How to create a report in Tableau?

Here’s how you can create a scatter plot in Tableau:

• Open Tableau & Load Data
• Select Measures for Axes
• Convert to Scatter Plot
• Add Details & Trend Lines
• Customize & Format

Here’s how you can create a treemap in Tableau:

• Prepare Your Data
• Create a Treemap
• Customize the Treemap
• Enhance Visualization

Steps to Create a Heatmap in Tableau

• Open Tableau and connect to your dataset.
• Drag a Dimension to Columns (e.g., 'Region').
• Drag another Dimension to Rows (e.g., 'Product Category').
• Select 'Square' as the Mark Type to create a grid-like structure.
• Drag a Measure to the Color Shelf (e.g., 'Sales' or 'Profit') to apply color intensity.
• Adjust the Color Palette to highlight variations (e.g., Red-Black Diverging for profit/loss).
• Drag a Measure to the Size Shelf (optional) to adjust box sizes based on values.
• Fine-Tune Borders & Labels for better readability.

You should monitor KPIs that demonstrate quicker operations, fewer manual interventions, and consistent compliance performance in order to demonstrate that an NSDL upgrade (such as a new API, compliance rule, or transaction processing system) increased team productivity without raising risk. When it comes to productivity, if the upgrade improved your workflows, you should see a decrease in average processing time per transaction, manual reconciliation effort, and turnaround time for account or document adjustments. You can also track automation coverage (like percentage of NSDL-related operations now handled via scripts or APIs instead of manual uploads) and support ticket volume for data mismatches or delays — a downward trend means smoother processes.
On the risk side, focus on transaction error rate, compliance breach incidents, data rejection rates, and system uptime. If the update didn’t introduce new inconsistencies, downtime, or compliance issues, your risk posture is intact. You can even monitor audit exception counts and rollback frequency to confirm operational stability.
In short, if your team is processing NSDL tasks faster, making fewer manual corrections, and seeing no uptick in errors or compliance red flags, that’s solid evidence the update boosted productivity without adding risk — a clear win for both efficiency and reliability.

You should monitor KPIs that show system stability and deployment efficiency in order to demonstrate that a FluxCD update increased team productivity without creating new hazards. Measures like as deployment frequency, mean time to deploy (MTTD), and human intervention rate should all increase if the FluxCD update improved the efficiency of GitOps procedures. DevOps teams and developers experienced less friction as a result of the update when there were fewer instances of configuration drift and time spent troubleshooting sync issues.
For the risk side, focus on failed deployments, rollback frequency, cluster health metrics, and time to recovery (MTTR). Also monitor Flux reconciliation latency (how quickly the cluster reaches the desired state) and Git-to-cluster consistency rates. A stable update should maintain or improve these without increasing error counts or drift.
If, after the update, your team can deploy more often with fewer manual fixes, and your cluster metrics show steady or improved uptime and compliance, that’s solid evidence the FluxCD update actually boosted productivity without compromising reliability. In short, faster, cleaner deploys and stable environments = a successful update.