Data Analytics

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How API Integrations Can Give Your Business One Source of Truth

As a business grows, so does its IT stack and the amount of managed applications. But APIs can create an organized, flexible, and expandable technology system.

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Cloud Data Storage Architecture: Pros and Cons

Is the cloud the right choice to handle your data? We break down its pros and cons to help you make the best data storage choice for your organization.

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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.

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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.

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Machine Monitoring IoT Solution with Azure Services and Power BI

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.

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10 KPIs Manufacturers Should Track for Operational Excellence

Knowing what to measure is key, but where should a manufacturer begin, especially in operations? The best place to start is with your strategic business goals.

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A Look at Power BI as a Business Intelligence System: Power Query M

Here is a high-level view of Power BI and its ETL part that is behind the External Data Section that makes it a “kitchen sink” Business Intelligence system.

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How to Protect PHI Data by Limiting External Access to Power BI

In this walkthrough, we demonstrate how a health provider can restrict the sensitive data in their Power BI service environment to only their trusted network.

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Data Granularity & the Power BI Google Analytics Connector

The Google Analytics connector for Power BI lets you to build a dataset consuming data from your GA solution, but it comes with unique challenges and solutions.

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12 Questions to Elicit Business Intelligence Requirements

There are differences between gathering reporting requirements & software development requirements. You have to focus on what the business wants to know not do.

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