How to Create a Self-Service Report from the Homepage (Excel/CSV)
Transform an Excel/CSV file into a polished Self-Service Report—all starting from the Homepage. You’ll upload the file, clean it with AutoPrep, create a Data Store, and then design insights with charts, filters, drill-downs, and KPIs.
Prerequisites:
Access to the Homepage, Self Service Report module, and permission to create/save reports.
A local Excel/CSV file is ready to upload.
Phase 1 — Start a Report & Upload the File
On the Homepage, click Create → Create Report.
Enter a Report Name (and optional description).
Choose your Excel/CSV file from your machine.
Assign a Data Store Name for the uploaded file and upload.
Phase 2 — Prepare Data & Create the Data Store
When the dataset opens in a grid view (rows/columns), click AutoPre.
Use AutoPrep to remove anomalies—delete invalid or empty rows.
Click Save to persist the cleaned data.
A notification confirms that Data Store creation has started.
Click Create Report to proceed to the Report Design page.
Phase 3 — Get Oriented on the Design Page
Left pane: the created Data Store with Dimensions and Measures.
Right pane: Save button, Charting Library, Filters, Chart Interactions, Datastore list, and Create Calculated Fields.
Phase 4 — Build the Views
Create a KPI / First Chart
Use the left pane to search for Gender, get a count, and plot a chart.
Customize: bar size, remove precision values, and set a Display Name for Gender.
Add a Chart Title (header), Save View, align the chart, and Save Report.
Click Create a New View.
Tree Map — Monthly Salary by Team
New view: select Tree Map.
Bind Monthly Salary (measure) and Team (dimension).
Enable Gradient for visual impact.
Set Display Name for Monthly Salary and a Header Title → Save View and align.
Bubble — Experience vs Team
New view: choose Bubble Chart.
Bind Experience (measure) and Team (dimension).
Set Precision = 0; assign Display Name for Experience.
Add a Title, Save View, and align.
Data Grid — Candidate Details
New view: select Data Grid.
Add dimensions Name, Previous Organization; measure Previous CTC.
Customize columns: ascending order for Name, update Display Names, adjust background color, font size, and font weight.
Title View Candidate Details → Save View.
Phase 5 — Enhance with Filters, Drill-Down, Themes & Exports
Filters
Add a Gender filter (e.g., Male) to view Previous CTC, Offered CTC, and Monthly Salary for male candidates.
Reset the filter to return to the full dataset.
Drill-Down (Expected Joining Date)
Use the Expected Joining Date as a time dimension in a chart.
Drill down across specific date ranges: double-click the view, select a bar, choose Drill Through, then pick a month to see detailed dates.
Interactions
In the right pane, go to Edit → Interaction.
Enable Interactions and select the chart(s) to link.
Example: Click a Skill to update the Total Offered CTC by Team chart.
Save the view.
Timeline Play (Optional Dynamic Analysis)
Right pane → Analyse → Timeline Play.
Choose the time dimension, set Interval = Monthly, pick Start/End dates, set Delay, and Start to animate changes over time.
Theme
Apply a Visualization Theme to standardize colors and typography across the report.
Export
Export the final report in supported formats for sharing/consumption.
Outcome
You’ve created a complete Self Service Report directly from the Homepage, turning raw Excel/CSV data into clean, visually compelling insights—with filters, drill-downs, interactions, KPIs, and exportable views.
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