complex information easy to grasp and support well-founded decisions. In a business context, dashboards consolidate data from different sources and provide an at-a-glance view of the company’s “state.”

AT A GLANCE

At a glance

  • turn complex figures into easy-to-understand visualizations
  • help users continuously keep both operational processes and strategic objectives in view
  • present information through charts, tables, and other visual elements
  • good dashboards are clear, up to date, relevant, and based on a consistent data foundation

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DEFINITION

Dashboard definition

A dashboard is a visual user interface that presents important KPIs, data, and information in a compact and clearly structured format. The purpose of a dashboard is to make complex information easy to grasp and support well-founded decisions. Typically, data is presented in the form of charts or tables that are automatically consolidated from different sources.

Dashboards are also often referred to as management cockpits or KPI cockpits because, much like an aircraft cockpit, they bring together various instruments and provide an overview of the company’s “state.” In business intelligence (BI), BI dashboards serve as monitoring and analysis interfaces for monitoring performance indicators in real time, identifying trends, and quickly detecting variances.

„With the dashboard in DeltaMaster, we immediately see variances against plan and the prior year and can navigate directly to the cause via drill-down, without switching between systems. This has noticeably accelerated our monthly closing.“
Head of Controlling
Industrial company
BACKGROUND

What does a good dashboard look like? – Dashboard requirements

A good dashboard does more than present data clearly and unambiguously: it makes the meaning of the data immediately apparent and thereby enables fast decisions. To meet this standard, a dashboard should fulfill certain requirements:

  • Clarity: Clear structure, logical organization, and visual hierarchy for a quick overview.
  • Relevance: Only the most important KPIs, tailored to the target audience and use case.
  • Interactivity: Filters, drill-downs, and flexible views to enable detailed analyses.
  • Timeliness: Automatic data updates in real time or at short, regular intervals.
  • Visual design: Consistent use of colors and symbols, with a reduced presentation free of unnecessary distractions.
  • Usability: Intuitive operation, short loading times, and responsive design for different devices.
  • Consistency: A consistent data foundation and defined calculation logic to ensure comparability and build trust.

DeltaMaster follows these core principles of data visualization, for example through a two-color logic and typographically scaled numbers, and uses automated data integration to provide consistent and up-to-date data.

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EXAMPLES

What types of dashboards are there? – Dashboard examples

Dashboards can be divided into different categories. They differ primarily in the information they prepare and the KPIs they focus on. Typical dashboard types include:

Dashboard typeContent and purpose
KPI dashboardsVisualize the most important performance indicators and show progress toward business objectives at a glance.
Management dashboardsProvide executives with a strategic overview of key business data, often at an aggregated level.
Operational dashboardsSupport day-to-day operations and provide real-time information, for example on processes in production, logistics, or service.
Project dashboardsTrack schedules, budgets, and task status to provide a transparent view of project progress.
Function-specific dashboardsFor example, marketing dashboards, sales dashboards, or finance dashboards.
Industry-specific dashboardsIn areas such as healthcare and retail or e-commerce, they help present industry-specific KPIs such as patient numbers, inventory levels, or revenue trends in a clear format.
COMPARISON

Reporting and dashboards: differences and relationship

Dashboards and reporting are key components of the Business Intelligence environment. Both aim to make data accessible and usable, but they differ in structure, level of detail, and application. The key similarities and differences are summarized below:

FeatureDashboardReport
PresentationVisual: charts, KPIs, graphicsTabular, text-oriented
PurposeCondensed overview at a glanceDetailed analysis of a clearly defined subject
InteractivityHigh: filters, drill-down, flexible viewsMore static, fixed layout
Time horizonCurrent data, often in real timePeriodic retrospective views (monthly, quarterly)
Target audienceManagers and decision-makers under time pressureStakeholders requiring documentation

In summary, the two tools complement each other and together provide a comprehensive data foundation for controlling. Reporting dashboards can serve as a starting point for more detailed reports. The reports provide deeper levels of analysis to which the reporting dashboard directs users.

The people shown were generated with artificial intelligence and are fictitious.

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REQUIREMENTS

What does a company need for a good dashboard?

A meaningful dashboard is not created by visualization alone. The following prerequisites are crucial for successful implementation.

Integrated data sources

Data from ERP, CRM and other systems must be merged automatically. This avoids error-prone manual processes and ensures up-to-date information.

Consistent data basis

A uniform calculation logic and defined KPIs create comparability and trust. Only then do dashboards provide a reliable basis for decisions.

Relevant KPIs

The selection of the KPIs displayed must fit the target audience and the use case. Fewer but relevant pieces of information increase the significance.

Interactivity and drill-down

Filters and navigation options allow you to switch from the overview to detailed analysis. The dashboard thus becomes the entry point for structured analyses.

Well-conceived visual design

A consistent language of colors and symbols as well as a reduced presentation make the meaning of the data immediately tangible. Distractions are avoided.

EXAMPLES

Use cases: where are dashboards used?

Dashboards are used wherever KPIs need to be grasped quickly and decisions need to be made on a data-driven basis. The following examples show typical areas of application in companies.

Controlling

In controlling, dashboards consolidate revenue, contribution margin and variances against plan and the previous year. This speeds up the monthly closing and allows management decisions to be made on a consistent data basis.

Sales

Sales dashboards show revenue development, incoming orders and target achievement by region or product line. Variances become visible before they jeopardize overall success.

Production and logistics

Operational dashboards provide real-time information on throughput times, inventories and capacity utilization. Teams identify bottlenecks early on and can manage ongoing operations in a targeted manner.

Management

Management dashboards give executives a condensed, strategic overview of key business data. They enable fast decisions even under time pressure.

Marketing

Marketing dashboards track campaign performance, reach and budget usage. This makes it possible to assess the success of individual measures and deploy the budget in a targeted way.

Where would you like to use dashboards?

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Practical example: controlling dashboard with Bissantz

A company with several sales regions and product lines wants to accelerate its monthly management process. Until now, data from ERP and CRM systems has been manually consolidated in Excel spreadsheets – an error-prone and time-consuming process that delays month-end closing.

With DeltaMaster by Bissantz, an integrated BI dashboard is created that automatically consolidates data from all relevant sources and prepares it consistently. Key performance indicators – revenue, contribution margin, variance from plan and prior year – are presented in graphical tables with embedded sparklines: trends are visible at a glance, while outliers are immediately highlighted through the two-color logic.

The executive can see at a glance which region or product group deviates from plan and can navigate to the underlying cause in just a few clicks using drill-downs or natural-language queries, without having to switch between systems. What used to take hours can now be done in minutes: the dashboard is not an endpoint, but the starting point for structured analysis.

FunctionBenefit
Automatic data integration consistently merges data from ERP, CRM and other sources
Graphical tables with sparklines make trends recognizable at a glance
Two-color logic immediately highlights outliers and variances
Drill-down and language queries lead to the cause of a variance in just a few steps
Typographically scaled numbers weight values visually according to their importance
„The automatic consolidation of ERP and CRM data has replaced the error-prone work in Excel. Our managers can tell at a glance which region is deviating from plan.“
Head of IT
Retail company
FAQ

Frequently asked questions

What is a dashboard in simple terms?

A dashboard is like a car’s dashboard: at a glance, you can see the most important values – speed, fuel level, and warning lights. In a company, a dashboard shows the most important KPIs so that executives can immediately see where everything is on track – and where action is required.

How many KPIs should a dashboard contain?

Less is more. An effective dashboard focuses on the 5–10 KPIs that are genuinely relevant to decision-making. Too many KPIs lead to information overload – users see everything but understand nothing. Selecting the right KPIs is more important than presenting all of them.

What makes a dashboard good?

A good dashboard answers the right question for the right target audience – immediately and without explanation. It should not require a legend, accompanying text, or training. Clarity, consistency of the data foundation, and a clear visual hierarchy are more important than elaborate design.

When should you use a dashboard – and when a report?

A dashboard is suitable for continuous monitoring and quick status overviews. A report is useful when a subject needs to be documented, explained, or prepared for external stakeholders. In practice, a dashboard can lead to a report: anomalies identified in the dashboard can be analyzed in the report.

How does Bissantz support dashboard creation?

DeltaMaster by Bissantz combines automated data integration with intelligent visualization: KPIs are calculated consistently, variances are automatically highlighted, and trends are immediately visible through embedded sparklines. Controllers receive a dashboard that not only shows what is happening but also immediately indicates where action is required.

SUMMARY

Summary

A dashboard is far more than an attractive visualization: it is a central management tool for data-driven decisions – in controlling, management, and operational teams. Good dashboards are relevant, consistent, and tailored to the needs of their target audience. With DeltaMaster, Bissantz offers a platform that automatically builds dashboards from integrated data sources, intelligently highlights variances, and provides seamless access to more in-depth analyses.

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