Realtime vs Near-Realtime Data: Pros and Cons
What factors go into handling these data sources? How do we process them? How do we provide data visualizations based on those sources to meet business needs?
How to Jumpstart Your Data Modernization Journey
Most want to transform and modernize their data but don’t know how. Here's how to successfully guide your organization along its data modernization journey.
Data-Driven Organizations Avoid These 7 Common Pitfalls
Everyone wants to become data-driven. But, before you start modernizing your data, make sure you watch out for these common data transformation pitfalls.
Self-Service Analytics: The Pros and Cons
Self-Service analytics allows business users to start taking ownership of some of the work. This solves some businesses needs while creating other challenges.
How to Use Process Modeling to Model and Analyze BI Requirements
Process modeling is very flexible, can help you better understand current processes, and can help you document desired future states of processes.
How to Use Metrics and KPIs to Model and Analyze BI Requirements
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.
Data Lake vs Data Warehouse: Pros and Cons
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.
How to Use Decision Modeling to Model and Analyze BI Requirements
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.
How to Use Data Flow Diagrams to Model and Analyze BI Requirements
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.
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