Metrics and KPIs are among the primary techniques for anything related to BI. If you can measure it, you can report on it. The key is picking the right ones.
Communication is critical for effective business analysis and project success. Try these tips to improve communication with your stakeholders and project team.
While it may be tempting to choose only the newer data lake format, or the tried-and-true data warehouse, both have pros and cons that we explore in this blog.
We custom-made an IoT framework with Azure components and Power BI to implement a scalable solution to source, stream and show machine performance in real-time.
As it applies to Business Intelligence, decision modeling can be used to build out the repeatable decision logic for what to show on reports and dashboards.
Microsoft recently made the transformation into Modern SharePoint easier without doing a full migration, and I’d like to highlight a few of these options.
Here’s how to use Azure Snapshot Debugger to retrieve variable info without any code changes or by adding lines of logging code that clutter business logic.
Data modeling discovers your scope, identifies gaps, and is easily understood. But it doesn’t dig into the details so it must be supplemented with other models.
Data dictionaries are great tools for any data project, but they must be maintained to continue being useful. Here’s how to get the most out of them.
APIM helps developers save time when creating an API gateway and developer portal. But it lacks some useful time-saving features for moving API operations.
React Hooks let you to reuse stateful logic and share component behavior among many components or with the community. Here’s how to use it with SPFx.
If you have many Business Rules, using this technique will help you ensure you are applying all the Business Rules to your project and across the organization.
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