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A Complete Dashboard Development Guide and Checklist 2022- BI Essentials

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The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – swift, simple, and accessible to today’s forward-thinking businesses.

There are certain dashboard design best practices you should follow to display your data in the best way, making it easy to analyze and actionable. A poorly designed dashboard could fail to convey useful information and insights and even make the data less comprehensible than it was originally.

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Need idea on best Courses to do this Quarantine ? Read here

Table of Contents

What is a Dashboard?

At its simplest, a dashboard is a screen in your application that displays information. Normally, a dashboard provides the user a global overview, with access to the most important data, functions and controls. In reality, a dashboard often becomes a sort of homepage, especially for power users.

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance while generating actionable insights.

We call them dashboards because, just like in a car, they’re meant to show us critical, pertinent data at a glance. But how do we establish what’s relevant enough to show in a dashboard? Think about how it’s done in a car. The car’s dashboard is used to show the driver information relevant to the task of driving the car – speed, distance covered, engine revs, remaining fuel and warnings when something isn’t working properly.

We don’t expect a car dashboard to display information about the news, local places of interest or upcoming appointments because however interesting this information is, it’s not relevant.

Further read what Wikipedia has to say about Dashboards.

Top Business Intelligence Dashboard vendors

Major vendors of modern analytics and BI platforms — all of which include BI dashboards in their product lineups — include Tableau, Microsoft, Qlik, MicroStrategy, Sisense, Salesforce, SAS, SAP, Tibco and IBM. Some vendors — notably Tableau and Microsoft, with its Power BI platform — provide various levels of product licensing, including options in which users can get a view-only license that doesn’t include its own analytics capability, but relies on analytics applications from third parties.

What makes a good dashboard?

An effective data dashboard should be striking yet visually balanced, savvy yet straightforward, accessible, user-friendly, and tailored to your goals as well as your audience. All of the above dashboard design tips form a water-tight process that will help you produce visualizations that will enhance your data analysis efforts exponentially.

Every dashboard you create should exist for a focused user group with the specific aim of helping users tap into business decision-making processes and transform digital insights into positive strategic actions.

Information is only valuable when it is directly actionable.  Based on this principle, it’s critical that the end-user can employ the information served up by a dashboard to enhance their personal goals, roles, and activities within the business.

By only using the best and most balanced dashboard design principles, you’ll ensure that everyone within your organization can identify key information with ease, which will accelerate the growth, development, and evolution of your business. That means a bigger audience, a greater reach, and more profits – the key ingredients of a successful business.

A good BI dashboard design is one that:

Why Dashboards are Important ?

A well-designed business intelligence dashboard acts as a snapshot of the management, providing a high-level view of the business, department, or a specific process without entangling the user in a mesh of numbers and figures. By engaging the full power of visual perception, they communicate a dense collection of facts efficiently and with exceptional clarity.

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Best Books on Dashboard Development

The Big Book of Dashboards: Visualizing Your Data Using Real–World

The definitive reference book with real-world solutions you won’t find anywhere else The Big Book of Dashboards presents a comprehensive reference for those tasked with building or overseeing the development of business dashboards.

Comprising dozens of examples that address different industries and departments (healthcare, transportation, finance, human resources, marketing, customer service, sports, etc.) and different platforms (print, desktop, tablet, smartphone, and conference room display) The Big Book of Dashboards is the only book that matches great dashboards with real-world business scenarios. By organizing the book based on these scenarios and offering practical and effective visualization examples, The Big Book of Dashboards will be the trusted resource that you open when you need to build an effective business dashboard. 

Pro Power BI Desktop: Self-Service Analytics and Data Visualization for the Power User

Pro Power BI Desktop shows you how to use source data to produce stunning dashboards and compelling reports that you mold into a data narrative to seize your audience’s attention. Slice and dice the data with remarkable ease and then add metrics and KPIs to project the insights that create your competitive advantage. Convert raw data into clear, accurate, and interactive information with Microsoft’s free self-service BI tool.

This book shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced. You will be able to deliver those results on PCs, tablets, and smartphones, as well as share results via the cloud. The book helps you save time by preparing the underlying data correctly without needing an IT department to prepare it for you. 

Hands-On Dashboard Development with QlikView

A step-by-step approach to building stunning dashboards with QlikView Key Features Perform effective storytelling through interactive dashboards built with QlikView Create different types of visualizations from a variety of data sources Includes tips, tricks, and best practices to perform effective Business Intelligence using QlikView Book DescriptionQlikView is one of the market leaders when it comes to building effective Business Intelligence solutions.

This book will show how you can leverage its power to build your own dashboards to tell your own data story. The book starts with showing you how to connect your data to QlikView and create your own QlikView application. 

Dashboards for Excel 

This book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems.

Throughout the book, the reader is challenged to think about Excel and data analytics differently―that is, to think outside the cell. This book shows you how to create dashboards in Excel quickly and effectively.

What are the Types of Dashboards?

Operational Dashboards

Operational dashboards are used to show your user their current status in your app. Use operational dashboards to display critical information that’s time relevant. For example, in a web analytics application, the operational dashboard could include information like: active users on site, top social referrals and pageviews per minute.
A classic example is the Google Analytics Real-time dashboard.

Analytical Dashboards

Analytical dashboards are used to present key data sets to the user, always reflected against previous performance. They should be data-centric, and show as many relevant data views as is feasible.

Analytical dashboards should lead with key account data front and center, and should minimize graphical elements. They serve as a barometer of the user’s status in your application, and make it easier for a user to spot problems.

Strategic Dashboards

Strategic dashboards are used to indicate performance against a set of key performance indicators (KPIs). A strategic dashboard should reflect how your user is performing against their strategic goals… and not much else.

Platform dashboards

Platform dashboards are used to give a user access to controls, tools and analytics related to their account on a social platform. The YouTube Studio Dashboard is a good example. A simple initial view shows the user’s latest videos, with some stats for each.

Time-in-app dashboards

A popular new trend in mobile apps is to give the user information about how much time they’re spending in each app. If you’re working on a new social app, you’ll want to include this kind of dashboard. The idea is to help users to see if they’re spending too much time on their device.

Instagram’s Your activity dashboard is fairly typical. It’s very basic, leading with the user’s average daily time in the app, with a bar chart showing how daily time in app has changed over the last week.

Questions to ask before building a Dashboard

Main Dashboard design Principles

Decide what your users need from your dashboard

The first step is to know your audience. Once you’ve learned your user personas through, you should be able to answer the key question: what will my users expect from this dashboard?

Responsive dashboards hand power to the user

Adding a responsive design to a dashboard allows the user to decide which data they want to focus on. The key to a good responsive design is a clear, easily understood UI which allows the user to control exactly which data needs to be front and center in the dashboard.

 Great dashboards lead with key data

We love dashboards that cut out the bunk and lead with big, bold numbers. A dashboard like this communicates confidence and decisiveness.

Use information architecture for great dashboard design

When you design your dashboard, consider the principles of information architecture and hierarchy when you decide which cards to show and in which positions.

Remember the F and Z patterns that reflect how a user’s eye scans a page? Apply that logic to the structure and order of elements on your dashboard. Lead with the absolute top must-have takeaway, and let your dashboard flow from there.

Use different views to keep things light

We like dashboards that use different views to keep the main view as simple as possible. 

Use consistent design language and color scheme

Just because dashboards often include data views, that doesn’t mean they can’t look drop dead gorgeous. By keeping things light and airy, with prudent use of color, this publisher dashboard delivers clear visibility, simple navigation and striking good looks.

Components of a Business Dashboard

Data Sources

The fuel for business dashboards is data, so each one needs to have one or more data sources. Without data, the dashboard will not show the user anything. Data can be connected through an API, flat file, or database. Once data flows into the interface, the dashboard will come to life. A sales team might use a business dashboard to connect data from their customer relationship management system (CRM) and their website to gain insight into what products prospects are interested in.

Data Visualizations

Visualizations enable users to gain insights from data more quickly than flat files or tables. This is because visualizations summarize the aggregate data and the human brain processes images faster than lists of words and numbers. Examples include bar graphs, pie charts, and line graphs. In this way, digital visualizations are just like automobile dashboards, which use data visualizations in the form of speedometers and fuel gauges.

Filters

Many dashboards include an element of interactivity so users can explore data sets as needed. This process is often called data discovery or self-service analytics. Filters can include date ranges, data sources, geographic regions, departments, or product SKUs.

KPIs

Key performance indicators are the metrics most important to users. These are represented in dashboards either as a part of visualizations or tables. Common KPIs include revenue, cost, number of sales, profit margin, and profit. They can be segmented for more granular insight using a filter or toggle.

Navigation Menu

Most modern analytics platforms include a navigation menu to allow users to move from dashboard to dashboard. Menus make it possible to visualize many different aspects of data for different audiences and are a great fit for enterprise organizations.

Dashboard Design Best Practices

Involve Users in Each Phase of Development

Involve users in the planning phase of the business dashboard to ensure detailed requirements are collected from the internal stakeholders who use it. The dashboard will miss the mark entirely if it is developed without feedback throughout its design and development, as many assumptions can be made. This could result in many iterations of the dashboard to get it to work optimally. An agile approach with continuous feedback is the most effective way to approach each dashboard project. In the discovery phase, developers may find multiple dashboards need to be created to satisfy everyone’s need. These will then need to be prioritized in a project plan and agreed upon by each stakeholder.

Define Dashboard Objectives

The planning and design phases should be driven by concrete objectives from each stakeholder. For example, the sales department may say they want to see a high-level dashboard with the ability to drill down to specific regions and product SKUs. This type of dashboard is meant to serve sales leaders and executives, so they can see the most successful products and highest performing salespeople in each region. Company resources can then be deployed accordingly to push marketing dollars in a lagging region or to shift messaging to align with demand in a particular region.

Customize Views

Each stakeholder should have their own segmented view of a dashboard that aligns with their specific goals. For example, it would not be helpful for a financial department to look at ad copy performance data for the marketing department. These requirements will be uncovered in the planning phase. Platforms capable of including more than one dashboard are ideal because they can serve multiple audiences. MicroStrategy’s Dossiers are enterprise-grade business dashboards that can satisfy this need. One dashboard can rarely please all stakeholders, so separate customized dashboards for each stakeholder group may be ideal.

Emphasize Data in Order of Importance

In the requirements-gathering and planning phase, project managers should determine what the most important KPIs are for each stakeholder group. These should be placed to the left above the fold, as this is where a user’s gaze naturally lands.

Use Filters

By adding filters for business dashboard visualizations, users can simplify how they display data. This allows users to quickly isolate relevant insights and avoid pulling unnecessary data that can bog down performance. Filters are an important aspect of self-service data discovery that allow users to interact with datasets in visually. Filters enable users to slice and dice data to find new patterns within the business.

Ensure Accuracy

Without accurate data, a business dashboard will be useless. In fact, it can be detrimental to the business, because misguided decisions will be made. Therefore, accurate data is critical to the success of a business dashboard. Data should be checked for accuracy at each step of the implementation phase, starting with the initial design phase. First, check each data source to ensure the data is accurate before uploading it to the business dashboard. It also needs to be checked once the data is cleaned or transformed and is a best practice for any extract, transform, load process (ETL). When the dashboard is complete, the data should be checked by each stakeholder and periodically examined for accuracy throughout its lifecycle.

Allow Users to Drill Down

The best dashboards present users with a high-level view of the data and allow them to select data segments to drill down for further detail. For example, a sales analytics dashboard might show deals by region, and a user could drill down to see which products sold best in each region and which salespeople performed the best. It’s also important to only include the most relevant data for each view so the dashboard isn’t cluttered. This top-down approach is intuitive and should be incorporated for advanced functionality.

Choose the Best Visualizations

Always make sure to use the best data visualizations for each KPI. Common types include:
Line graphs
Bar charts
Pie charts
Tree maps
Histograms
Box plots
Heatmaps

For example, line graphs are best when the user wants to see time series analysis, and bar graphs are useful when the user wants to compare different groups of datasets against similar metrics. Always be mindful of which visualization is best to present each KPI. User acceptance testing will confirm what users prefer in each scenario.

Minimize Colorization

Businesses should recognize that dashboards using too much color can negatively affect readability. In the case of business dashboards, complex visualizations can involve more colors, but overall use of colors should be minimized as much as possible. A good rule of thumb is to use different hues of the same color for most of the dashboard, along with a one or two others to emphasize key points. This keeps the experience less jarring for users.

Dashboard design Standards & Guidelines

Focus on Usability

Filters | Navigations

Visualizations

Visualization Design Tips

Label your charts & graphs intuitively

Call out or highlight important information

When you presenting your data visualization to an audience, make the analysis easy for them. Call our important info by using an Annotation (in contrasting color)

Utilize Consistent & attractive color schemes

Order your data set logically

The way you order data really matters. Always sort your bar graphs in Pareto (larger value from left to right) unless it’s a time trend graph.
Apply your judgement as sometime it’s make sense to align dimension without sorting in Pareto.

Stay away from 3D charts

As the visualization tilts, it gives user a skewed view of what data actually means. If you look at each area section takes up the screen, you will see why it’s easy to mis-interpret the 3D graphs.

Choose appropriate data ranges

Range can make the visualization really misleading if we use inconsistent ranges. Enable fairly even distribution of data and use +/- signs to extend high & low ranges.

Line Chart: Use Solid line & right height

Use the right height so the lines take up roughly 2/3 of the y axis’ height. Use Markers & solid lines for better readability.

Waterfall Chart

Dual Axis

Area Chart

Choose the Right Graphs

Lets study each one separately –

Dashboard Publishing Checklist

Conclusion

A well-designed dashboard is a powerful launch point for data-driven conversations. Armed with the same collection of information, your business makes faster decisions based on a single source of truth.

Dashboards need to communicate the most important information for the user, in a simple, easy to understand screen. They should be structured to reflect a logical information hierarchy, providing the user ways to drill down into the data when necessary.

Above all, they should save the user time. Thanks to latest BI Tools, creating an excellent dashboard design is easy and fun !

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