Social media is ever-evolving, and what works today may not work tomorrow. By staying up-to-date on social media trends take lead.| Just Create App
If you want to help shape your organization’s digital transformation strategy, here’s an overview of AI’s role in it.| Business Insights Blog
Career Confidential columnist Starr Sackstein advises a superintendent who wants to help his administrative team align.| Kappan Online
Data storytelling is the ability to communicate insights from data using narratives and visualizations. Here’s how to effectively tell a story with data.| Business Insights Blog
Business analytics is a powerful tool for addressing the questions and challenges impacting business. Here are five skills you need to get started.| Business Insights Blog
Data science can be used to gain knowledge, write algorithms that process large amounts of information, and guide data-driven decision-making.| Business Insights Blog
How do you know if your marketing campaigns work? Here are seven key performance indicators (KPIs) to help you answer that.| Business Insights Blog
To become more data-driven, you must learn how to validate your business hypotheses. Hypothesis testing is the key.| Business Insights Blog
Data integrity is the accuracy, completeness, and quality of data as it’s maintained over time. Here’s how you can achieve data integrity.| Business Insights Blog
Are you interested in learning how to do a cost-benefit analysis so that you can make smarter business decisions? Follow our step-by-step guide.| Business Insights Blog
Learning how to communicate with data in visual formats can help you excel in your career. Here are the top data visualization tools for business.| Business Insights Blog
Not sure what the difference is between data analytics and data science? Here, we explore the most important similarities and differences you should know.| Business Insights Blog
Bad data visualization can lead to many negative outcomes, such as faulty business decisions. Here are five common visualization mistakes to avoid.| Business Insights Blog
Prescriptive analytics is the process of using data to determine an optimal course of action. Here are six examples of prescriptive analytics in action.| Business Insights Blog
Diagnostic analytics provides crucial information about why a trend or relationship occurred and is useful for data-driven decision-making.| Business Insights Blog
Descriptive analytics is the process of using data to identify trends and relationships. Here are five examples of descriptive analytics in action.| Business Insights Blog
Here’s a look at what data analytics is, examples of how it applies to healthcare, and how to build your data skills as a healthcare professional.| Business Insights Blog
Big data is transforming the way we work today. Here are nine data science skills for business professionals looking to become adept at using data.| Business Insights Blog
Learn what goes into an annual report, and how you can quickly read these valuable financial statements to learn about the performance of a company.| Business Insights Blog
Data analytics help organizations uncover trends and improve decision-making. Explore the benefits and history of data analytics.| AtScale
Surveys are a powerful source of data, but the insights they capture are only as reliable as the questions being asked. Avoid these 3 mistakes.| Business Insights Blog
Learning the most effective data visualization techniques can be the first step in becoming more data-driven and adding value to your organization.| Business Insights Blog
If you want to take your career up a notch and reach your managerial potential, here are seven effective ways to be a better manager.| Business Insights Blog
Matching gifts can transform your fundraising. Track your program's success and optimize results by monitoring key matching gift metrics.| 360MatchPro
Learning the 4 types of data analytics can enable you to draw conclusions, predictions, and actionable insights to drive impactful decision-making.| Business Insights Blog
The typical data analytics team consists of data scientists, data engineers, and data analysts. Here is a closer look at the role each plays.| Business Insights Blog