In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business.

You can enter data into a Microsoft Excel sheet or run a bit of M code in Microsoft Excel Power Query when you need to create a table.

Calculated tables are helpful tools when you want to add calculated values to the model instead of calculating them on the fly.

Power BI quick measures can return a simple running total and a year-to-date total with little effort on your part.

What's the difference between data modeling and data analysis? Which is the right approach for your next project? This guide helps answer those questions.

These best practices are designed to help your data preparation initiatives in machine learning.

Here's how to create bulk rules that let you streamline and automate data quality processes in your organization.

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them.

Lenovo’s innovation in the metaverse, a study of how hybrid work affects women and tips for migrating to a new iPhone lead TechRepublic’s news this last week.

Syniti has announced Syniti Match, a rapid, precise and comprehensive solution for data matching. Learn more here.

This article gives a detailed introduction to data quality and the current status it has in healthcare.

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity.

Consumer data compliance and privacy are growing in importance. Learn how to automate compliance efforts here.

There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows.