This article provides a comprehensive guide on building an investment banking dashboard from scratch. It includes templates, use cases, and best practices to create effective dashboards tailored for investment banking professionals.
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An investment banking dashboard presents essential information visually through charts, graphs, and tables. It includes:
The dashboard lets bankers see what is happening, understand problems early, and make decisions faster.
See it in action
Investment Banking
An effective investment banking dashboard provides a clear and actionable business view. It relies on three core components: key metrics, interactivity, and customization.
The dashboard should display key performance indicators to measure the bank's health and progress. These include:
A static dashboard is of limited value. A dashboard must allow users to identify trends and answer specific questions to unlock its full potential. This includes:
The dashboard should be flexible to meet the diverse needs of different users. This involves:
Customizing the dashboard makes it valuable for frontline staff or top management.
Related Read:
The first thing to do is figure out who will use the dashboard.
This could include deal teams, senior management, and analysts. Understand their roles, responsibilities, and information needs. Conduct interviews or surveys to gather their inputs.
Clearly outline what the dashboard should achieve. Is it for deal tracking, performance monitoring, or strategic planning? Identify KPIs, such as average deal size, deal win rate, revenue, and profitability, to measure success.
Gather relevant data from various sources, including CRM, databases, and financial systems. Ensure data quality and consistency. Cleanse and transform data into a format suitable for analysis.
When choosing a dashboarding tool for your banking needs, make sure it fits with your technical capabilities, budget, and user-friendliness.
Don't forget to consider its ease of use, data connectivity, available visual options, and collaboration features.
DataBrain can handle large datasets, integrate with various popular databases (MongoDB, Redshift), and provide advanced analytics, making it a strong choice for investment banking users.
1. Create a clear and intuitive dashboard layout.
2. Group related information together.
3. Use a consistent visual hierarchy.
4. Prioritize essential metrics.
5. Provide clear labels.
- Choosing the right visualizations—such as charts, graphs, and tables—to represent your data effectively
- Using colors and formatting to improve readability
Test the dashboard with end users to gather feedback.
Make necessary adjustments to improve usability and accuracy. Monitor the dashboard and make changes required to fit the growing business needs and data availability.
This metric shows how much profit a company makes from shareholders' investments.
ROE = Net income/shareholders' equity
If a company makes $100,000 in net income and its shareholders have equity of $500,000, its ROE would be:
ROE = $100,000/$500,000 = 0.2 or 20%
This means the company made a 20% return on the shareholder's money.
How does ROE help in investment banking?
Revenue distribution across four divisions of a company: Trading, Asset Management, Advisory, and Investment Banking.
Implications for investment banking:
This chart visually represents the revenue mix within a financial institution. For investment banking, it offers several insights:
This chart offers a high-level overview of the firm's revenue composition, crucial for making informed business decisions in investment banking. You can check out this investment banking dashboard in real time.
See it in action
Investment Banking
Several key shifts are molding the sector’s future:
Take advantage of DataBrain's powerful platform to create a customized investment banking dashboard that meets your needs.
Book a demo to see how easy it is to build an investment banking dashboard live within minutes.