Every ERP system generates enormous amounts of data. The real challenge is not collecting it—it’s turning that data into insights your team can actually use.
That’s exactly what this month’s Rover ERP Master Class focused on.
Instead of simply showing a finished dashboard, the session walked through how to build a practical sales dashboard from scratch in Rover BI—covering the most useful visuals, dashboard organization techniques, and upcoming AI-powered features that will make reporting even faster.
Here’s what we covered—and how it can help your team get more value from your data.
Why Practical Dashboards Matter
Many reporting challenges do not come from missing data. They come from dashboards that are difficult to build, slow to update, or hard for teams to interpret.
Common issues include:
- Dashboards that take too long to create
- Sales data scattered across multiple reports
- Overly complex tables that bury the most important metrics
- Teams struggling to drill into the numbers behind the charts
Rover BI helps solve these problems by allowing users to combine datasets, visuals, and drill-down tools in one dashboard—giving teams visibility from high-level metrics all the way down to individual transactions.
In this session, we demonstrated how to build a Sales Activity Dashboard designed to track performance from the top of the funnel to the final order.
Start with the Right Data
Every dashboard begins with selecting the datasets that will power the visuals.
For the example dashboard, we used three datasets:
- Activity Logs for tracking interactions with prospects and customers
- Quotes for measuring sales pipeline activity
- Sales Orders for tracking completed transaction
This structure gives a sales team visibility into:
- Customer interactions
- Quotes generated
- Orders finalized
In other words, the full journey from initial contact to revenue.
Organizing Dashboards with Panels
One of the easiest ways to make dashboards easier to read is by organizing visuals into panels.
Panels act as containers for related information. In the session, the dashboard included:
- A Header Panel for branding and description
- A Sales Activity Panel for interaction data
- A Quotes Panel for pipeline metrics
- An Orders Panel for revenue reporting
This structure keeps dashboards clean and gives each section its own purpose. Panels are especially useful when dashboards grow larger and need clearer separation between topics, filters, or datasets.
Quickly Generating Visuals with Discover
Before building visuals from scratch, Rover BI offers a Discover tool that can generate quick visual suggestions based on selected fields.
Users can:
- Select a dataset
- Choose a few fields
- Let Rover BI generate possible visualizations
This feature is useful for:
- Quickly exploring data
- Discovering patterns
- Creating initial dashboard elements faster
From there, users can refine the visual or rebuild it manually as needed.
Essential Charts for Sales Dashboards
The Master Class focused on the visual types most commonly used in real-world dashboarding.
Bar Charts
Bar charts are one of the most versatile visuals in Rover BI.
In the example, we created a Top Customers by Quote Value chart by:
- Grouping data by customer
- Summing quote values
- Sorting from highest to lowest
This quickly highlights the accounts generating the most value in the pipeline.
Trend Charts
Trend charts are ideal for analyzing performance over time.
Instead of creating custom logic to group data by month or year, Rover BI can automatically aggregate time periods. Users can easily switch between:
- Monthly views
- Quarterly views
- Yearly comparisons
That makes trend charts one of the fastest ways to spot momentum, seasonality, or changes in activity.
One important reminder from the session: if a date field is stored as text instead of a date, the trend chart will not behave correctly. Proper formatting matters.
Trend Tables
For teams that prefer spreadsheet-style analysis, trend tables offer a powerful alternative.
Trend tables compare metrics across time periods such as:
- Year-to-date versus last year
- Rolling 30-day performance
- Weekly changes
These are especially useful for sales managers who want a quick view of gains or declines over time.
Highlighting KPIs with Big Number and Gauge Visuals
Dashboards often need to surface the metrics that matter most right away.
Rover BI includes two helpful KPI-style visuals:
Big Number
Displays a single key metric such as:
- Total quote value
- Total revenue
- Orders this month
Gauge
Displays progress toward a target, such as:
- Sales quota
- Revenue goal
- Production target
These visuals help users understand performance at a glance before digging deeper into supporting charts or tables.
Visualizing Sales Geography with Maps
One visual that is often underused—but extremely effective—is the map.
By mapping sales data to state or regional information, teams can see:
- Where demand is strongest
- Which regions are underperforming
- Where there may be room to expand
In the session, we mapped quote data by state to show where sales activity was concentrated. For companies with regional sales coverage, this is a powerful way to surface geographic patterns quickly.
Tables for Deeper Analysis
Charts provide summaries, but tables give users access to the detail behind the numbers.
The session covered three major table formats.
Data Grid
A spreadsheet-style view that allows users to:
- Select specific columns
- Aggregate totals
- Export data to Excel or CSV
This is ideal for operational users who need direct access to transaction-level data.
Pivot Tables
Pivot tables provide hierarchical drill-down capabilities.
For example:
- Month
- Day
- Individual orders
Users can start with a summary view and drill into individual records as needed. This makes pivot tables one of the most powerful tools for interactive analysis.
Summary Tables
Summary tables aggregate data into quick snapshots such as:
- Revenue by month
- Sales by customer
- Order totals by product
Users can click into any value to see the records behind it, making this a great hybrid between summary and detail.
The Future of Dashboard Building: Rover AI
The final portion of the Master Class introduced several upcoming features in Rover AI designed to simplify reporting and dashboard creation.
These capabilities are expected in the upcoming release and point to a much faster, more intuitive reporting experience.
Magic Reports: Build Dashboards with a Prompt
One of the most exciting new features is Magic Reports.
Instead of manually building visuals one by one, users can describe the dashboard they want in plain language.
For example:
“Create a dashboard for account executives showing sales activity, quotes, and orders.”
Rover AI can generate a dashboard with charts, KPIs, and filters based on that request. Users can then refine the output with additional prompts.
This dramatically reduces the time needed to go from idea to usable dashboard.
Expanded AI Model Support
The next release will also introduce support for multiple AI models, including:
- OpenAI
- Anthropic
- Google models
- Custom user-trained models
This added flexibility opens the door to more advanced automation and analytics workflows.
AI Assistants for Automated Analysis
Another upcoming feature is AI-powered assistants.
These assistants can:
- Analyze data on a schedule
- Run automated queries
- Trigger alerts when conditions are met
For example, an assistant could:
- Review pricing data daily
- Identify quotes below margin thresholds
- Notify sales managers when action is needed
That turns Rover BI into more than a reporting platform—it becomes a proactive monitoring and analysis tool.
One Final Thought
Dashboards should do more than display numbers.
They should help teams understand performance, identify opportunities, and make better decisions.
The tools inside Rover BI—from trend charts to pivot tables to AI-generated dashboards—are designed to help teams move from raw data to real insight faster.
And with the upcoming AI features, building those dashboards may soon be as simple as writing a prompt. Want help building your first Rover BI dashboard? Visit roverdata.com to schedule a demo and see how Rover ERP can turn operational data into actionable insight.
