The business intelligence analyst role is highly analytical and requires a balance of IT, communication, and problem-solving skills.

Doing so will empower them to contribute to their organizations in meaningful ways. At its core, being a great data analyst means being observant, curious, resourceful and focused on creating value.

Summary Business intelligence analysts utilize data collected by a company to optimize profits and efficiency. Through the use skills in data analysis such as visualization, modeling, and analytics, ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

To get buy-in for findings, the analyst must also be a storyteller and business strategist laser-focused on delivering value. This is how AI-driven data exploration is revolutionizing the analyst ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

What is a data analyst? Data analysts work with data to help their organizations make better business decisions. Using techniques from a range of disciplines, including computer programming ...

Anyone can be a data analyst now. Here're 10 mind-blowing examples of what's possible with Code Interpreter 👇🏼 The future of data science has changed forever.

Microsoft has leveraged its deep understanding of Excel workflows and data analysis patterns to create an agent that aligns with how enterprise users actually work with data.

Julius is designed to act like a data scientist by analyzing and visualizing extensive datasets and then performing predictive modeling from natural language prompts.