How to create a dashboard in Looker Studio?

Here’s how you can create a gauge chart in Looker Studio:

• Add a Gauge Chart
• Configure Data Source
• Customize the Chart
• Apply Filters & Styling

The best way to reliably deploy these notifications and related features across engaged users in regions around the world is to create separate Metabase notification templates (for Slack or email alerts) for each supported language, one in English, one in Spanish, etc. and have each user routed to that version based on their resident language. You can keep track of that language in the identity provider (such as Okta, or Azure AD) you already have in use to manage the user context for your dashboard. You can maintain language preferences in your internal user DB, or even as group tags in Metabase if your teams are distributed in regions. From there, wherever possible just use your delivery option and send the appropriate localized message (SMTP, slack webhook, or API automation).

To track license utilization and right-size costs in Power BI, you can use the built-in Usage Metrics Reports, the Microsoft 365 Usage Analytics reports, and create a custom report from the Admin Monitoring workspace. These reports help identify which users are actively using Power BI and which licenses might be underutilized.

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.