Editorial

In a business landscape that prioritizes innovation, leveraging data to drive strategy has never been more important. Traditionally, Business Intelligence (BI) has been a field that relies on data collection, reporting, and analysis to deliver actionable insights to organizations. However, the

The world of work is increasingly tending toward a hybrid structure, allowing employees the flexibility to seamlessly and collaboratively across time zones. Cloud-based data and SaaS tools have emerged as a vital enabling component for remote work and have proven invaluable in enhancing scalability

When people discuss “ data analysis ,” they often reference applications involving spreadsheets, algorithms, and math, which represent the necessary skills. However, the practical analysis also encompasses strong communication abilities. Merely reporting numbers is insufficient; brands must tell a s

Augmented analytics was first named and discussed by Gartner in 2017, and it was described as the future of business intelligence (BI) as well as data extraction. As part of this approach, there is a promise of enhancing data analysis through the incorporation of AI technologies like machine

Business leaders today are expected to leverage data to guide decisions and improve efficiencies. However, more than pivoting a traditional BI approach to deliver insights rapidly enough is required. Bottlenecks arise at every turn — from request tickets for new reports to reliant developers c