Core Blog Author

Scott Hietpas

Scott has over 20 years of experience designing and developing data solutions to help organizations make data-driven decisions. As a skilled architect, Scott has designed and implemented enterprise data warehouse solutions and modern cloud-based solutions leveraging various Azure services.

Artificial Intelligence

A Guide to Preparing Organizational Data for AI

The future of your business may hinge on how AI-ready your data truly is. In this blog, we explain how to prepare your data for machine learning (ML) models - which are essential to AI implementation.
journey of a data-driven organization blog feature
Data Analytics

The Journey (and Value) of a Data-Driven Organization

Becoming a data-driven organization is crucial for digital innovation. It offers scalability, cost reduction, and improved user experiences that drive business growth.
data accessibility blog feature
Data Analytics

The Power of Data Accessibility for Modern Businesses

Data accessibility is vital in today’s businesses, but varied data skills among team members can pose challenges. In this article, we explain how to build an accessible data culture.
machine learning foundation
Data Analytics

Machine Learning Requires a Strong Data Foundation

Machine learning isn't a magic wand. It’s a tool that requires a strong data foundation. Here's how to build that foundation so you can get to machine learning.
Getting started
Data Analytics

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?
Ice formation in water
Application Modernization

The Advantages of Using Tabular Editor for Tabular Model Development

We demonstrate how Tabular Editor solves some specific development challenges that show up when developers collaborate on tabular models in Visual Studio.
Data Analytics

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.
Fork in road
Data Analytics

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.
warehouse on lake
Data Analytics

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.
Featured Content
Subscribe to our Newsletter

Stay informed on the latest technology news and trends