Shanmugaraja Krishnasamy Venugopal develops an AI agent for business intelligence, using a table-less architecture to improve ...

In today’s chaotic world, professional intelligence analysts must contend with nearly endless data streams, which risk overwhelming them while also exacerbating the impact of cognitive biases. Is AI ...

AI-powered data intelligence is reshaping financial services, enabling smarter advisor targeting, compliant outreach, and growth.

Business intelligence is essential for strategic decision making in today’s organizations. Effective use of data can provide critical insights into a business's day-to-day and long-term performance.

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

The current digital-first economy is characterized by the fact that the winners are not only those who innovate or make their prices lower, but are those that are intelligent. Competitive intelligence ...

Small businesses can use AI and machine learning to structure big data and gain valuable insights. Learn how to use big data for better decision-making. Small businesses data analytics to cut costs, ...

Advanced Excel and Business Intelligence (BI) skills are essential in 2026, significantly boosting earning potential by $15,000 to $30,000 annually. Key tools to master include Power Query, Power ...

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

Businesses run on information. Organisations across industries are relying on professionals who can turn raw information into actionable insights. Two roles often at the center of this transformation ...

Pratt, S. (2026) Comparative Analysis of Business Intelligence Adoption in Ten Developing African Economies. Open Journal of Business and Management, 14, 479-500. doi: 10.4236/ojbm.2026.141028 .

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...