Best Cloud Based Business Intelligence Software in 2025

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.

When trying to show that a Metabase update actually improved team productivity without presenting new hazards, you should keep an eye on a number of usage metrics, time-to-insight, and data reliability signals. Start with adoption KPIs, like the growth in the number of dashboards that are presently active, saved queries, or scheduled reports each week, as higher engagement usually means that the update made analytics easier or faster to use. Quantify the gains in query performance to show how the updated activities have accelerated. By examining mean time to decision—basically, the time it takes to receive a response to a query—you can determine whether productivity declined following the update.
Keep an eye on data refresh issues, query failure rates, and permission anomalies (such as authorization mismatches or unauthorized access attempts) from a risk perspective. Additionally, monitor the volume of bug tickets or rollbacks, as a reliable update should lower those. The best indication that the update increased productivity without increasing operational or data risk is if your analysts or business teams are spending more time acting on the data and less time waiting on it, and if your system logs indicate fewer crashes or errors.

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.

To train support teams for Power BI-related tickets, conduct pre-launch training on common user issues like licensing, access, and report/dashboard usage, focusing on the Viewer role and workspace permissions. Supplement this with hands-on training using sample reports and teach them how to use available Power BI support resources, such as the in-app help pane, to find answers and create support tickets.