What is the difference between business intelligence and data analytics? Business intelligence (BI) and data analytics are frequently used interchangeably in data-driven enterprises. Though they aren’t the same, it is hard to clarify the difference. Do you know how you would answer if someone asked you to describe the distinction?

Data management enables a business process to be more efficient. The majority of contemporary organizations are aware of the value of data. This frequently means depending on the reports produced by the third-party software platforms they use daily for small firms. It is important to combine this data into a

Spotify analytics for listeners is how the popular streaming service also captures the hearts of its users. Many websites allow you to check these analytics if you have ever wanted to delve deeper into your listening habits — maybe to see which songs you listen to the most or compare

These days, branding is a highly calibrated art form. It used to be that there was a lot of guesswork. Thanks to data monitoring tools, and the many competent professionals trained to use them, those days are a thing of the past.  Data monitoring tools work by helping compile and

Artificial intelligence (AI) and data analytics are rapidly growing trends in the tech world. With increasing potential for innovation, it is paramount that we stay up to date with all the latest developments in this field. According to MarketsandMarkets, the worldwide artificial intelligence (AI) market will increase from USD 58.3 billion

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud

The world has come to rely on data. Data-driven analytics fuel marketing strategies, supply chain operations, and more, and often to impressive results. However, without careful attention to data accuracy, these analytics can steer businesses in the wrong direction. Just as data analytics can be detrimental if not executed properly,

Augmented analytics: the combination of AI and analytics is the latest innovation in data analytics. For organizations, data analysis has evolved from hiring “unicorn” data scientists – to having smart applications that provide actionable insights for decision-making in just a few clicks, thanks to AI.  Augmenting by definition means making

Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages. Digitalization and the introduction of machine learning into day-to-day business processes have

This article is part of a media partnership with Data Analytics and Behavioural Science Applied to Retail and Consumer Markets conference, an event featuring high quality case studies, networking sessions and discussions full of insights on the Retail and Consumer Markets. It takes place June 28 at Millennium Hotel Mayfair, London. To learn more