How Are Asset Managers Using Data Analytics? How Are Asset Managers Using Data Analytics? Trends to Watch in Data Analytics Why Data Analytics Initiatives Fail in Asset Management Today’s macro ...

Data analytics is an advanced technology method that companies all over the world use to look at data and turn it into usable information. It is an important tool that drives growth and progress in ...

Dubai Roads and Transport Authority (RTA) has launched a Transport Data Analysis Laboratory at its Enterprise Command and Control Centre (EC3), strengthening Dubai’s capabilities in data-driven ...

The phrases “data-driven” and “data-informed” have quickly become business buzzwords as the rate at which we can collect and analyze data continues to increase exponentially. But how should business ...

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, ...

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can help ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Payment reform has been sweeping through healthcare under the Patient Protection and Affordable Care Act. Bundled payment models have grown in popularity, with CMS announcing the participants of its ...

Many employers now want accounting hires to develop an analytics mindset. An analytics mindset starts with understanding the importance of analytics and data to the accounting profession, but also ...

Opinions expressed by Entrepreneur contributors are their own. Data analytics is one of the most important tools that startups can use to help them succeed. In this article, we will provide a ...

In today's world, we have access to more data than ever before. In fact, there's so much available data that the bigger challenge is often how to use the data we have and apply it to specific needs.